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Realization of a quantum perceptron gate with trapped ions

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arxiv 2111.08977 v1 pith:FKCHGKKW submitted 2021-11-17 quant-ph

classification quant-ph
keywords perceptronquantumqubittargetchangesgategatesqubits
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We report the implementation of a perceptron quantum gate in an ion-trap quantum computer. In this scheme, a perceptron's target qubit changes its state depending on the interactions with several qubits. The target qubit displays a tunable sigmoid switching behaviour becoming a universal approximator when nested with other percetrons. The procedure consists on the adiabatic ramp-down of a dressing-field applied to the target qubit. We also use two successive perceptron quantum gates to implement a XNOR-gate, where the perceptron qubit changes its state only when the parity of two input qubits is even. The applicability can be generalized to higher-dimensional gates as well as the reconstruction of arbitrary bounded continuous functions of the perceptron observables.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Role of Nonstabilizerness in Quantum Optimization

    quant-ph 2025-05 conditional novelty 6.0 of 10

    QAOA on Sherrington-Kirkpatrick models shows a peak in nonstabilizerness at intermediate depth followed by a decline toward the solution, a magic barrier that also appears in adiabatic quantum annealing.

  2. Quantum Simplicial Neural Networks

    cs.NE 2025-01 conditional novelty 6.0 of 10

    Quantum Simplicial Networks, variational quantum circuits acting on simplicial complexes, outperform classical simplicial neural networks on two synthetic classification benchmarks, per the authors.

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