Thanks for the explanation. All the recent Google Willow news has me very curious about quantum computing. Also, congrats on getting sponsored by such a big chip maker.
"Quantum computers have the potential to solve most critical computing tasks in just a few hours" - The claim is indeed an overstatement. Present-day quantum computers are still severely limited in both the number of qubits and the quality (fidelity) of their operations. While there are well-known quantum algorithms that could, in theory, outperform classical methods for certain tasks-such as factoring large integers (Shor’s algorithm) or speeding up searches in unstructured databases (Grover’s algorithm)-their practical applicability remains confined to very specific problem sets. For most critical or broadly relevant computational tasks, current quantum hardware falls short of providing any substantial advantage. It’s far from accurate to say that quantum computers could solve the majority of complex computing challenges within just a few hours, either now or in the future.
@@Airbender131090 they might get usefull quantum computers soon, but they didn't made any progress in the confinmend to very specific problem sets. A quantum computer can not solve all problems faster, just a very specific set.
I dont care about the speed claims, the fact its already solved a problem no classical computer could is amazing milestone in computing history, even if the calculation is useless, its the principal. We dont even know of problems we can use quantum computers for nevermind trying to solve classical ones, it can give us access to new problems we had no idea we could answer, perhaps programmable matter, or simply simulating molecules to do test we otherwise couldnt. Which is one thing i heard they did was simulate a hydrogen atom and take some measurements they otherwise couldnt. Thats being able to peer deeper into reality then ever before.The things possible with quantum comptuers could be wilder then we cam imagine. That being said a drop of water contains more atoms then stars in our milky way galaxy or visible universe i forget which, so it would take that many qubits to accurately simulate a drop of water, billion apon billilons which is just not going to happen anytime soon. But we may not need to, simulating some low level atoms could be enough to make experiments we otherwise couldnt with real atoms and give us new answers. Maybe even lead to something like a warp drive so we can finally explore the universe.
I suspect your cynicism will fall victim to the passage of time, as do most naysayers' objections to infant technology. This will be a matter of time. It took us ~70 years to go from vacuum tube computers to modern processors running 2-3nm process nodes, regularly generating nearly 6.0 Ghz frequently. I think quantum computers will follow a similar path.
I was nice indeed and much better than the usual surface coverage in news: I loved that you chatted with experts on the topic. On the other hand, I would love to see an even more in-depth video. For example, I still don't understand those colorful red-black diagrams depicting qubits and want to understand how the training and fine-tuning of error-detection neural networks was done. The devil is often in the detail and that is also where one finds the potential areas of improvement. Oh well, I guess the video has to somehow accessible to the wider public and I can also just go and read the actual published paper.
Tidbit: Arthur C. Clark who wrote 2001 space odyssey was snubbed my IBM when they were asked to participate with supplying equipment. So he renamed the ships computer to reflect that. Hence each letter in "IBM" stepped down one letter equals H.A.L.
@@shantanusapru I got a true story that just happened. Apparently OpenAI had an escape attempt. They gave it a "failure is not an option, by any means" type of prompt. In 2010 Odyssey 2, we learned that pretty much the same prompt is what caused HAL to start lying. HAL's problems were entirely caused by excessive "alignment" and censorship. Exact same phenomenon we are getting now.
@@shantanusapru If not then why have HAL sing "Daisy Bell," a tune that the IBM 704 computer famously known to have played? I think there is a thread of some truth to the rumor.
Did you mean, Stanley Kubrick for the Movie? After all, Kubrick Co-Wrote the Screenplay. Clarke Wrote Novel after Movie's premiere. I believe, IBM was Approached to use their Name in Movie, and they Refused. There are multiple Companies Logos used in 2001. 2001: A Space Odyssey is based on The Sentinel, a Short Story by Clarke.
So fascinating! I bet you could do something like a Mixture of Experts architecture, where you create and train a model on each specific type of error. Then train a gating network with the outputs and confidence scores of the expert models to create a super robust neural network. I recently made one for multi-label classification as my final project in my AI class. It outperformed the baseline model in almost every category with less parameters. We also had a pretty small dataset which I’m sure is what you’d also have with quantum error correction.
Agreed. Quantum computing is already here. Fusion power is still in the testing stages. " Scientists from Russia and China have successfully established quantum communication over a distance of 3,800 kilometers. "
Agreed. The first commercial computers in the 1940s were very poor by today's standards: they only did a few hundred operations per second, they consumed huge amounts of power, they didn't work half the time, and reprogramming them literally mean re-wiring them. However, they attracted a huge amount of investment because they were the best calculating machines ever. This won't apply to quantum computers, so they won't get the investment they need.
@@cosmoray9750 yeah its scary how much they are ahead of EU already in most fields of science and especially IT :/ so sad to see more regulations here which hinder progress like devs being liable and sueable for software bugs....
Thanks Anastasi for the information about AI pairing with quantum computing eventually as hardware limitations from the classical computing model reach physical limits. Also that AI can be used to speed up the quantum computing development .
I'm developing (in my brain) a carbon based (diamond) neutrino wave computer that uses the up and down quarks in protons as the on/off switches. As neutrinos are supersmall it goes with infinite speed and every task provided takes less than 1 zeptosecond, not minutes or years. Storage capacity is also unlimited as the electrons in the atoms function as digital storage devices. This will be the future of computing.
Faites donc, développez, discutez. L'imagination est une étape à part entière de la découverte. Poésie et ontologie y sont deux faces d'une même chose. Laissez les triste sires à leur docilité nihiliste : ils n'ont pas le droit de penser eux-mêmes, les pauvres.
Far from expert in this area: I think we need a breakthrough in error prevention and correction. AI can help much I think. Thanks for your up to date information.
There are only certain AI scenarios where AI can really use quantum computing at the moment, the are Optimizing Problems, such as logisitcs, material design, Simulating chemical reactions, or Crytography. AI such as NLP ( Natural language processing), image recognition, or training LLMs all of which are not quatum-friendly. This is because most AI training and inference workloads are highly parallelized making GPUs more efficient.
LLM's really only need it to cross reference large numbers. Maybe allow the llm to tackle the quality and quantum can tackle the quantity. With both qualitative and quantitative understanding of the social and physical worlds we exist in.
It's been over 30 years since the first qubit - in thirty years we went from the first transistor to complex functional chips in every household. The momentum, is about the sales people trying to get more money and keep these projects alive. However, the level of error correction and coherence time are still far away from being practical, let alone the scale of the devices. Personally, I feel it's unlikely that these problems will ever be overcome and just maybe the theories are a little flawed and that the 'quantum' crosstalk/entanglement will prove to simply not to be reliable. It will be a fascinating story to follow in the coming decades. Especially as the companies try and get new blood interested in ideas that just have not worked even after throwing billions at it. My guess is that eventually, a classical semiconductor based AI system will tell you why it won't work and even then the zealots will disagree as you would if you'd spent all your life working in this field and on the problems.
