Scalable Full-Stack Benchmarks for Quantum Computers
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912672941867008 |
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| author | Hines, Jordan Proctor, Timothy |
| author_facet | Hines, Jordan Proctor, Timothy |
| contents | Quantum processors are now able to run quantum circuits that are infeasible to simulate classically, creating a need for benchmarks that assess a quantum processor's rate of errors when running these circuits. Here, we introduce a general technique for creating efficient benchmarks from any set of quantum computations, specified by unitary circuits. Our benchmarks assess the integrated performance of a quantum processor's classical compilation algorithms and its low-level quantum operations. Unlike existing "full-stack benchmarks", our benchmarks do not require classical simulations of quantum circuits, and they use only efficient classical computations. We use our method to create randomized circuit benchmarks, including a computationally efficient version of the quantum volume benchmark, and an algorithm-based benchmark that uses Hamiltonian simulation circuits. We perform these benchmarks on IBM Q devices and in simulations, and we compare their results to the results of existing benchmarking methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_14107 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Scalable Full-Stack Benchmarks for Quantum Computers Hines, Jordan Proctor, Timothy Quantum Physics Quantum processors are now able to run quantum circuits that are infeasible to simulate classically, creating a need for benchmarks that assess a quantum processor's rate of errors when running these circuits. Here, we introduce a general technique for creating efficient benchmarks from any set of quantum computations, specified by unitary circuits. Our benchmarks assess the integrated performance of a quantum processor's classical compilation algorithms and its low-level quantum operations. Unlike existing "full-stack benchmarks", our benchmarks do not require classical simulations of quantum circuits, and they use only efficient classical computations. We use our method to create randomized circuit benchmarks, including a computationally efficient version of the quantum volume benchmark, and an algorithm-based benchmark that uses Hamiltonian simulation circuits. We perform these benchmarks on IBM Q devices and in simulations, and we compare their results to the results of existing benchmarking methods. |
| title | Scalable Full-Stack Benchmarks for Quantum Computers |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2312.14107 |