Rapid mixing for Gibbs states within a logical sector: a dynamical view of self-correcting...
Thiago Bergamaschi (UC Berkeley) https://simons.berkeley.edu/talks/thiago-bergamaschi-uc-berkeley-2025-05-27 Quantum Algorithms, Complexity, and Fault Tolera...
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Thiago Bergamaschi (UC Berkeley)
https://simons.berkeley.edu/talks/thiago-bergamaschi-uc-berkeley-2025-05-27
Quantum Algorithms, Complexity, and Fault Tolerance Reunion
Self-correcting quantum memories store logical quantum information for exponential time in thermal equilibrium at low temperatures. By definition, these systems are slow mixing. This raises the question of how the memory state, which we refer to as the Gibbs state within a logical sector, is created in the first place.
In this paper, we show that when initialized from a ground state of the 4D toric code, a quasi-local quantum Gibbs sampler rapidly converges to the corresponding low-temperature Gibbs state within a logical sector, which then remains meta-stable. This illustrates a dynamical view of self-correcting quantum memories, where the “syndrome sector” rapidly converges to thermal equilibrium, while the “logical sector” remains stable.
The key technical ingredients behind our approach are new, low-temperature decay-of-correlation properties for these meta-stable states. We generalize our results to a broad class of self-correcting quantum memories on lattices with parity check redundancies.
Based on joint work with Reza Gheissari and Yunchao Liu.
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#Simons Institute #theoretical computer science #UC Berkeley #Computer Science #Theory of Computing #foundations of computing #Quantum Algorithms; Complexity; and Fault Tolerance Reunion #Thiago Bergamaschi
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