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Robust multi-mode superconducting qubit designed with evolutionary algorithms

Autor: García-Azorín, P., Cárdenas-López, F. A., Huber, G. B. P., Romero, G., Werninghaus, M., Motzoi, F., Filipp, S., Sanz, M.

Multi-mode superconducting circuits offer a promising platform for engineering robust systems for quantum computation. Previous studies have shown that single-mode devices cannot simultaneously exhibit resilience against multiple decoherence sources

Externí odkaz: http://arxiv.org/abs/2407.18895

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Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic

Autor: de Andoin, M. Garcia, Bottarelli, A., Schmitt, S., Oregi, I., Hauke, P., Sanz, M.

Publikováno v: 2023 IEEE 26th International Conference on Intelligent Transportation Systems, pp. 5318-5323

Combinatorial optimization problems have attracted much interest in the quantum computing community in the recent years as a potential testbed to showcase quantum advantage. In this paper, we show how to exploit multilevel carriers of quantum informa

Externí odkaz: http://arxiv.org/abs/2306.04414

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Resilient superconducting-element design with genetic algorithms

Autor: Cárdenas-López, F. A., Retamal, J. C., Chen, Xi, Romero, G., Sanz, M.

We present superconducting quantum circuits which exhibit atomic energy spectrum and selection rules as ladder and lambda three-level configurations designed by means of genetic algorithms. These heuristic optimization techniques are employed for ada

Externí odkaz: http://arxiv.org/abs/2302.01837

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