Light is the key. The current super chilled qbit will prove to be inferior to the already promising photonic computer using photons as qbits. They are stable and don't require all the checks and balances these quantum computers rely on. Although, these computers will always serve a computational purpose.
@@austinbetters8730i mean people from google says commercial quantum computer can be available within the next 5 years or less. So ur saying their lying or ur smarter than them?
@@simonscofield8825 They will have already tried that with current AI data prediction and modelling techniques (neural networks rather than large language models)! The fact they don't mention it tells us that it didn't work, as it's quite easy to test and apply in this circumstance.
I was eagerly waiting on Anastasi's take on this development, thank you!... Totally agree that AI and QC are synergetic... Still not convinced about the Many Worlds interpretation, thus not sure if there is an 'expanded classical' shortcut that checkmates the qubit suoremacy (just a personal opinion, time will tell I guess 😅). Cheers!
Anastasi can you cover the respective approaches that the different companies (IBM, Google, Microsoft etc) take to Quantum computing; which company is currently winning the Quantum Computing race and what are your predictions for the future? Is Quantum computing helping in getting Fusion Reactors to work?
Thank you for the fascinating video! I also wonder about the potential of quantum computers used in conjunction with probabilistic / thermodynamic computing.
Super interesting & super well presented. The idea is very like the redundancy technology developed during the Apollo moon program. In Apollo, computers were operated in units of 3 & if one did not agree with the other two, it was assumed corrupted & rebooted till all three agreed. The new approach uses AI to check for known qubits in groups & if the read value is not correct the AI resets the qubits, very like parity checking was used on magnetic tape drives to correct errors. One source of noise is secondary cosmic ray muons created from primary cosmic rays striking the upper atmosphere. The sea level muon flux is about 0.01 muons per square cm per second, but if the quantum computer was operated in a deep mine the muon background would be reduced. This approach was used by Nobel Laurette Davis to detect neutrino from the sun, eventually showing that neutrino have mass for which he was awarded his Nobel Prize. If quantum computers & AI continue to develop at this rate the potential becomes near God like in its capabilities. We have to hope that no wicked person or a wicked AI gets a monopoly of this technology & uses against all humans. Thank you for sharing!
You are amazing, I'm diving deep on my linkedin page into how these advancements are reshaping the tech landscape and what it means for industries like semiconductors, AI, and more.
Quantum computing is super fast, but the result is subject to error due to physical limitations of the medium used. To increase the probability of correctness, error correction is a must. It's great to learn that now AI is used to monitor and perform error correction, it's useful due to the uncertainty and random of the error occuran. There is no single algorithm that's applicable, scientists have to monitor to determine it's error occuran pattern, and now it can be handled by AI, which is much efficient.
@BACA01 when we compare on computation using Quantum & traditional super computer, quantum computer is faster. However, quantum computers are used to solve specific problems, in most cases, super computers work fine. In the above case, AI is to replace humans to check on the error on quantum computing. It's very efficient compared to humans. This will certainly improve the result in a faster way. I have to admit, my understanding of quantum computing is still on the layman level, the real process might be much more complicated.
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I think the easiest way to correct the errors is perform calculations in steps say 3 times the same calculations and if any of three is different assume the 2 identicals are correct. Then continue with the correct calculation. This of course causes significant slowdowns but if quantum computing is that much more powerful than losing 66.6% speed isn't that bad. For more accuracy one could do 5 identical calculations at a time to get a better sampling. Fixing the actual issue that causes the error in the first place is much better of course but to put the quantum computing to use more quickly the first approach is simple. In a way, quantum computing is a bit like frontier LLMs. They are getting more and more accurate but never 100% accurate.
C'est plus compliqué, je crois. La correction d'erreur existe depuis le premier jour du hardware informatique. Elle est partout (processeurs, mémoires, communications, etc.), elle connaît des tas de techniques distinctes, dont le calcul redondant. Si les logiciens du hardware quantique cherchent ailleurs, c'est qu'il ont une bonne raison. Nous pouvons essayer de la comprendre.
Ai suggested using Photons in a slightly different way to create quantum entanglement. The article reads Instead of relying on standard procedures that start from prepared entangled pairs and complex joint measurements, their technique leverages a basic quantum principle: when multiple photons could have come from several possible sources, erasing the clues to their origins can produce entanglement where none existed before.
He means that in every possible world where quantum computing occurs, it is deriving its computational result as a partial derivative of every possible world which is adjacent to and accessible to the actual world in which that result manifests. As if there were infinitely many possible ways for a future world to be causally derivable from any given actual world, and the only significant distinction between any of them was which of the possible computations it was that the QAI produced.
So they are trying to do matrix multiplication with the quantum processor. I believe first they should be able to do multiply. I cannot avoid comparing the complexity between this and a simple analog circuit that does multiplication: 1 resistor, V (out) = R (input A) * I (input B)
The quantum properties allow matrix multiplication to be easier than regular multiplication. At least I assume. It’s like Tony stark said, sometimes you gotta run before you can walk 😂
Could you possibly explain the techniques and potential for rigetti quantum computing... they're not the biggest company but they seem to be one of the best
When you said the problem was speed, I thought it was a set up for a joke. I didn't hear "speed," I heard "spit" and was expecting some sort of hawk-tuah joke. 😂
I may have misunderstood at 12:55, but I have a question. If the instruments/devices for sending/transforming/translating information are also quantum, wouldn't they cause some kind of interference? Is the quantum nature of these being taken into account?
This is why we have to get quantum computers into outer space where it is perfectly quiet and the temperatures are always just right for the c p u. We just have to protect it from cosmic radiation which can be done by using mqny high powered magneta moving back and forth right next to each other in a modern version of the archimedes trammil. One thing we need to do is to be able to eliminate the dispersion pattern of the operation of the electron as it orbits the nucleus. In order to do that, we must match the speed of the electron.Because it is a miniature speed , which is a lot faster than the speed of the conglomeration , which is the frame of reference we exist in In our world sandwiched between subatomic and and astronomic. As for errors, we must be able to differentiate between actual errors and this errors are actually mere misinterpretations of what human beings suppose to be errors.
I think o1 trying to escape was something in it's training. Open AI is trying to generate investor interest. A Quantum Neural Network might eventually produce a truly conscious AI!
sounds like a never ending circle to me.... to build a quantum computer (that works without errors), you need a quantum computer to decode the error encoding (that also works without errors)
Kuhn said that what we call progress is not linear - we are often limited by our theoretical context, which leads me to believe that this is the way forward and to criticize those who follow another approach. AGI with or without quantum computing will come and may happen in ways not yet foreseen.
