Explore the fascinating connections between reinforcement learning, spin glasses, and quantum state preparation in this 29-minute APS Physics talk by Pankaj Mehta from Boston University. Delve into the quantum state preparation problem, fidelity optimization, and many-body systems. Discover the intricacies of stochastic descent, local minima, and order parameter measurements. Examine the phase diagram of many-body systems and learn about manifold learning and clustering techniques. Investigate the clustering phenomena in glassy phases and gain insights into the surprising intersections of these diverse fields in quantum physics research.
From Reinforcement Learning to Spin Glasses - The Many Surprises in Quantum State Preparation
APS Physics via YouTube
Overview
Syllabus
From Reinforcement Learning to Spin Glasses The many surprises in Quantum Stale preparation
Quantum State Preparations
The quantum state preparation problem
Fidelity optimization
Many-body problem
Stochastic descent and local minima
Measuring order parameters
Many-body system phase diagram
Manifold learning and clustering
Clustering in Glassy Phase
Conclusion
Taught by
APS Physics
