Publication | Closed Access
Fast Quantum Algorithms for Trace Distance Estimation
19
Citations
56
References
2023
Year
Quantum ScienceEngineeringQuantum ComputingQuantum Optimization AlgorithmQuantum Machine LearningTrace DistanceQuantum InformationQuantum AlgorithmQuantum DevicesComputer ScienceQuantum EntanglementFast Quantum AlgorithmsQuantum Error CorrectionQuantum AlgorithmsEfficient Quantum Algorithms
In quantum information, trace distance is a basic metric of distinguishability between quantum states. However, there is no known efficient approach to estimate the value of trace distance in general. In this paper, we propose efficient quantum algorithms for estimating the trace distance within additive error ε between mixed quantum states of rank <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> . Specifically, we first provide a quantum algorithm using <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> · Õ(1/ε <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) queries to the quantum circuits that prepare the purifications of quantum states. Then, we modify this quantum algorithm to obtain another algorithm using Õ ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> /ε <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> ) samples of quantum states, which can be applied to quantum state certification. These algorithms have query/sample complexities that are independent of the dimension <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> of quantum states, and their time complexities only incur an extra <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">O</i> (log( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> )) factor. In addition, we show that the decision version of low-rank trace distance estimation is BQP-complete.
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