2013
DOI: 10.1103/physrevlett.111.170502
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Quantum Control in the Cs6S1/2Ground Manifold Using Radio-Frequency and Microwave Magnetic Fields

Abstract: We implement arbitrary maps between pure states in the 16-dimensional Hilbert space associated with the ground electronic manifold of ^{133}Cs. This is accomplished by driving atoms with phase modulated radio-frequency and microwave fields, using modulation waveforms found via numerical optimization and designed to work robustly in the presence of imperfections. We evaluate the performance of a sample of randomly chosen state maps by randomized benchmarking, obtaining an average fidelity >99%. Our protocol adv… Show more

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Cited by 58 publications
(68 citation statements)
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“…On average, for large samples of randomly chosen transformations, we achieve fidelities from 0.982(2) for unitary maps to 0.995(1) for state maps (errors are one standard deviation). These results represent a significant advance in control complexity and fidelity compared to our prior work on state-to-state maps [13], and to stateof-the art for other systems with similar-sized Hilbert spaces [11,14]. Furthermore, given that the optimal control paradigm applies to any physical platform regardless of specifics, our work provides a useful template for similar advances elsewhere.…”
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confidence: 74%
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“…On average, for large samples of randomly chosen transformations, we achieve fidelities from 0.982(2) for unitary maps to 0.995(1) for state maps (errors are one standard deviation). These results represent a significant advance in control complexity and fidelity compared to our prior work on state-to-state maps [13], and to stateof-the art for other systems with similar-sized Hilbert spaces [11,14]. Furthermore, given that the optimal control paradigm applies to any physical platform regardless of specifics, our work provides a useful template for similar advances elsewhere.…”
mentioning
confidence: 74%
“…A similar approach might suffice for robust control of many other well behaved physical systems. In more challenging scenarios, our experiments on state maps [13] and our numerical exploration of waveform design for more complex tasks show that robust control can be extended to additional inhomogeneous parameters. One can also compensate for larger inhomogeneous bandwidths than done here.…”
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confidence: 99%
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