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Efficient unstructured search implementation on current ion-trap quantum processors

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arxiv 2010.03841 v1 pith:DVFEP3BU submitted 2020-10-08 quant-ph

classification quant-ph
keywords quantumsearchunstructuredclassicalnumberoraclequbitresults
verification ladder T0 review T1 audit T2 compute T3 formal
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So far, only the results on 3 qubit spaces (both on superconducting and ion-trap realisations of quantum processors) have beaten the classical unstructured search in the expected number of oracle calls using optimal protocols in both settings. We present experimental results on running unstructured search in spaces defined by 4, 5 and 6 qubits on ion-trapped quantum processor. Our best circuits obtained respectively 66\%, 26\% and 6\% average probability of measuring the marked element. In the case of 4 and 5 qubit spaces we obtained fewer expected number of oracle calls required to find a marked element than any classical approach. Viability of the theoretical result by Grover at these qubit counts is, to authors' knowledge demonstrated experimentally for the first time. Also at 6 qubits, a circuit using a single oracle call returned a measured probability of success exceeding any possible classical approach. These results were achieved using a variety of unstructured search algorithms in conjunction with recent developments in reducing the number of entangling gates. The latter are currently considered to be a dominating source of errors in quantum computations. Some of these improvements have been made possible by using mid-circuit measurements. To our knowledge the latter feature is currently available only on the H0 quantum processor we run on.

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  1. Quantum mechanics can find a needle in a haystack every time

    quant-ph 2025-06 conditional novelty 6.0 of 10

    A deterministic variant of Grover's search algorithm was demonstrated on photonic integrated circuits, achieving a 99.77% average success probability for a single marked element across all database sizes from 4 to 10.

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