Error mitigation via verified phase estimation
Thomas E. O'Brien, Stefano Polla, Nicholas C. Rubin, William J., Huggins, Sam McArdle, Sergio Boixo, Jarrod R. McClean, and Ryan Babbush

TL;DR
This paper introduces verified phase estimation (VPE), a low-cost error mitigation method for quantum computers that reduces errors in expectation value estimation by post-selecting for the initial state, showing significant improvements in simulations.
Contribution
The paper presents VPE, a novel error mitigation technique that simplifies quantum error correction by effectively detecting and discarding certain errors during phase estimation.
Findings
VPE achieves several orders of magnitude improvement in expectation value accuracy.
VPE can mitigate against any single error with error scaling as O(p^2).
Numerical simulations demonstrate VPE's robustness at near-term error rates.
Abstract
The accumulation of noise in quantum computers is the dominant issue stymieing the push of quantum algorithms beyond their classical counterparts. We do not expect to be able to afford the overhead required for quantum error correction in the next decade, so in the meantime we must rely on low-cost, unscalable error mitigation techniques to bring quantum computing to its full potential. This paper presents a new error mitigation technique based on quantum phase estimation that can also reduce errors in expectation value estimation (e.g., for variational algorithms). The general idea is to apply phase estimation while effectively post-selecting for the system register to be in the starting state, which allows us to catch and discard errors which knock us away from there. We refer to this technique as "verified phase estimation" (VPE) and show that it can be adapted to function without…
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