Multi-qubit correction for quantum annealers
Abstract We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with lower energy value. After sampling from the ground state of a given...
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Nature Portfolio
2021
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oai:doaj.org-article:d626f5a38df249f0ac56098191c19eaa2021-12-02T19:06:40ZMulti-qubit correction for quantum annealers10.1038/s41598-021-95482-w2045-2322https://doaj.org/article/d626f5a38df249f0ac56098191c19eaa2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95482-whttps://doaj.org/toc/2045-2322Abstract We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with lower energy value. After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels—i.e., a group of qubits that changing their states simultaneously can result in a new state with lower energy value—and successively converges to the ground state. Experimental results using D-Wave 2000Q quantum annealers demonstrate that MQC finds samples with notably lower energy values and improves the reproducibility of results when compared to recent hardware/software advances in the realm of quantum annealing, such as spin-reversal transforms, classical postprocessing techniques, and increased inter-sample delay between successive measurements.Ramin AyanzadehJohn DorbandMilton HalemTim FininNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) |
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Medicine R Science Q Ramin Ayanzadeh John Dorband Milton Halem Tim Finin Multi-qubit correction for quantum annealers |
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Abstract We present multi-qubit correction (MQC) as a novel postprocessing method for quantum annealers that views the evolution in an open-system as a Gibbs sampler and reduces a set of excited states to a new synthetic state with lower energy value. After sampling from the ground state of a given (Ising) Hamiltonian, MQC compares pairs of excited states to recognize virtual tunnels—i.e., a group of qubits that changing their states simultaneously can result in a new state with lower energy value—and successively converges to the ground state. Experimental results using D-Wave 2000Q quantum annealers demonstrate that MQC finds samples with notably lower energy values and improves the reproducibility of results when compared to recent hardware/software advances in the realm of quantum annealing, such as spin-reversal transforms, classical postprocessing techniques, and increased inter-sample delay between successive measurements. |
format |
article |
author |
Ramin Ayanzadeh John Dorband Milton Halem Tim Finin |
author_facet |
Ramin Ayanzadeh John Dorband Milton Halem Tim Finin |
author_sort |
Ramin Ayanzadeh |
title |
Multi-qubit correction for quantum annealers |
title_short |
Multi-qubit correction for quantum annealers |
title_full |
Multi-qubit correction for quantum annealers |
title_fullStr |
Multi-qubit correction for quantum annealers |
title_full_unstemmed |
Multi-qubit correction for quantum annealers |
title_sort |
multi-qubit correction for quantum annealers |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/d626f5a38df249f0ac56098191c19eaa |
work_keys_str_mv |
AT raminayanzadeh multiqubitcorrectionforquantumannealers AT johndorband multiqubitcorrectionforquantumannealers AT miltonhalem multiqubitcorrectionforquantumannealers AT timfinin multiqubitcorrectionforquantumannealers |
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1718377178770440192 |