Quantum error mitigation in quantum annealing
Mohammad H. Amin, Andrew D. King, Jack Raymond, Richard Harris,, William Bernoudy, Andrew J. Berkley, Kelly Boothby, Anatoly Smirnov, Fabio, Altomare, Michael Babcock, Catia Baron, Jake Connor, Martin Dehn, Colin, Enderud, Emile Hoskinson, Shuiyuan Huang, Mark W. Johnson

TL;DR
This paper introduces quantum error mitigation techniques specifically for quantum annealing, utilizing Zero-Noise Extrapolation methods to reduce thermal and control errors, validated through experiments on a spin chain model.
Contribution
It adapts Zero-Noise Extrapolation for quantum annealing and demonstrates its effectiveness in mitigating thermal and control errors through experimental validation.
Findings
Successful mitigation of thermal noise in quantum annealing.
Energy-time rescaling reduces control errors in coherent regimes.
ZNE results align with exact calculations over extended annealing times.
Abstract
Quantum Error Mitigation (QEM) presents a promising near-term approach to reduce error when estimating expectation values in quantum computing. Here, we introduce QEM techniques tailored for quantum annealing, using Zero-Noise Extrapolation (ZNE). We implement ZNE through zero-temperature extrapolation as well as energy-time rescaling. We conduct experimental investigations into the quantum critical dynamics of a transverse-field Ising spin chain, demonstrating the successful mitigation of thermal noise through both of these techniques. Moreover, we show that energy-time rescaling effectively mitigates control errors in the coherent regime where the effect of thermal noise is minimal. Our ZNE results agree with exact calculations of the coherent evolution over a range of annealing times that exceeds the coherent annealing range by almost an order of magnitude.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
