Using Chaos to Characterize a Programmable Analog Quantum Simulator

Explore a 38-minute lecture by Adam Shaw from Caltech on using chaos to characterize programmable analog quantum simulators. Delve into the study of Rydberg atom arrays executing time-independent Hamiltonian dynamics, uncovering phenomena like the emergence of random behavior from deterministic evolution. Learn about fidelity estimation techniques for preparing large-scale entangled states and discover a new method for learning experimentally compatible noise models directly from many-body data. Examine the extension of benchmarking to systems with up to 60 atoms, entering a realm where exact classical simulation becomes impractical. Investigate a novel proxy for experimental mixed state entanglement that is comparable across quantum platforms and may reflect the classical complexity of quantum simulation. Gain insights into the characterization of analog quantum systems and their potential applications in solving specific problems more efficiently than universal quantum computers.

Using chaos to characterize a programmable analog quantum simulator