Circuit Transformations for Quantum Architectures
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Abstract (arXiv)
Quantum computer architectures impose restrictions on qubit interactions. We propose efficient circuit transformations that modify a given quantum circuit to fit an architecture, allowing for any initial and final mapping of circuit qubits to architecture qubits. To achieve this, we first consider the qubit movement subproblem and use the routing via matchings framework to prove tighter bounds on parallel routing. In practice, we only need to perform partial permutations, so we generalize routing via matchings to that setting. We give new routing procedures for common architecture graphs and for the generalized hierarchical product of graphs, which produces subgraphs of the Cartesian product. Secondly, for serial routing, we consider the token swapping framework and extend a 4-approximation algorithm for general graphs to support partial permutations. We apply these routing procedures to give several circuit transformations, using various heuristic qubit placement subroutines. We implement these transformations in software and compare their performance for large quantum circuits on grid and modular architectures, identifying strategies that work well in practice.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 1; 2024: 0; 2025: 3.
6 papers.
- 2021Qubit Routing using Graph Neural Network aided Monte Carlo Tree Searchcited by 9
- 2023Challenges for Reinforcement Learning in Quantum Circuit Designcited by 9
- 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture searchcited by 6
- 2025Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogatescited by 3
- 2021Computing Graph Edit Distance with Algorithms on Quantum Devicescited by 0
- 2025AI Methods for Permutation Circuit Synthesis Across Generic Topologiescited by 0
- 2025Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates10 Dec 2025
- 2025AI Methods for Permutation Circuit Synthesis Across Generic Topologies19 Sep 2025
- 2025TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search14 May 2025
- 2023Challenges for Reinforcement Learning in Quantum Circuit Design18 Dec 2023
- 2021Computing Graph Edit Distance with Algorithms on Quantum Devices19 Nov 2021
- 2021Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search1 Apr 2021