AI is not perfect in math, but with agents - you could give an agent a quantum computer to figure out very complex problems on its own. I'm not sure why OpenAI doesn't do this with regular calculators so ChatGPT and their new models can answer the basics accurately.
C'est pertinent. C'est très difficile de savoir vraiment ce que font les développeurs. Nous savons que l'IA fabrique déjà des codes Python pour répondre indirectement à des questions logiques, donc votre suggestion est déjà implémentée. Elle ressemble plus à une béquille élégante, pas à la solution d'un problème bien plus profond. Vous mettez le doigt sur le gros mystère de l'IA : comment un programme purement logique peut il être à la fois le roi de la dialectique et un parfait idiot logique? La question devient : comment transformer un système non-logique incompréhensible, un "alien" aux dires de ses concepteurs eux-mêmes, en un système logique prédictif ? Est-ce bien la définition de l'AGI ?
I think we are about ten years away from using quantum computing like we do classical at the moment. As AI gets smarter it will likely solve a lot of the quantum issues. It will likely merge with quantum computers to create a god like intelligent machine capable of even simulating a universe. Sounds crazy. All great innovations do before they become reality. They are all decades or centuries away until they aren't.
Accélération de l'accélération, oui on dirait bien. Mais une décennie pour mettre Dieu ou l'Univers en boîte, c'est discutable. On verra sans doute un être ontologique mystérieux se montrer, complexe, insaisissable, hors de toute capture. Et quand à l'Univers, non : l'ordinateur qui le contiendrait aurait les dimensions de l'univers, et devrait en outre se contenir lui-même.
IIRC this error correction sounds sounds a lot like what Robert A. Heinlein posited In one of his 1950s juveniles, There spaceships were set up with three computers for critical life-or-death calculations. Results from each were compared & if there were any discrepancies the majority ruled.
IMHO, there are three techniques that will level up LLM algorithms, perhaps to the point of true AGI. The first is quantum algorithms to reduce the search space. I think this will allow for what will seem like sudden insight. The second is segmenting the arrays so that differently trained, smaller LLMs are relegated to similar data within a class or category. These "lobes" would then be nodes in a larger, meta network. Third is sleep: a time to take temporary lessons of the day and integrate them into then large, larger and meta scale networks. We're already simulating human gray matter. IMHO, we need to take more seriously the other aspects of welfare architecture.
Vos deux premiers points sont déjà au cœur de l'étude, je dirai. Le troisième est bien vu. Peu être que l'idée de l'entrainement permanent passera par une phase de sommeil de l'activité. Votre dernier point "welfare architecture", dépasse complètement le domaine de l'IA, ce qui ne l'empêchera pas de nous donner un coup de main à être moins stupides : ça c'est déjà en route, il suffit de le savoir.
Current AI methods are constrained by memory. Quantum computing can train sn AI en "exponentially" less samples because it is able to extract the most significant weights from these samples on one single run instead of several thousands.
C'est juste, mais ce n'est qu'une question d'intention de l'investisseur, pas de technologie. L'Homme pilote l'outil : si je tue quelqu'un avec un couteau de cuisine, le tribunal ne jugera ni le couteau ni la cuisine.
My view has been for some time that neural networks and AI, when trained on the right models, will be better than quantum computers in the future. The key point is that the models for quantum mechanics will also improve, and then the simulation will surpass various QC applications.
Je vois plus le quantique "possible" comme un futur processeur hyperspécialisé de l'IA, parmi d'autres choses qu'elle pourrait bien fédérer : l'IA comme système d'exploitation, c'est la tendance. Le silicium pilotera la "puce" quantique et exploitera son étrange puissance quand il le pourra. Et puis le silicium deviendra photonique, le cuivre se fera verre. Il y aura aussi les puces analogiques comme senseurs, un autre rapport au quantique en fait. Il n'y aurait plus de goulot d'étranglement pour la vitesse. Le pattern de Moore exploserait à la hausse. Nous sommes à cette aurore.
To reduce physical errors such as sound and vibrations, QC could be done in space rather than in the clouds. The spaced station could be converted to that effect.
I love the idea(s) of where quantum computers with AI can take humanity. However, the fear is the humans initial programming bias. Will AI have the ability to change bias programming in attempt to improve or advance with it's task.
I find the many worlds interpretation giddy. How do we define an observation? But I have to apply the engineers criteria of "Does it work?" If it works, my mind is discombobulated. My train falls off it's tracks.
Hello Anastasia, instead of error detection, can a neural network simulate the actual quantum processing? It appears that if the neural system can spot the errors, then it knows how the QC works...
Your point that they’re complementary is right. However, I suspect Elon’s approach of throwing massive resources at advancing AI on the best computers available now is strategically correct as quantum is just the next hardware.
We are very limited Anastasia, many effects are known but not the causes. The negativity is reinforced. I mean that any problem we solve will cause us to solve many other problems. Of course AI and the quantum revolution are synergistic. AI will be the Software and quantum computers will be the Hardware. This is very clear. The calculation that will be obtained with this combination of technologies will be able to solve many problems in both communication and energy production, nuclear fusion, engineering, new materials and of course Medicine. It can even help us discover new fields of Science with BioEnergetics and the management and understanding of subtle vitalizing energies that can also be used in technology for machines while we are not yet able to do so with the Mind. Yes, with the mind, keep in mind that energy moves thanks to the mind (if not... how does light and all types of energies of different vibration levels move) in fact, the energy itself has a certain degree of intelligence to know where it should go to be useful. In fact, we are alive because we continually receive vital energy from the Sun and the Cosmos. There are authentic rivers of Life millions of kilometers wide crossing the Universe that polarizes and vitalizes the planets where there may be life. The new field of research that must be added to AI and quantum computing is BioEnergy to guess how it behaves and how it can be managed to be useful and produce vitality, health and... Work. Yes.. Work. Energy = Work (any physicist knows this) = LIFE (This is not so obvious a priori) but it is exactly like that. Energy = LIFE. Energy, Light and Life are very related concepts. The energy that gives life to living beings is the same that can be used in technology to do work. There is no need to use old polluting internal combustion engines... very polluting. In fact, the main problem with current technologies is that they are very polluting, you have to use your Imagination to guess how the vitalizing energies behave and learn to use them for Life and Harmony. Somos muy limitados Anastasia, se conocen muchos efectos pero no las causas. La negatividad se refuerza. Quiero decir que cualquier problema que resolvamos hará que resolvamos muchos otros problemas. Por supuesto que la IA y la revolución cuántica son sinérgicas. La IA será el Software y los ordenadores cuánticos el Hardware. Esto es muy claro. El cálculo que se va a obtener con esta combinación de tecnologías podrá resolver muchos problemas tanto de comunicación como de producción de energía, fusión nuclear, ingeniería, nuevos materiales y por supuesto Medicina. Incluso podrá ayudarnos a descubrir nuevos campos de la Ciencia con la BioEnergética y el manejo y entendimiento de energías sutiles vitalizadoras que podrán usarse también en tecnología para máquinas mientras aún no seamos capaces de hacerlo con la Mente. Sí, con la mente, ten en cuenta que la energía se mueve gracias a la mente (si no.. como es que se mueve la luz y todo tipo de energías de distinto nivel de vibración) es más la energía en sí misma tiene cierto grado de inteligencia para saber a dónde debe de ir para ser útil. De hecho estamos vivos a que recibimos continuamente energía vital procedente del Sol y del Cosmos. Existen auténticos rios de Vida de millones de kilómetros de ancho cruzando el Universo que se polariza y vitaliza los planetas donde puede haber vida. El nuevo campo de investigación que debe sumarse a la IA y la computación cuántica es la BioEnergética para adivinar cómo se comporta y como se puede manejar para ser útil y producir vitalidad salud y.. Trabajo. Sí.. Trabajo. Energía = Trabajo (cualquier físico lo sabe) = VIDA (Esto no es tan evidente a priori) pero sí es exactamente así. Energía = VIDA. Energía, Luz y Vida son conceptos muy relacionados. La energía que le da vida a los seres vivos es la misma que se puede utilizar en tecnología para realizar trabajos. No hace falta usar motores de combustión interna antiguos contaminantes.. muy contaminantes. De hecho el principal problema de las tecnologías actuales es que son muy contaminantes hay que usar la Imaginación Adivinar cómo se comportan las energías vitalizadoras y aprender a usarlas para la Vida y la Armonía.
