Variational Spin-Squeezing Algorithms on Programmable Quantum Sensors
Arrays of atoms trapped in optical tweezers combine features of programmable analog quantum simulators with atomic quantum sensors. Here we propose variational quantum algorithms, tailored for tweezer arrays as programmable quantum sensors, capable of generating entangled states on demand for precis...
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Veröffentlicht in: | Physical review letters 2019-12, Vol.123 (26), p.260505-260505, Article 260505 |
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creator | Kaubruegger, Raphael Silvi, Pietro Kokail, Christian van Bijnen, Rick Rey, Ana Maria Ye, Jun Kaufman, Adam M Zoller, Peter |
description | Arrays of atoms trapped in optical tweezers combine features of programmable analog quantum simulators with atomic quantum sensors. Here we propose variational quantum algorithms, tailored for tweezer arrays as programmable quantum sensors, capable of generating entangled states on demand for precision metrology. The scheme is designed to generate metrological enhancement by optimizing it in a feedback loop on the quantum device itself, thus preparing the best entangled states given the available quantum resources. We apply our ideas to the generation of spin-squeezed states on Sr atom tweezer arrays, where finite-range interactions are generated through Rydberg dressing. The complexity of experimental variational optimization of our quantum circuits is expected to scale favorably with system size. We numerically show our approach to be robust to noise, and surpassing known protocols. |
doi_str_mv | 10.1103/PhysRevLett.123.260505 |
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source | American Physical Society Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Algorithms Computer simulation Entangled states Feedback loops Optimization Quantum sensors Robustness (mathematics) Sensor arrays Sensors Simulators Squeezed states (quantum theory) |
title | Variational Spin-Squeezing Algorithms on Programmable Quantum Sensors |
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