CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem
A quantum compiler is a critical piece in the quantum computing pipeline since it allows an abstract quantum circuit to be run on a physical quantum computer. One extremely important subproblem in quantum compilation is the generation of a logical to physical qubit mapping. Typically in quantum compilers this step is either implemented as a random or a heuristic based assignment that aims to minimize additional (SWAP) gate overhead in the quantum circuit. In this paper, we present an alternative approach to solving the qubit mapping problem. Specifically, we formulate the qubit mapping problem with a combinatorial optimization (CO) objective. We then present a method to find a solution to...
| Authors | Ankit Kulshrestha, Xiaoyuan Liu |
|---|---|
| Primary category | quant-ph |
| Published | 13 May 2026 |
| Last updated at source | 13 May 2026 |
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