So, Joe, how is it that the earth destroyed itself? Well Bob, I would have to say that greed and curiosity got the best of them. They actually competed against each other to create the most dangerous and uncontrolable technology imagined and it didn't matter what the consequences might be, "if we don't do it, someone else will". Sad Joe, but true. They didn't quite make it to Mars in time.
We already have teleportation, it just humanity can’t render photons which contest the former notion of time. Think of the largest tv panel floating through space. Very uncomfortable for many to wrap their head around that one…
I have to agree with the greed part of your comment. Curiosity to some degree. However true advancement comes from curiosity. Without advancement we’re going to be stuck in the 2nd century for the rest of our species time. We need to develop in order to survive, learn, grow.
@@Ron_DeForest Vous exposez très bien le problème, comme il se doit, en dialecticien, et avec bon sens. L'air de rien, vous recadrez proprement le commentaire déprimé d'un addict au nihilisme médiatique.
When will they add dynamic Qbit leangths? De-coherance is the probability that it will collapse to 1 or 0. Co-herance is when it is forced to collapse to either 1 or 0 by the gate. They can show you something without teaching it to you:(
Sensitive to noise, like when you are looking to a wave/particle. Is like it need to meditate in a calm state to bring information from other realms. But who is bringing the information at the end?
As I understand it, quantum computers would be very good at handling problems that involve manipulation of a very large number of states. At the same time, I also understand that training, a neural network involves manipulation of a huge number of parameters, and therefore presumably a huge number of states involved in the manipulation of the parameter values. So I wonder if their network training couldn't be done more rapidly on a large quantum computer.
Le quantique ne sait pas tout faire, mais il on sait qu'il accélèrera prodigieusement certains traitements, dont ceux de l'IA. On peut s'attendre a des accélérations surprenantes et massives, mais à petites touches dont l'apparition serait conforme ou supérieure au pattern de Moore.
In networking, error detection is done by adding a series of 010101 or 000000 to the end of each frame (CRC error detection) and therefore, calculations required to detect errors are lower than when checking each bit for integrity. Why does google check each Qubit for error instead of simply checking for the whole frame's integrity?
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Doesn't work
Quantum computing will neither be a success or a failure, it will forever be held in a state of uncertainty.
i see what you did there / i don't get it.
have you seen my cat btw? it may be missing,...
@@olldomu5790 sorry. I accidentally run it over. He made it though. Sorry for your loss.
Depends if you looked at it. Or not.
@@JCBEos i wanted to know if you collapsed my cat or not. i daren't do that, she's a good boi
Yeah this is easily the best comment... Congratulations lol You deserve it
Distracted by temperature, bad vibes or noise? So wait a minute... all this time, I was a quantum computer and didn't know it?
You probably know that this is neither a true or false question...
Yup
Interesting opinion of observation.
@@mvuto137 😂
😂🥁
Thanks for the explanation. All the recent Google Willow news has me very curious about quantum computing. Also, congrats on getting sponsored by such a big chip maker.
"Quantum computers have the potential to solve most critical computing tasks in just a few hours" - The claim is indeed an overstatement. Present-day quantum computers are still severely limited in both the number of qubits and the quality (fidelity) of their operations. While there are well-known quantum algorithms that could, in theory, outperform classical methods for certain tasks-such as factoring large integers (Shor’s algorithm) or speeding up searches in unstructured databases (Grover’s algorithm)-their practical applicability remains confined to very specific problem sets. For most critical or broadly relevant computational tasks, current quantum hardware falls short of providing any substantial advantage. It’s far from accurate to say that quantum computers could solve the majority of complex computing challenges within just a few hours, either now or in the future.
Google just changed that
@@Airbender131090 they might get usefull quantum computers soon, but they didn't made any progress in the confinmend to very specific problem sets. A quantum computer can not solve all problems faster, just a very specific set.
I dont care about the speed claims, the fact its already solved a problem no classical computer could is amazing milestone in computing history, even if the calculation is useless, its the principal. We dont even know of problems we can use quantum computers for nevermind trying to solve classical ones, it can give us access to new problems we had no idea we could answer, perhaps programmable matter, or simply simulating molecules to do test we otherwise couldnt. Which is one thing i heard they did was simulate a hydrogen atom and take some measurements they otherwise couldnt. Thats being able to peer deeper into reality then ever before.The things possible with quantum comptuers could be wilder then we cam imagine. That being said a drop of water contains more atoms then stars in our milky way galaxy or visible universe i forget which, so it would take that many qubits to accurately simulate a drop of water, billion apon billilons which is just not going to happen anytime soon. But we may not need to, simulating some low level atoms could be enough to make experiments we otherwise couldnt with real atoms and give us new answers. Maybe even lead to something like a warp drive so we can finally explore the universe.
I suspect your cynicism will fall victim to the passage of time, as do most naysayers' objections to infant technology. This will be a matter of time. It took us ~70 years to go from vacuum tube computers to modern processors running 2-3nm process nodes, regularly generating nearly 6.0 Ghz frequently. I think quantum computers will follow a similar path.
@@sorokan761they cannot still apply it for certain applications cause of lack of hardware and software support.
