Abstract
We provide a simple framework for the synthesis of quantum circuits based on a numerical optimization algorithm. This algorithm is used in the context of the trapped-ions technology. We derive theoretical lower bounds for the number of quantum gates required to implement any quantum algorithm. Then we present numerical experiments with random quantum operators where we compute the optimal parameters of the circuits and we illustrate the correctness of the theoretical lower bounds. We finally discuss the scalability of the method with the number of qubits.
Author supplied keywords
Cite
CITATION STYLE
Goubault de Brugière, T., Baboulin, M., Valiron, B., & Allouche, C. (2019). Synthesizing Quantum Circuits via Numerical Optimization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11537 LNCS, pp. 3–16). Springer Verlag. https://doi.org/10.1007/978-3-030-22741-8_1
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
