Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917744228696064 |
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| author | Shaik, Irfansha van de Pol, Jaco |
| author_facet | Shaik, Irfansha van de Pol, Jaco |
| contents | CNOT optimization plays a significant role in noise reduction for Quantum Circuits. Several heuristic and exact approaches exist for CNOT optimization. In this paper, we investigate more complicated variations of optimal synthesis by allowing qubit permutations and handling layout restrictions. We encode such problems into Planning, SAT, and QBF. We provide optimization for both CNOT gate count and circuit depth. For experimental evaluation, we consider standard T-gate optimized benchmarks and optimize CNOT sub-circuits. We show that allowing qubit permutations can further reduce up to 56% in CNOT count and 46% in circuit depth. In the case of optimally mapped circuits under layout restrictions, we observe a reduction up to 17% CNOT count and 19% CNOT depth. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_04349 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation Shaik, Irfansha van de Pol, Jaco Quantum Physics Artificial Intelligence CNOT optimization plays a significant role in noise reduction for Quantum Circuits. Several heuristic and exact approaches exist for CNOT optimization. In this paper, we investigate more complicated variations of optimal synthesis by allowing qubit permutations and handling layout restrictions. We encode such problems into Planning, SAT, and QBF. We provide optimization for both CNOT gate count and circuit depth. For experimental evaluation, we consider standard T-gate optimized benchmarks and optimize CNOT sub-circuits. We show that allowing qubit permutations can further reduce up to 56% in CNOT count and 46% in circuit depth. In the case of optimally mapped circuits under layout restrictions, we observe a reduction up to 17% CNOT count and 19% CNOT depth. |
| title | Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation |
| topic | Quantum Physics Artificial Intelligence |
| url | https://arxiv.org/abs/2408.04349 |