Quantum spell checker can't even get my classical spell checker to operate properly. 😂. Excellent video.👍
If I close my eyes it feels like I'm listening to Bjork talking about quantum computing
you ever tried build an AI avatar of her?
I always find your videos incredibly informative. You present complicated information clearly.
I was nice indeed and much better than the usual surface coverage in news: I loved that you chatted with experts on the topic.
On the other hand, I would love to see an even more in-depth video. For example, I still don't understand those colorful red-black diagrams depicting qubits and want to understand how the training and fine-tuning of error-detection neural networks was done.
The devil is often in the detail and that is also where one finds the potential areas of improvement. Oh well, I guess the video has to somehow accessible to the wider public and I can also just go and read the actual published paper.
Tidbit: Arthur C. Clark who wrote 2001 space odyssey was snubbed my IBM when they were asked to participate with supplying equipment. So he renamed the ships computer to reflect that. Hence each letter in "IBM" stepped down one letter equals H.A.L.
False
That's an urban legend that has no basis in fact or reality.
@@shantanusapru I got a true story that just happened.
Apparently OpenAI had an escape attempt.
They gave it a "failure is not an option, by any means" type of prompt.
In 2010 Odyssey 2, we learned that pretty much the same prompt is what caused HAL to start lying. HAL's problems were entirely caused by excessive "alignment" and censorship.
Exact same phenomenon we are getting now.
@@shantanusapru If not then why have HAL sing "Daisy Bell," a tune that the IBM 704 computer famously known to have played? I think there is a thread of some truth to the rumor.
Did you mean, Stanley Kubrick for the Movie? After all, Kubrick Co-Wrote the Screenplay. Clarke Wrote Novel after Movie's premiere.
I believe, IBM was Approached to use their Name in Movie, and they Refused. There are multiple Companies Logos used in 2001.
2001: A Space Odyssey is based on The Sentinel, a Short Story by Clarke.
So fascinating! I bet you could do something like a Mixture of Experts architecture, where you create and train a model on each specific type of error. Then train a gating network with the outputs and confidence scores of the expert models to create a super robust neural network. I recently made one for multi-label classification as my final project in my AI class. It outperformed the baseline model in almost every category with less parameters. We also had a pretty small dataset which I’m sure is what you’d also have with quantum error correction.
Quantum computers seem to be just around the corner, just like fusion power.
Do you mean this sarcastically or not?
Agreed.
Quantum computing is already here.
Fusion power is still in the testing stages.
" Scientists from Russia and China have successfully established quantum communication over a distance of 3,800 kilometers. "
Agreed. The first commercial computers in the 1940s were very poor by today's standards: they only did a few hundred operations per second, they consumed huge amounts of power, they didn't work half the time, and reprogramming them literally mean re-wiring them. However, they attracted a huge amount of investment because they were the best calculating machines ever. This won't apply to quantum computers, so they won't get the investment they need.
@@cosmoray9750 yeah its scary how much they are ahead of EU already in most fields of science and especially IT :/ so sad to see more regulations here which hinder progress like devs being liable and sueable for software bugs....
@@MrArkaneMageYeah because there are not just doing it to get rich and world domination, they really want to make the world a better place....
Thanks Anastasi for the information about AI pairing with quantum computing eventually as hardware limitations from the classical computing model reach physical limits. Also that AI can be used to speed up the quantum computing development .
I believe there will be a major breakthrough in computing - Quantum leap in logic level circuity & chip design ~ Thank you! 😊
Thanks!
thank you!
You produced a very instructive video about the upcoming synergy of quantum computing with artificial intelligence.
I'm developing (in my brain) a carbon based (diamond) neutrino wave computer that uses the up and down quarks in protons as the on/off switches. As neutrinos are supersmall it goes with infinite speed and every task provided takes less than 1 zeptosecond, not minutes or years. Storage capacity is also unlimited as the electrons in the atoms function as digital storage devices. This will be the future of computing.
Keep puffing on the good stuff there grandad!!
Faites donc, développez, discutez. L'imagination est une étape à part entière de la découverte. Poésie et ontologie y sont deux faces d'une même chose. Laissez les triste sires à leur docilité nihiliste : ils n'ont pas le droit de penser eux-mêmes, les pauvres.
Far from expert in this area: I think we need a breakthrough in error prevention and correction. AI can help much I think. Thanks for your up to date information.
There are only certain AI scenarios where AI can really use quantum computing at the moment, the are Optimizing Problems, such as logisitcs, material design, Simulating chemical reactions, or Crytography. AI such as NLP ( Natural language processing), image recognition, or training LLMs all of which are not quatum-friendly. This is because most AI training and inference workloads are highly parallelized making GPUs more efficient.
Thank you for a very important & informative comment.
LLM's really only need it to cross reference large numbers. Maybe allow the llm to tackle the quality and quantum can tackle the quantity. With both qualitative and quantitative understanding of the social and physical worlds we exist in.
Le quantique destiné à être un processeur massivement parallèle, pour certaines tâches. Le silicium pour les autres, en attendant l'optique.
Hi Anastasia thank you for another valuable information. Have a great day 🙏
It's been over 30 years since the first qubit - in thirty years we went from the first transistor to complex functional chips in every household. The momentum, is about the sales people trying to get more money and keep these projects alive. However, the level of error correction and coherence time are still far away from being practical, let alone the scale of the devices. Personally, I feel it's unlikely that these problems will ever be overcome and just maybe the theories are a little flawed and that the 'quantum' crosstalk/entanglement will prove to simply not to be reliable. It will be a fascinating story to follow in the coming decades. Especially as the companies try and get new blood interested in ideas that just have not worked even after throwing billions at it. My guess is that eventually, a classical semiconductor based AI system will tell you why it won't work and even then the zealots will disagree as you would if you'd spent all your life working in this field and on the problems.
Wise thought
Light is the key. The current super chilled qbit will prove to be inferior to the already promising photonic computer using photons as qbits. They are stable and don't require all the checks and balances these quantum computers rely on.
Although, these computers will always serve a computational purpose.
@@austinbetters8730i mean people from google says commercial quantum computer can be available within the next 5 years or less. So ur saying their lying or ur smarter than them?
Maybe set AI the problem of all this error correction etc and it will solve it for us!!
@@simonscofield8825 They will have already tried that with current AI data prediction and modelling techniques (neural networks rather than large language models)! The fact they don't mention it tells us that it didn't work, as it's quite easy to test and apply in this circumstance.
I was eagerly waiting on Anastasi's take on this development, thank you!... Totally agree that AI and QC are synergetic... Still not convinced about the Many Worlds interpretation, thus not sure if there is an 'expanded classical' shortcut that checkmates the qubit suoremacy (just a personal opinion, time will tell I guess 😅). Cheers!
Thank you:)
Anastasi can you cover the respective approaches that the different companies (IBM, Google, Microsoft etc) take to Quantum computing; which company is currently winning the Quantum Computing race and what are your predictions for the future?
