Overview
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Explore the frontiers of quantum prediction and learning in this Quantum Colloquium talk. Delve into recent advancements in understanding quantum experiments and their efficiency. Discover how reliable predictions can be made with fewer experiments than expected, and examine problems that are impossible to learn. Investigate rigorous statements demonstrating how quantum technology, including sensors, memory, and computers, can enhance learning and prediction capabilities. Follow the journey through classical agents, multiple experiments, classical shadow formalism, world models, and quantum advantages in physical dynamics. Gain insights from collaborations with renowned experts in the field as you navigate the complexities of making predictions in a quantum world.
Syllabus
Introduction
Learning
Classical Agent
One Experiment
Multiple Experiments
Classical Shadow Formalism
What if nothing is known
World Model
Unlearnable
Learnable
Partially Revealed
Quantum Memory
Quantum Advantage in Physical Dynamics
Conclusion
Questions
Taught by
Simons Institute