Tutorial 3: AI for Quantum, quantum for AI

Tutorial 3: AI for Quantum, quantum for AI
Speaker: Nagendra Nagaraja (Qpi Technology)
Tutorial Abstract:
Quantum computers are based on Quantum mechanics representation of information using qubits. Quantum phenomenon like superposition, entanglement and Quantum interference. Quantum compute by its basic computation structure is massively parallel and can solve NP hard and combinatorial optimization problems better than classical compute. Hence problems in the area of drug discovery , transportation, Finance and manufacturing that are combinatorial optimization problems can be better solved using Quantum computers. But Quantum computers are in the hyperplane which need to be controlled by tuning various parameters of Qubits from the quantum control circuit. This is not possible manually or through adding more people at work. This is a problem that has to be solved by AI. So a Quantum computer to operate efficiently requires AI . Future of AI is in modelling intelligence efficiently using combination bits, qubits and neurons, this requires a Quantum computer to make AI more effective, Greener and sustainable .
About Speaker:
Dr Nagendra Nagaraja is a serial entrepreneur, who has raised $5 million USD in the past and currently is CEO , Chairman and Founder of QpiAI and its parent Qpi Technology. He has PhD in wireless and AI from Coventry university UK . He has a masters in Network engineering from Illinois Institute of Technology , Chicago and Bachelors of engineering from Bangalore university. He holds 25+ granted patents in wireless, AI, Quantum computing, security and multimedia and many more pending applications. He has a total of 22 years experience in the technology industry.