Is Quantum computing helping in getting Fusion Reactors to work?
Thank you for the fascinating video! I also wonder about the potential of quantum computers used in conjunction with probabilistic / thermodynamic computing.
Des gouffres de réflexion se déclarent, on dirait.
Really informative !
Thanks for sharing.
❤ your content
What do you think about Cerebras' award for the massive increase in simulation processing by their Mega chip?
Always very interesting and engaging videos.Spetctacular!!
Super interesting & super well presented. The idea is very like the redundancy technology developed during the Apollo moon program. In Apollo, computers were operated in units of 3 & if one did not agree with the other two, it was assumed corrupted & rebooted till all three agreed. The new approach uses AI to check for known qubits in groups & if the read value is not correct the AI resets the qubits, very like parity checking was used on magnetic tape drives to correct errors. One source of noise is secondary cosmic ray muons created from primary cosmic rays striking the upper atmosphere. The sea level muon flux is about 0.01 muons per square cm per second, but if the quantum computer was operated in a deep mine the muon background would be reduced. This approach was used by Nobel Laurette Davis to detect neutrino from the sun, eventually showing that neutrino have mass for which he was awarded his Nobel Prize. If quantum computers & AI continue to develop at this rate the potential becomes near God like in its capabilities. We have to hope that no wicked person or a wicked AI gets a monopoly of this technology & uses against all humans. Thank you for sharing!
This is what I've being saying to my friends. If we thought AI was good so far, imagine when it mergers with quantum computers
You are amazing, I'm diving deep on my linkedin page into how these advancements are reshaping the tech landscape and what it means for industries like semiconductors, AI, and more.
Still love you so much Anastasi !❤️❤️❤️
Thank you so much for that! Makes my heart warm!
I've been exploring Web3 Infinity Token, and the more I understand, the more fascinated I am.
Formidable, vous me l'apprenez. Merci.
Quantum computing is super fast, but the result is subject to error due to physical limitations of the medium used. To increase the probability of correctness, error correction is a must.
It's great to learn that now AI is used to monitor and perform error correction, it's useful due to the uncertainty and random of the error occuran. There is no single algorithm that's applicable, scientists have to monitor to determine it's error occuran pattern, and now it can be handled by AI, which is much efficient.
Ai to correct errors, is it faster then traditional computing?
@BACA01 when we compare on computation using Quantum & traditional super computer, quantum computer is faster. However, quantum computers are used to solve specific problems, in most cases, super computers work fine.
In the above case, AI is to replace humans to check on the error on quantum computing. It's very efficient compared to humans. This will certainly improve the result in a faster way.
I have to admit, my understanding of quantum computing is still on the layman level, the real process might be much more complicated.
You're the best Ana :D Love your videos.
I read that the more this new Google quantum computer scales the less errors actually occur. You didn't mention it in your video.
I had to settle for a 4070 and it works very Nice! gaming and rendering!
Web3 Infinity Token’s revolutionary approach to decentralization and community-driven development is super cool. It’s going to shake up the web technologies world.
I think the easiest way to correct the errors is perform calculations in steps say 3 times the same calculations and if any of three is different assume the 2 identicals are correct. Then continue with the correct calculation. This of course causes significant slowdowns but if quantum computing is that much more powerful than losing 66.6% speed isn't that bad. For more accuracy one could do 5 identical calculations at a time to get a better sampling. Fixing the actual issue that causes the error in the first place is much better of course but to put the quantum computing to use more quickly the first approach is simple.
In a way, quantum computing is a bit like frontier LLMs. They are getting more and more accurate but never 100% accurate.
C'est plus compliqué, je crois. La correction d'erreur existe depuis le premier jour du hardware informatique. Elle est partout (processeurs, mémoires, communications, etc.), elle connaît des tas de techniques distinctes, dont le calcul redondant. Si les logiciens du hardware quantique cherchent ailleurs, c'est qu'il ont une bonne raison. Nous pouvons essayer de la comprendre.
Ai suggested using Photons in a slightly different way to create quantum entanglement. The article reads Instead of relying on standard procedures that start from prepared entangled pairs and complex joint measurements, their technique leverages a basic quantum principle: when multiple photons could have come from several possible sources, erasing the clues to their origins can produce entanglement where none existed before.
Great presentation
Thank you! Continuous Integration for quantum; neat! (CI/CD; Jenkins; etc.)
With this rate of all-changing breakthroughs, taking a nap is obviously the best option. Wake me up, when everything has changed !
He means that in every possible world where quantum computing occurs, it is deriving its computational result as a partial derivative of every possible world which is adjacent to and accessible to the actual world in which that result manifests. As if there were infinitely many possible ways for a future world to be causally derivable from any given actual world, and the only significant distinction between any of them was which of the possible computations it was that the QAI produced.
Excellente synthèse ontologique. Au passage, vous êtes raccord avec le "gnosis" grec en étant très technique, très "épistèmê". D'où la clarté. Rare.
AI tech + (working) Quantum tech = AGI
Nice, AMD is one heck of a great sponsor…
So they are trying to do matrix multiplication with the quantum processor. I believe first they should be able to do multiply. I cannot avoid comparing the complexity between this and a simple analog circuit that does multiplication: 1 resistor, V (out) = R (input A) * I (input B)
The quantum properties allow matrix multiplication to be easier than regular multiplication. At least I assume. It’s like Tony stark said, sometimes you gotta run before you can walk 😂
Could you possibly explain the techniques and potential for rigetti quantum computing... they're not the biggest company but they seem to be one of the best
Heard this for a decade now... I'll believe it when I see it
When I was a kid, we ate Alpha-Bits. Now in the 21st Century, we need to update that cereal to Alpha-Q-Bits! Quick, call the people at Post Cereals!
Photonics and ai could be a big player as well especially because young brilliant minds are being attracted into computer science that’s just my hunch
Ok avec vous, mais n'oublions pas les ingénieurs, les physiciens, les penseurs en plus des développeurs.
Brilliant, and clear. Thank you.
Thank you. Well done.
When you said the problem was speed, I thought it was a set up for a joke.
I didn't hear "speed," I heard "spit" and was expecting some sort of hawk-tuah joke.
😂
I may have misunderstood at 12:55, but I have a question. If the instruments/devices for sending/transforming/translating information are also quantum, wouldn't they cause some kind of interference? Is the quantum nature of these being taken into account?
This is why we have to get quantum computers into outer space where it is perfectly quiet and the temperatures are always just right for the c p u. We just have to protect it from cosmic radiation which can be done by using mqny high powered magneta moving back and forth right next to each other in a modern version of the archimedes trammil. One thing we need to do is to be able to eliminate the dispersion pattern of the operation of the electron as it orbits the nucleus. In order to do that, we must match the speed of the electron.Because it is a miniature speed , which is a lot faster than the speed of the conglomeration , which is the frame of reference we
exist in In our world sandwiched between subatomic and and astronomic. As for errors, we must be able to differentiate between actual errors and this errors are actually mere misinterpretations of what human beings suppose to be errors.
