Algorithmic Theory of Qubit Routing
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Abstract (arXiv)
The qubit routing problem, also known as the swap minimization problem, is a (classical) combinatorial optimization problem that arises in the design of compilers of quantum programs. We study the qubit routing problem from the viewpoint of theoretical computer science, while most of the existing studies investigated the practical aspects. We concentrate on the linear nearest neighbor (LNN) architectures of quantum computers, in which the graph topology is a path. Our results are three-fold. (1) We prove that the qubit routing problem is NP-hard. (2) We give a fixed-parameter algorithm when the number of two-qubit gates is a parameter. (3) We give a polynomial-time algorithm when each qubit is involved in at most one two-qubit gate.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 May 2023.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1; 2026: 2.
4 papers.
- 2023qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilationcited by 5
- 2025Quantum computing and artificial intelligence: status and perspectivescited by 5
- 2026QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learningcited by 0
- 2026Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic Scalingcited by 0
- 2026Position: Quantum Program Generation Must Prioritize Validity Over Probabilistic Scaling15 Jul 2026
- 2026QAP-Router: Tackling Qubit Routing as Dynamic Quadratic Assignment with Reinforcement Learning12 May 2026
- 2025Quantum computing and artificial intelligence: status and perspectives29 May 2025
- 2023qgym: A Gym for Training and Benchmarking RL-Based Quantum Compilation1 Aug 2023