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Computing quopit Clifford circuit amplitudes by the sum-over-paths technique

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arxiv 1702.03316 v2 pith:NVSOYR4Y submitted 2017-02-10 quant-ph

classification quant-ph
keywords circuitscliffordamplitudesefficientlypathsquantumquopitcircuit
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abstract

By the Gottesman-Knill Theorem, the outcome probabilities of Clifford circuits can be computed efficiently. We present an alternative proof of this result for quopit Clifford circuits (i.e., Clifford circuits on collections of $p$-level systems, where $p$ is an odd prime) using Feynman's sum-over-paths technique, which allows the amplitudes of arbitrary quantum circuits to be expressed in terms of a weighted sum over computational paths. For a general quantum circuit, the sum over paths contains an exponential number of terms, and no efficient classical algorithm is known that can compute the sum. For quopit Clifford circuits, however, we show that the sum over paths takes a special form: it can be expressed as a product of Weil sums with quadratic polynomials, which can be computed efficiently. This provides a method for computing the outcome probabilities and amplitudes of such circuits efficiently, and is an application of the circuit-polynomial correspondence which relates quantum circuits to low-degree polynomials.

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  1. Leveraging Phase Polynomials for Quantum Circuit Optimization

    cs.PL 2025-06 conditional novelty 6.0 of 10

    A quantum circuit optimizer, PhasePoly, co-optimizes phase and output parity matrices and merges phase-polynomial blocks across gate barriers, reducing total gates by 34.9% and CNOT gates by 28.5% on average.

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