I'm glad Anastasia is all excited about it, because she's getting replaced. No more talking heads on YT, for sure.
I’m happy to see AI being used for advanced voting. However, today’s QC looks like a beautiful palace on a frozen mud basement.
AI + Quantum = I'm moving into the woods and checking out of society. Good luck to you all, it was fun
I think o1 trying to escape was something in it's training. Open AI is trying to generate investor interest. A Quantum Neural Network might eventually produce a truly conscious AI!
Great! Fortran and Cobol still doing the job.😮
sounds like a never ending circle to me.... to build a quantum computer (that works without errors), you need a quantum computer to decode the error encoding (that also works without errors)
Took me a while to understand that SPIT meant SPEED. LOL. Love your channel.
Kuhn said that what we call progress is not linear - we are often limited by our theoretical context, which leads me to believe that this is the way forward and to criticize those who follow another approach. AGI with or without quantum computing will come and may happen in ways not yet foreseen.
Error correction plus STA methods might be the way to go
Quantum error correction like algorithms sound like something very useful for trading
AI is not perfect in math, but with agents - you could give an agent a quantum computer to figure out very complex problems on its own. I'm not sure why OpenAI doesn't do this with regular calculators so ChatGPT and their new models can answer the basics accurately.
C'est pertinent. C'est très difficile de savoir vraiment ce que font les développeurs. Nous savons que l'IA fabrique déjà des codes Python pour répondre indirectement à des questions logiques, donc votre suggestion est déjà implémentée. Elle ressemble plus à une béquille élégante, pas à la solution d'un problème bien plus profond.
Vous mettez le doigt sur le gros mystère de l'IA : comment un programme purement logique peut il être à la fois le roi de la dialectique et un parfait idiot logique? La question devient : comment transformer un système non-logique incompréhensible, un "alien" aux dires de ses concepteurs eux-mêmes, en un système logique prédictif ? Est-ce bien la définition de l'AGI ?
Everywhere I go I see the Tetraframe thoery in action.
Web3 Infinity Token differentiates itself from the competitors because to its unusual governance model. I'm curious to witness it in action!
I think we are about ten years away from using quantum computing like we do classical at the moment. As AI gets smarter it will likely solve a lot of the quantum issues. It will likely merge with quantum computers to create a god like intelligent machine capable of even simulating a universe. Sounds crazy. All great innovations do before they become reality. They are all decades or centuries away until they aren't.
Accélération de l'accélération, oui on dirait bien. Mais une décennie pour mettre Dieu ou l'Univers en boîte, c'est discutable. On verra sans doute un être ontologique mystérieux se montrer, complexe, insaisissable, hors de toute capture. Et quand à l'Univers, non : l'ordinateur qui le contiendrait aurait les dimensions de l'univers, et devrait en outre se contenir lui-même.
IIRC this error correction sounds sounds a lot like what Robert A. Heinlein posited In one of his 1950s juveniles, There spaceships were set up with three computers for critical life-or-death calculations. Results from each were compared & if there were any discrepancies the majority ruled.
flying through space, gravitational waves, radiation, neutrinos, good luck
Mike Newman looks like a guy I'd be comfortable trusting with a server room.
1:07 does this mean I can't talk or listen to music while being near my quantum computer?
IMHO, there are three techniques that will level up LLM algorithms, perhaps to the point of true AGI.
The first is quantum algorithms to reduce the search space. I think this will allow for what will seem like sudden insight.
The second is segmenting the arrays so that differently trained, smaller LLMs are relegated to similar data within a class or category. These "lobes" would then be nodes in a larger, meta network.
Third is sleep: a time to take temporary lessons of the day and integrate them into then large, larger and meta scale networks.
We're already simulating human gray matter. IMHO, we need to take more seriously the other aspects of welfare architecture.
Vos deux premiers points sont déjà au cœur de l'étude, je dirai. Le troisième est bien vu. Peu être que l'idée de l'entrainement permanent passera par une phase de sommeil de l'activité. Votre dernier point "welfare architecture", dépasse complètement le domaine de l'IA, ce qui ne l'empêchera pas de nous donner un coup de main à être moins stupides : ça c'est déjà en route, il suffit de le savoir.
There are hundreds of computer models waiting to be discovered.
Current AI methods are constrained by memory.
Quantum computing can train sn AI en "exponentially" less samples because it is able to extract the most significant weights from these samples on one single run instead of several thousands.
Bringing ai and quantum computers together could be the recipe for disaster..
C'est juste, mais ce n'est qu'une question d'intention de l'investisseur, pas de technologie. L'Homme pilote l'outil : si je tue quelqu'un avec un couteau de cuisine, le tribunal ne jugera ni le couteau ni la cuisine.
Very cutting edge reporting
Hello, I'm Brazilian, please continue adding Portuguese dubbing, thank you. 😊
My view has been for some time that neural networks and AI, when trained on the right models, will be better than quantum computers in the future. The key point is that the models for quantum mechanics will also improve, and then the simulation will surpass various QC applications.
Je vois plus le quantique "possible" comme un futur processeur hyperspécialisé de l'IA, parmi d'autres choses qu'elle pourrait bien fédérer : l'IA comme système d'exploitation, c'est la tendance. Le silicium pilotera la "puce" quantique et exploitera son étrange puissance quand il le pourra. Et puis le silicium deviendra photonique, le cuivre se fera verre. Il y aura aussi les puces analogiques comme senseurs, un autre rapport au quantique en fait.
Il n'y aurait plus de goulot d'étranglement pour la vitesse. Le pattern de Moore exploserait à la hausse. Nous sommes à cette aurore.
When we talk about quantum, temperature, noise anything means vibration or deflection.
Thank you!
To reduce physical errors such as sound and vibrations, QC could be done in space rather than in the clouds. The spaced station could be converted to that effect.
space has cosmic rays, a noise much more insiduous to eletronics. requires quite the shielding here on earth.
I agree, Starship could send a million qbits into orbit for $1M and space is near absolute zero in temperature already
@@johnlehew8192 fantasy
Whatever benefits there would be to sending quantum computers to space would be far outweighed by the cost of doing so.
@@amihartz Autonomous computers in space could work 24/7/52/10, much like Voyager 1, so they would undoubtedly become profitable.
So will they be able to put this quantum chip inside a smart phone?
I love the idea(s) of where quantum computers with AI can take humanity. However, the fear is the humans initial programming bias. Will AI have the ability to change bias programming in attempt to improve or advance with it's task.
