Resilient multi-mode superconducting qubit design with evolutionary algorithms
ORAL
Abstract
In this study, we present novel multi-mode qubit architectures designed using evolutionary algorithms that exhibit desirable qubit characteristics, including restricted transitions, improved relaxation and dephasing times, and resilience against fabrication defects. This approach is valuable for identifying configurations that, although lacking the complete protection of symmetry-protected systems, strike a balance between manipulability, construction, and noise protection.
* The Authors acknowledge support from EU FET Open project EPIQUS (899368) and HORIZON-CL4- 2022-QUANTUM01-SGA project 101113946 OpenSuperQPlus100 of the EU Flagship on Quantum Technologies, the Spanish Ramón y Cajal Grant RYC-2020-030503-I, project Grant No. PID2021-125823NA-I00 funded by MCIN/AEI/10.13039/501100011033, UPV/EHU PhD Grant PIF22/235 and by "ERDF A way of making Europe" and "ERDF Invest in your Future", and from the IKUR Strategy under the collaboration agreement between Ikerbasque Foundation and BCAM on behalf of the Department of Education of the Basque Government. This project has also received support from the Spanish Ministry of Economic Affairs and Digital Transformation through the QUANTUM ENIA project call - Quantum Spain, and by the EU through the Recovery, Transformation and Resilience Plan - NextGenerationEU.
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Publication: - Cárdenas-López, F. A., Retamal, J. C., Chen, X., Romero, G., & Sanz, M. (2023). Resilient superconducting-element design with genetic algorithms. arXiv preprint arXiv:2302.01837.
- García-Azorín, P., Cárdenas-López, F. A., Romero, G., Huber, G., Filipp, S., & Sanz, M. Resilient multi-mode superconducting qubit design with evolutionary algorithms. In preparation.
Presenters
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Pablo Garcia Azorin
University of the Basque Country UPV/EHU
Authors
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Pablo Garcia Azorin
University of the Basque Country UPV/EHU
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Francisco Cárdenas López
Forschungszentrum Jülich GmbH
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Guillermo Romero
Univ de Santiago de Chile
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Gerhard B Huber
TU Munich & Walther-Meissner-Institute, Walther-Meißner-Institut & TU Munich, TU Munich & Walther-Meißner-Institut, Walther-Meißner-Institut
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Stefan Filipp
TU Munich & Walther-Meissner-Institute, Walther-Meißner-Institut & TU Munich, TU Munich & Walther-Meißner-Institut, TU Munich & Walther-Meißner-Institute
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Mikel Sanz
University of the Basque Country UPV/EHU, Univ del Pais Vasco