Phase Transition in Random Circuit Sampling | Quantum Colloquium

Published on ● Video Link: https://www.youtube.com/watch?v=engVOtegEMI



Duration: 2:09:44
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Sergio Boixo (Google) & Kostyantyn Kechedzhi (Google)
https://simons.berkeley.edu/events/quantum-colloquium-phase-transition-random-circuit-sampling
Quantum Colloquium

Quantum computers hold the promise of executing tasks beyond the capability of classical computers. Noise competes with coherent evolution and destroys long-range correlations, making it an outstanding challenge to fully leverage the computation power of near-term quantum processors. We report Random Circuit Sampling (RCS) experiments where we identify distinct phases driven by the interplay between quantum dynamics and noise. Using cross-entropy benchmarking, we observe phase boundaries which can define the computational complexity of noisy quantum evolution. We conclude by presenting an RCS experiment with 70 qubits at 24 cycles. We estimate the computational cost against improved classical methods and demonstrate that our experiment is beyond the capabilities of existing classical supercomputers.

Panel discussion: Soonwon Choi (MIT), Alexander Dalzell (AWS), and Bill Fefferman (University of Chicago)







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Quantum Colloquium
Sergio Boixo
Kostyantyn Kechedzhi
Soonwon Choi
Alexander Dalzell
Bill Fefferman