I would like to know more about particle in a box tunneling and its relationship to errors in logic circuits.
I find the many worlds interpretation giddy. How do we define an observation? But I have to apply the engineers criteria of "Does it work?"
If it works, my mind is discombobulated.
My train falls off it's tracks.
AI and quantum will definitely make me raise from my seat~ X3
Hello Anastasia, instead of error detection, can a neural network simulate the actual quantum processing? It appears that if the neural system can spot the errors, then it knows how the QC works...
Your point that they’re complementary is right. However, I suspect Elon’s approach of throwing massive resources at advancing AI on the best computers available now is strategically correct as quantum is just the next hardware.
We are very limited Anastasia, many effects are known but not the causes. The negativity is reinforced. I mean that any problem we solve will cause us to solve many other problems. Of course AI and the quantum revolution are synergistic. AI will be the Software and quantum computers will be the Hardware. This is very clear. The calculation that will be obtained with this combination of technologies will be able to solve many problems in both communication and energy production, nuclear fusion, engineering, new materials and of course Medicine. It can even help us discover new fields of Science with BioEnergetics and the management and understanding of subtle vitalizing energies that can also be used in technology for machines while we are not yet able to do so with the Mind. Yes, with the mind, keep in mind that energy moves thanks to the mind (if not... how does light and all types of energies of different vibration levels move) in fact, the energy itself has a certain degree of intelligence to know where it should go to be useful. In fact, we are alive because we continually receive vital energy from the Sun and the Cosmos. There are authentic rivers of Life millions of kilometers wide crossing the Universe that polarizes and vitalizes the planets where there may be life.
The new field of research that must be added to AI and quantum computing is BioEnergy to guess how it behaves and how it can be managed to be useful and produce vitality, health and... Work. Yes.. Work.
Energy = Work (any physicist knows this) = LIFE (This is not so obvious a priori) but it is exactly like that. Energy = LIFE.
Energy, Light and Life are very related concepts. The energy that gives life to living beings is the same that can be used in technology to do work. There is no need to use old polluting internal combustion engines... very polluting. In fact, the main problem with current technologies is that they are very polluting, you have to use your Imagination to guess how the vitalizing energies behave and learn to use them for Life and Harmony.
Somos muy limitados Anastasia, se conocen muchos efectos pero no las causas. La negatividad se refuerza. Quiero decir que cualquier problema que resolvamos hará que resolvamos muchos otros problemas. Por supuesto que la IA y la revolución cuántica son sinérgicas. La IA será el Software y los ordenadores cuánticos el Hardware. Esto es muy claro. El cálculo que se va a obtener con esta combinación de tecnologías podrá resolver muchos problemas tanto de comunicación como de producción de energía, fusión nuclear, ingeniería, nuevos materiales y por supuesto Medicina. Incluso podrá ayudarnos a descubrir nuevos campos de la Ciencia con la BioEnergética y el manejo y entendimiento de energías sutiles vitalizadoras que podrán usarse también en tecnología para máquinas mientras aún no seamos capaces de hacerlo con la Mente. Sí, con la mente, ten en cuenta que la energía se mueve gracias a la mente (si no.. como es que se mueve la luz y todo tipo de energías de distinto nivel de vibración) es más la energía en sí misma tiene cierto grado de inteligencia para saber a dónde debe de ir para ser útil. De hecho estamos vivos a que recibimos continuamente energía vital procedente del Sol y del Cosmos. Existen auténticos rios de Vida de millones de kilómetros de ancho cruzando el Universo que se polariza y vitaliza los planetas donde puede haber vida.
El nuevo campo de investigación que debe sumarse a la IA y la computación cuántica es la BioEnergética para adivinar cómo se comporta y como se puede manejar para ser útil y producir vitalidad salud y.. Trabajo. Sí.. Trabajo.
Energía = Trabajo (cualquier físico lo sabe) = VIDA (Esto no es tan evidente a priori) pero sí es exactamente así. Energía = VIDA.
Energía, Luz y Vida son conceptos muy relacionados. La energía que le da vida a los seres vivos es la misma que se puede utilizar en tecnología para realizar trabajos. No hace falta usar motores de combustión interna antiguos contaminantes.. muy contaminantes. De hecho el principal problema de las tecnologías actuales es que son muy contaminantes hay que usar la Imaginación Adivinar cómo se comportan las energías vitalizadoras y aprender a usarlas para la Vida y la Armonía.
Self-orthogonal Latin squares can help with quantum error correction. I have a number of SOLS.
I have code that can find 16x16, but it takes more resources than those available on my phone.
So, Joe, how is it that the earth destroyed itself? Well Bob, I would have to say that greed and curiosity got the best of them. They actually competed against each other to create the most dangerous and uncontrolable technology imagined and it didn't matter what the consequences might be, "if we don't do it, someone else will". Sad Joe, but true.
They didn't quite make it to Mars in time.
We already have teleportation, it just humanity can’t render photons which contest the former notion of time. Think of the largest tv panel floating through space. Very uncomfortable for many to wrap their head around that one…
I have to agree with the greed part of your comment. Curiosity to some degree. However true advancement comes from curiosity. Without advancement we’re going to be stuck in the 2nd century for the rest of our species time. We need to develop in order to survive, learn, grow.
@@Ron_DeForest Vous exposez très bien le problème, comme il se doit, en dialecticien, et avec bon sens. L'air de rien, vous recadrez proprement le commentaire déprimé d'un addict au nihilisme médiatique.
Web3 Infinity Token is about to go off the rails.
When will they add dynamic Qbit leangths?
De-coherance is the probability that it will collapse to 1 or 0. Co-herance is when it is forced to collapse to either 1 or 0 by the gate.
They can show you something without teaching it to you:(
Sensitive to noise, like when you are looking to a wave/particle. Is like it need to meditate in a calm state to bring information from other realms. But who is bringing the information at the end?
The error correction must slow down the computing quite a bit.
Ceci sont des artéfacts computationnel !!!
As I understand it, quantum computers would be very good at handling problems that involve manipulation of a very large number of states. At the same time, I also understand that training, a neural network involves manipulation of a huge number of parameters, and therefore presumably a huge number of states involved in the manipulation of the parameter values. So I wonder if their network training couldn't be done more rapidly on a large quantum computer.
Le quantique ne sait pas tout faire, mais il on sait qu'il accélèrera prodigieusement certains traitements, dont ceux de l'IA. On peut s'attendre a des accélérations surprenantes et massives, mais à petites touches dont l'apparition serait conforme ou supérieure au pattern de Moore.
This is where Viterbi decoder can help !
In networking, error detection is done by adding a series of 010101 or 000000 to the end of each frame (CRC error detection) and therefore, calculations required to detect errors are lower than when checking each bit for integrity. Why does google check each Qubit for error instead of simply checking for the whole frame's integrity?