mlsanityData to 7 Oct 2026

Optimal Layout Synthesis for Quantum Circuits as Classical Planning (full version)

arXiv 2304.12014 ↗First posted 24 Apr 2023quant-ph cs.AIcited by 7

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Abstract (arXiv)

In Layout Synthesis, the logical qubits of a quantum circuit are mapped to the physical qubits of a given quantum hardware platform, taking into account the connectivity of physical qubits. This involves inserting SWAP gates before an operation is applied on distant qubits. Optimal Layout Synthesis is crucial for practical Quantum Computing on current error-prone hardware: Minimizing the number of SWAP gates directly mitigates the error rates when running quantum circuits. In recent years, several approaches have been proposed for minimizing the required SWAP insertions. The proposed exact approaches can only scale to a small number of qubits. Proving that a number of swap insertions is optimal is much harder than producing near optimal mappings. In this paper, we provide two encodings for Optimal Layout Synthesis as a classical planning problem. We use optimal classical planners to synthesize the optimal layout for a standard set of benchmarks. Our results show the scalability of our approach compared to previous leading approaches. We can optimally map circuits with 9 qubits onto a 14 qubit platform, which could not be handled before by exact methods.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 7 of its 40 references that are in the map. First posted on arXiv 24 Apr 2023.

Builds on

7 of 40 references.

References · 7

  1. 2022Qubit Mapping and Routing via MaxSATcited by 8
  2. 2020Optimality Study of Existing Quantum Computing Layout Synthesis Toolscited by 7
  3. 2020Optimal Layout Synthesis for Quantum Computingcited by 6
  4. 2018Comparing and Integrating Constraint Programming and Temporal Planning for Quantum Circuit Compilationcited by 5
  5. 2020A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Eracited by 5
  6. 2021Classical Planning as QBF without Grounding (extended version)cited by 5
  7. 2020Planning for Compilation of a Quantum Algorithm for Graph Coloringcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 3; 2026: 1.

7 papers.