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From Reinforcement Learning to Spin Glasses The many surprises in Quantum Stale preparation
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Quantum State Preparations
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The quantum state preparation problem
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Fidelity optimization
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Many-body problem
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Stochastic descent and local minima
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Measuring order parameters
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Many-body system phase diagram
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Manifold learning and clustering
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Clustering in Glassy Phase
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Conclusion
Description:
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
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From Reinforcement Learning to Spin Glasses The many surprises in Quantum Stale preparation