Peter Lunts - Hybrid Monte Carlo with autotuning for condensed matter theories (1/2)

Peter Lunts' (Harvard University) first half of his key note contribution at the 2024 ALF Workshop on the recently developed hybrid QMC with autotuning for condensed matter theories.
Outline (Day 1)
• Intro
• Domain of application
• HMC vs BSS
• Basics of HMC
• Pseudofermions
• HMC sampling
• Efficiency of sampling and autotuning
• HMC hyperparameters
• Optimization of step size and number of steps
• Metric use and optimal metric
• Autotuning
• Example of spin-fermion model (clean and disordered)
Second part: • Peter Lunts - Hybrid M...
This presentation was recorded at the ALF User Workshop 2024:
alfworkshop202...