Volumetric Benchmarking of Error Mitigation with Qermit
The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum states, but instead aims to reduce the approximation e...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2023-07-01
|
| Series: | Quantum |
| Online Access: | https://quantum-journal.org/papers/q-2023-07-13-1059/pdf/ |
| _version_ | 1797781003856510976 |
|---|---|
| author | Cristina Cirstoiu Silas Dilkes Daniel Mills Seyon Sivarajah Ross Duncan |
| author_facet | Cristina Cirstoiu Silas Dilkes Daniel Mills Seyon Sivarajah Ross Duncan |
| author_sort | Cristina Cirstoiu |
| collection | DOAJ |
| description | The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum states, but instead aims to reduce the approximation error in quantities of concern, such as expectation values of observables. However, it is as yet unclear which circuit types, and devices of which characteristics, benefit most from the use of error mitigation. Here we develop a methodology to assess the performance of quantum error mitigation techniques. Our benchmarks are volumetric in design, and are performed on different superconducting hardware devices. Extensive classical simulations are also used for comparison. We use these benchmarks to identify disconnects between the predicted and practical performance of error mitigation protocols, and to identify the situations in which their use is beneficial. To perform these experiments, and for the benefit of the wider community, we introduce $Qermit$ – an open source python package for quantum error mitigation. Qermit supports a wide range of error mitigation methods, is easily extensible and has a modular graph-based software design that facilitates composition of error mitigation protocols and subroutines. |
| first_indexed | 2024-03-12T23:51:40Z |
| format | Article |
| id | doaj.art-d2530d4282c34542a871b1a71a25213b |
| institution | Directory Open Access Journal |
| issn | 2521-327X |
| language | English |
| last_indexed | 2024-03-12T23:51:40Z |
| publishDate | 2023-07-01 |
| publisher | Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften |
| record_format | Article |
| series | Quantum |
| spelling | doaj.art-d2530d4282c34542a871b1a71a25213b2023-07-13T15:16:52ZengVerein zur Förderung des Open Access Publizierens in den QuantenwissenschaftenQuantum2521-327X2023-07-017105910.22331/q-2023-07-13-105910.22331/q-2023-07-13-1059Volumetric Benchmarking of Error Mitigation with QermitCristina CirstoiuSilas DilkesDaniel MillsSeyon SivarajahRoss DuncanThe detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be used. Error mitigation does not increase the fidelity of quantum states, but instead aims to reduce the approximation error in quantities of concern, such as expectation values of observables. However, it is as yet unclear which circuit types, and devices of which characteristics, benefit most from the use of error mitigation. Here we develop a methodology to assess the performance of quantum error mitigation techniques. Our benchmarks are volumetric in design, and are performed on different superconducting hardware devices. Extensive classical simulations are also used for comparison. We use these benchmarks to identify disconnects between the predicted and practical performance of error mitigation protocols, and to identify the situations in which their use is beneficial. To perform these experiments, and for the benefit of the wider community, we introduce $Qermit$ – an open source python package for quantum error mitigation. Qermit supports a wide range of error mitigation methods, is easily extensible and has a modular graph-based software design that facilitates composition of error mitigation protocols and subroutines.https://quantum-journal.org/papers/q-2023-07-13-1059/pdf/ |
| spellingShingle | Cristina Cirstoiu Silas Dilkes Daniel Mills Seyon Sivarajah Ross Duncan Volumetric Benchmarking of Error Mitigation with Qermit Quantum |
| title | Volumetric Benchmarking of Error Mitigation with Qermit |
| title_full | Volumetric Benchmarking of Error Mitigation with Qermit |
| title_fullStr | Volumetric Benchmarking of Error Mitigation with Qermit |
| title_full_unstemmed | Volumetric Benchmarking of Error Mitigation with Qermit |
| title_short | Volumetric Benchmarking of Error Mitigation with Qermit |
| title_sort | volumetric benchmarking of error mitigation with qermit |
| url | https://quantum-journal.org/papers/q-2023-07-13-1059/pdf/ |
| work_keys_str_mv | AT cristinacirstoiu volumetricbenchmarkingoferrormitigationwithqermit AT silasdilkes volumetricbenchmarkingoferrormitigationwithqermit AT danielmills volumetricbenchmarkingoferrormitigationwithqermit AT seyonsivarajah volumetricbenchmarkingoferrormitigationwithqermit AT rossduncan volumetricbenchmarkingoferrormitigationwithqermit |