Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2021
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| _version_ | 1866914838250258432 |
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| author | Blinov, S. Wu, B. Monroe, C. |
| author_facet | Blinov, S. Wu, B. Monroe, C. |
| contents | Quantum computing represents a radical departure from conventional approaches to information processing, offering the potential for solving problems that can never be approached classically. While large scale quantum computer hardware is still in development, several quantum computing systems have recently become available as commercial cloud services. We compare the performance of these systems on several simple quantum circuits and algorithms, and examine component performance in the context of each system's architecture. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2102_00371 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures Blinov, S. Wu, B. Monroe, C. Quantum Physics Emerging Technologies Quantum computing represents a radical departure from conventional approaches to information processing, offering the potential for solving problems that can never be approached classically. While large scale quantum computer hardware is still in development, several quantum computing systems have recently become available as commercial cloud services. We compare the performance of these systems on several simple quantum circuits and algorithms, and examine component performance in the context of each system's architecture. |
| title | Comparison of Cloud-Based Ion Trap and Superconducting Quantum Computer Architectures |
| topic | Quantum Physics Emerging Technologies |
| url | https://arxiv.org/abs/2102.00371 |