Ion trap quantum computing using integrated photonics

Karan Mehta; Alfredo Ricci Vasquez; Carmelo Mordini; Gillenhaal Beck; Maciej Malinowski; Martin Stadler; Chi Zhang; Daniel Kienzler; Jonathan Home

doi:10.1117/12.2655382

17 March 2023 Ion trap quantum computing using integrated photonics

Karan Mehta, Alfredo Ricci Vasquez, Carmelo Mordini, Gillenhaal Beck, Maciej Malinowski, Martin Stadler, Chi Zhang, Daniel Kienzler, Jonathan Home

Author Affiliations +

Proceedings Volume 12424, Integrated Optics: Devices, Materials, and Technologies XXVII; 124240I (2023) https://doi.org/10.1117/12.2655382
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Atomic ions controlled by laser light are among the leading candidates for large scale quantum computing. However operational systems today require vast scaling to reach levels capable of useful computational tasks. The integration of light delivery will be an essential component of this for the trapped-ion approach. I will describe results in which the use of photonics integrated into ion trap chips has allowed us to perform high fidelity two-qubit gates, which are an essential building block for quantum computers. These systems have now been extended to the operation of multiple trap zones, and the creation of novel optical fields for ion trap control while a new generation of chips allowing integration of all required wavelengths as well as optimised light delivery offers further enhancements in performance and scaling.

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Citation Download Citation

Karan Mehta, Alfredo Ricci Vasquez, Carmelo Mordini, Gillenhaal Beck, Maciej Malinowski, Martin Stadler, Chi Zhang, Daniel Kienzler, and Jonathan Home "Ion trap quantum computing using integrated photonics", Proc. SPIE 12424, Integrated Optics: Devices, Materials, and Technologies XXVII, 124240I (17 March 2023); https://doi.org/10.1117/12.2655382

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