Practical Introduction to Benchmarking and Characterization of Quantum Computers
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation c...
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2025-08-01
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| Series: | PRX Quantum |
| Online Access: | http://doi.org/10.1103/PRXQuantum.6.030202 |
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| _version_ | 1849399947397431296 |
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| author | Akel Hashim Long B. Nguyen Noah Goss Brian Marinelli Ravi K. Naik Trevor Chistolini Jordan Hines J.P. Marceaux Yosep Kim Pranav Gokhale Teague Tomesh Senrui Chen Liang Jiang Samuele Ferracin Kenneth Rudinger Timothy Proctor Kevin C. Young Irfan Siddiqi Robin Blume-Kohout |
| author_facet | Akel Hashim Long B. Nguyen Noah Goss Brian Marinelli Ravi K. Naik Trevor Chistolini Jordan Hines J.P. Marceaux Yosep Kim Pranav Gokhale Teague Tomesh Senrui Chen Liang Jiang Samuele Ferracin Kenneth Rudinger Timothy Proctor Kevin C. Young Irfan Siddiqi Robin Blume-Kohout |
| author_sort | Akel Hashim |
| collection | DOAJ |
| description | Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. These remarkable achievements have been facilitated by advances in quantum characterization, verification, and validation (QCVV). QCVV methods and protocols enable scientists and engineers to scrutinize, understand, and enhance the performance of quantum information-processing devices. In this tutorial, we review the fundamental principles underpinning QCVV, and introduce a diverse array of QCVV tools used by quantum researchers. We define and explain QCVV’s core models and concepts—quantum states, measurements, and processes—and illustrate how these building blocks are leveraged to examine a target system or operation. We survey and introduce protocols ranging from simple qubit characterization to advanced benchmarking methods. Along the way, we provide illustrated examples and detailed descriptions of the protocols, highlight the advantages and disadvantages of each, and discuss their potential scalability to future large-scale quantum computers. This tutorial serves as a guidebook for researchers unfamiliar with the benchmarking and characterization of quantum computers, and also as a detailed reference for experienced practitioners. |
| format | Article |
| id | doaj-art-df5e193adf46442a8fc5ad9010a5a1e7 |
| institution | Kabale University |
| issn | 2691-3399 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | PRX Quantum |
| spelling | doaj-art-df5e193adf46442a8fc5ad9010a5a1e72025-08-20T03:38:12ZengAmerican Physical SocietyPRX Quantum2691-33992025-08-016303020210.1103/PRXQuantum.6.030202Practical Introduction to Benchmarking and Characterization of Quantum ComputersAkel HashimLong B. NguyenNoah GossBrian MarinelliRavi K. NaikTrevor ChistoliniJordan HinesJ.P. MarceauxYosep KimPranav GokhaleTeague TomeshSenrui ChenLiang JiangSamuele FerracinKenneth RudingerTimothy ProctorKevin C. YoungIrfan SiddiqiRobin Blume-KohoutRapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quantum error correction are bringing useful quantum computation closer to fruition. These remarkable achievements have been facilitated by advances in quantum characterization, verification, and validation (QCVV). QCVV methods and protocols enable scientists and engineers to scrutinize, understand, and enhance the performance of quantum information-processing devices. In this tutorial, we review the fundamental principles underpinning QCVV, and introduce a diverse array of QCVV tools used by quantum researchers. We define and explain QCVV’s core models and concepts—quantum states, measurements, and processes—and illustrate how these building blocks are leveraged to examine a target system or operation. We survey and introduce protocols ranging from simple qubit characterization to advanced benchmarking methods. Along the way, we provide illustrated examples and detailed descriptions of the protocols, highlight the advantages and disadvantages of each, and discuss their potential scalability to future large-scale quantum computers. This tutorial serves as a guidebook for researchers unfamiliar with the benchmarking and characterization of quantum computers, and also as a detailed reference for experienced practitioners.http://doi.org/10.1103/PRXQuantum.6.030202 |
| spellingShingle | Akel Hashim Long B. Nguyen Noah Goss Brian Marinelli Ravi K. Naik Trevor Chistolini Jordan Hines J.P. Marceaux Yosep Kim Pranav Gokhale Teague Tomesh Senrui Chen Liang Jiang Samuele Ferracin Kenneth Rudinger Timothy Proctor Kevin C. Young Irfan Siddiqi Robin Blume-Kohout Practical Introduction to Benchmarking and Characterization of Quantum Computers PRX Quantum |
| title | Practical Introduction to Benchmarking and Characterization of Quantum Computers |
| title_full | Practical Introduction to Benchmarking and Characterization of Quantum Computers |
| title_fullStr | Practical Introduction to Benchmarking and Characterization of Quantum Computers |
| title_full_unstemmed | Practical Introduction to Benchmarking and Characterization of Quantum Computers |
| title_short | Practical Introduction to Benchmarking and Characterization of Quantum Computers |
| title_sort | practical introduction to benchmarking and characterization of quantum computers |
| url | http://doi.org/10.1103/PRXQuantum.6.030202 |
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