Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise Extrapolation Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2307.11156
Variational quantum algorithms have emerged as a cornerstone of contemporary quantum algorithms research. Practical implementations of these algorithms, despite offering certain levels of robustness against systematic errors, show a decline in performance due to the presence of stochastic errors and limited coherence time. In this work, we develop a recipe for mitigating quantum gate errors for variational algorithms using zero-noise extrapolation. We introduce an experimentally amenable method to control error strength in the circuit. We utilize the fact that gate errors in a physical quantum device are distributed inhomogeneously over different qubits and qubit pairs. As a result, one can achieve different circuit error sums based on the manner in which abstract qubits in the circuit are mapped to a physical device. We find that the estimated energy in the variational approach is approximately linear with respect to the circuit error sum (CES). Consequently, a linear fit through the energy-CES data, when extrapolated to zero CES, can approximate the energy estimated by a noiseless variational algorithm. We demonstrate this numerically and investigate the applicability range of the technique.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2307.11156
- https://arxiv.org/pdf/2307.11156
- OA Status
- green
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385209115
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385209115Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2307.11156Digital Object Identifier
- Title
-
Mitigating Quantum Gate Errors for Variational Eigensolvers Using Hardware-Inspired Zero-Noise ExtrapolationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-07-20Full publication date if available
- Authors
-
Alexey Uvarov, Daniil Rabinovich, Olga Lakhmanskaya, Kirill Lakhmanskiy, Jacob Biamonte, Soumik AdhikaryList of authors in order
- Landing page
-
https://arxiv.org/abs/2307.11156Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2307.11156Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2307.11156Direct OA link when available
- Concepts
-
Extrapolation, Qubit, Robustness (evolution), Computer science, Quantum, Quantum circuit, Algorithm, Noise (video), Error detection and correction, Quantum error correction, Coherence (philosophical gambling strategy), Mathematics, Quantum mechanics, Physics, Statistics, Artificial intelligence, Chemistry, Biochemistry, Gene, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
-
72Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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