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Quantum Optimization
Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation
arXiv
Authors: Irfansha Shaik, Jaco van de Pol
Year
2024
Paper ID
64468
Status
Preprint
Abstract Read
~2 min
Abstract Words
112
Citations
N/A
Abstract
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.
Why This Paper Matters
- This paper contributes to the Quantum Optimization research area in the Quantum Articles archive.
- It adds a 2024 reference point for readers tracking recent quantum research.
- CNOT optimization plays a significant role in noise reduction for Quantum Circuits.
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