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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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