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Constructing a virtual two-qubit gate by sampling single-qubit operations

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arxiv 1909.07534 v2 pith:E5RXRYKL submitted 2019-09-17 quant-ph

classification quant-ph
keywords operationsquantumnumbersamplingepsilonexpectationgategates
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We show a certain kind of non-local operations can be simulated by sampling a set of local operations with a quasi-probability distribution when the task of a quantum circuit is to evaluate an expectation value of observables. Utilizing the result, we describe a strategy to decompose a two-qubit gate to a sequence of single-qubit operations. Required operations are projective measurement of a qubit in Pauli basis, and $\pi/2$ rotation around x, y, and z axes. The required number of sampling to get an expectation value of a target observable within an error of $\epsilon$ is roughly $O(9^k/\epsilon^2)$, where $k$ is the number of "cuts" performed. The proposed technique enables to perform "virtual" gates between a distant pair of qubits, where there is no direct interaction and thus a number of swap gates are inevitable otherwise. It can also be utilized to improve the simulation of a large quantum computer with a small-sized quantum device, which is an idea put forward by [Peng, et al., arXiv:1904.00102]. This work can enhance the connectivity of qubits on near-term, noisy quantum computers.

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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. Low-Resource Quantum Energy Gap Estimation via Randomization

    quant-ph 2026-01 conditional novelty 6.0 of 10

    TE-PAI randomized time evolution can be embedded into shadow spectroscopy to estimate energy gaps, with an unbiasedness proof and demonstrations on up to 20 qubits.

  2. Perspectives on Utilization of Measurements in Quantum Algorithms

    quant-ph 2025-07 conditional novelty 3.0 of 10

    A survey that categorizes quantum measurement uses into static circuits, dynamic circuits, and challenge-solving techniques, and argues measurements deserve more attention in algorithm design.

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