Noise, Complexity, and Information Dynamics in Quantum Circuits - IPAM at UCLA
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore a comprehensive lecture on the impact of noise in large-scale quantum systems, presented by Thomas Schuster from the California Institute of Technology at IPAM's Many-body Quantum Systems via Classical and Quantum Computation Workshop. Delve into two recent works that utilize quantum information dynamics to understand noise propagation in ergodic many-body quantum systems. Discover a framework that yields predictions for time-reversal benchmarking protocols and potentially explains recent NMR experiments on interacting quantum spins. Learn about a polynomial-time classical algorithm for simulating expectation values in noisy quantum circuits, which extends results on noisy random circuit sampling. Gain insights into the limitations of quantum experiments providing exponential speed-ups over classical computation in the presence of noise. Recorded on November 8, 2023, this one-hour talk offers valuable knowledge for researchers and enthusiasts in quantum computing and information dynamics.
Syllabus
Thomas Schuster - Noise, complexity, and information dynamics in quantum circuits - IPAM at UCLA
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
Quantum Information Science II: Advanced quantum algorithms and information theoryMassachusetts Institute of Technology via edX Physical Basics of Quantum Computing
Saint Petersburg State University via Coursera Advanced Quantum Mechanics with Applications
Indian Institute of Technology Guwahati via Swayam Selected chapters of quantum mechanics for modern engineering
National University of Science and Technology MISiS via edX Predicting Many Properties of a Quantum System from Very Few Measurements
Simons Institute via YouTube