A New Optimization Model for Multiple-Control Toffoli Quantum Circuit Design
<|reference_start|>A New Optimization Model for Multiple-Control Toffoli Quantum Circuit Design: As quantum technology is advancing, the efficient design of quantum circuits has become an important area of research. This paper provides an introduction to the MCT quantum circuit design problem for reversible Boolean functions without assuming a prior background in quantum computing. While this is a well-studied problem, optimization models that minimize the true objective have only been explored recently. This paper introduces a new optimization model and symmetry-breaking constraints that improve solving time by up to two orders of magnitude compared to earlier work when a Constraint Programming solver is used. Experiments with up to seven qubits and using up to 15 quantum gates result in several new best-known circuits, obtained by any method, for well-known benchmarks. Finally, an extensive comparison with other approaches shows that optimization models may require more time but can provide superior circuits with optimality guarantees.<|reference_end|>
@article{jung2024a,
    title={A New Optimization Model for Multiple-Control Toffoli Quantum Circuit
  Design},
    author={Jihye Jung, Kevin Dalmeijer, Pascal Van Hentenryck},
    journal={arXiv preprint arXiv:2404.14384},
    year={2024},
    doi={10.4230/LIPIcs.CP.2024.16},
    archivePrefix={arXiv},
    eprint={2404.14384},
    primaryClass={math.OC cs.ET quant-ph}
}