Multi-target quantum compilation algorithm
Fuente:
arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866913585730420736 |
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| author | Hai, Vu Tuan Viet, Nguyen Tan Urbaneja, Jesus Linh, Nguyen Vu Tran, Lan Nguyen Ho, Le Bin |
| author_facet | Hai, Vu Tuan Viet, Nguyen Tan Urbaneja, Jesus Linh, Nguyen Vu Tran, Lan Nguyen Ho, Le Bin |
| contents | Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum state preparation, and quantum dynamic simulation. Traditional quantum compilation usually optimizes circuits for a single target. However, many quantum systems require simultaneous optimization of multiple targets, such as thermal state preparation, time-dependent dynamic simulation, and others. To address this, we develop a multi-target quantum compilation algorithm to improve the performance and flexibility of simulating multiple quantum systems. Our benchmarks and case studies demonstrate the effectiveness of the algorithm, highlighting the importance of multi-target optimization in advancing quantum computing. This work lays the groundwork for further development and evaluation of multi-target quantum compilation algorithms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_01010 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-target quantum compilation algorithm Hai, Vu Tuan Viet, Nguyen Tan Urbaneja, Jesus Linh, Nguyen Vu Tran, Lan Nguyen Ho, Le Bin Quantum Physics Quantum compilation is the process of converting a target unitary operation into a trainable unitary represented by a quantum circuit. It has a wide range of applications, including gate optimization, quantum-assisted compiling, quantum state preparation, and quantum dynamic simulation. Traditional quantum compilation usually optimizes circuits for a single target. However, many quantum systems require simultaneous optimization of multiple targets, such as thermal state preparation, time-dependent dynamic simulation, and others. To address this, we develop a multi-target quantum compilation algorithm to improve the performance and flexibility of simulating multiple quantum systems. Our benchmarks and case studies demonstrate the effectiveness of the algorithm, highlighting the importance of multi-target optimization in advancing quantum computing. This work lays the groundwork for further development and evaluation of multi-target quantum compilation algorithms. |
| title | Multi-target quantum compilation algorithm |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2407.01010 |