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Optimal Layout-Aware CNOT Circuit Synthesis with Qubit Permutation

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arxiv 2408.04349 v1 pith:WF5NL27Z submitted 2024-08-08 quant-ph cs.AI

classification quant-phcs.AI
keywords cnotcircuitcountdepthoptimizationqubitallowingcircuits
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Noise-Aware Synthesis of Quantum LDPC Encoder Circuits via Two-Sided Hamming Descent

    quant-ph 2026-07 conditional novelty 6.0 of 10

    Two-sided Hamming descent plus noise-aware routing and live-range scheduling cuts CSS LDPC encoder CNOT counts by 53.8% aggregate and improves preparation fidelity under circuit-level noise.

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