Bayesian optimization with a binomial measurement-noise model finds high-fidelity quantum control solutions with single-shot measurements, drastically cutting the number of experimental runs needed.
Generation and manipulation of Schr\"odinger cat states in Rydberg atom arrays
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abstract
Quantum entanglement involving coherent superpositions of macroscopically distinct states is among the most striking features of quantum theory, but its realization is challenging, since such states are extremely fragile. Using a programmable quantum simulator based on neutral atom arrays with interactions mediated by Rydberg states, we demonstrate the deterministic generation of 'Schr\"odinger cat' states of the Greenberger-Horne-Zeilinger (GHZ) type with up to 20 qubits. Our approach is based on engineering the energy spectrum and using optimal control of the many-body system. We further demonstrate entanglement manipulation by using GHZ states to distribute entanglement to distant sites in the array, establishing important ingredients for quantum information processing and quantum metrology.
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quant-ph 1years
2019 1verdicts
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Optimal quantum control with poor statistics
Bayesian optimization with a binomial measurement-noise model finds high-fidelity quantum control solutions with single-shot measurements, drastically cutting the number of experimental runs needed.