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ISAAQ: Ising Machine Assisted Quantum Compiler

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arxiv 2303.02830 v1 pith:TUUSUANJ submitted 2023-03-06 quant-ph

classification quant-ph
keywords isaaqgatesquantumcnotcompilationisingcircuitslogical
verification ladder T0 review T1 audit T2 compute T3 formal
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It is imperative to compile quantum circuits for Noisy Intermediate-Scale Quantum (NISQ) devices because of the limited connectivity of physical qubits and the high error rates of gate operations. One of the most critical steps in quantum circuit compilation is qubit routing, an NP-Hard problem that involves placing and moving logical qubits to minimize compilation overhead. In this study, we propose ISing mAchine Assisted Quantum compiler (ISAAQ) to perform qubit routing with Ising machines, which can efficiently solve Quadratic Unconstrained Binary Optimization (QUBO) problems. ISAAQ accurately estimates the compilation costs by updating itself using previous compilation results, and accelerates qubit routing by solving QUBO problems in parallel with multiple Ising machines. In addition, ISAAQ exploits a cost-reduction method that implements commutative logical Controlled-NOT (CNOT) gates with fewer physical CNOT gates, which is particularly effective for planar devices when implementing original gates. Experimental results on both IBM QX5 and IBM QX20 show that ISAAQ outperforms the heuristic methods available in Qiskit and tket, as well as an existing QUBO method, requiring fewer physical CNOT gates for most benchmark circuits. ISAAQ performs particularly well on large circuits, demonstrating its strong scalability with respect to the number of logical CNOT gates.

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Cited by 2 Pith papers

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

  1. Digital Annealer-Assisted Accuracy-First Quantum Circuit Transpilation with Integrated QUBO Mapping and Routing

    quant-ph 2026-05 unverdicted novelty 6.0 of 10

    Digital Annealer-assisted transpilation reduces CNOT counts by 13.7% on average (up to 57.4%) versus Qiskit on structured circuits, with a full-DA variant outperforming ISAAQ by 23.1%.

  2. Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines

    cond-mat.stat-mech 2025-07 conditional novelty 5.0 of 10

    For fully-connected random Ising models of 240 to 640 spins, solving a spin-reduced subproblem on a quantum annealer improves on preprocessing simulated annealing, and the optimal subproblem size grows with quantum an...

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