Faster Digital Quantum Simulation by Symmetry Protection
Minh C. Tran, Yuan Su, Daniel Carney, Jacob M. Taylor

TL;DR
This paper introduces a symmetry protection method for quantum simulation that reduces errors by leveraging system symmetries, leading to faster and more accurate simulations of complex quantum systems.
Contribution
The authors develop a rigorous symmetry protection technique that significantly improves quantum simulation accuracy by error suppression, with proven bounds and practical applications.
Findings
Error reduction by several orders of magnitude in simulations
Effective error suppression using symmetry-based projections
Potential protection against $1/f$ noise in solid-state systems
Abstract
Simulating the dynamics of quantum systems is an important application of quantum computers and has seen a variety of implementations on current hardware. We show that by introducing quantum gates implementing unitary transformations generated by the symmetries of the system, one can induce destructive interference between the errors from different steps of the simulation, effectively giving faster quantum simulation by symmetry protection. We derive rigorous bounds on the error of a symmetry-protected simulation algorithm and identify conditions for optimal symmetry protection. In particular, when the symmetry transformations are chosen as powers of a unitary, the error of the algorithm is approximately projected to the so-called quantum Zeno subspaces. We prove a bound on this approximation error, exponentially improving a recent result of Burgarth, Facchi, Gramegna, and Pascazio. We…
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