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ExtraFerm: An Extended Matchgate Simulator

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arxiv 2511.12416 v3 pith:JGBYVJMN submitted 2025-11-16 quant-ph

ExtraFerm: An Extended Matchgate Simulator

classification quant-ph
keywords simulatorquantumchemistrysimulatingapproximatecalculationcircuitcircuits
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present and open source Extraferm, a quantum circuit simulator tailored to chemistry applications. More specifically, our simulator can compute the Born-rule probabilities of samples obtained from circuits containing particle number-conserving matchgates and controlled-phase gates. We support both approximate and exact calculation of probabilities, and for approximate probability calculation, our simulator's runtime is exponential only in the magnitudes of the circuit's controlled-phase gate angles. This makes our simulator useful for simulating certain systems that are beyond the reach of conventional state vector methods. We demonstrate our simulator's utility by simulating the local cluster unitary Jastrow (LUCJ) ansatz and integrating it with sample-based quantum diagonalization (SQD) to improve the accuracy of molecular ground-state energy estimates with negligible computational overhead. More generally, we highlight a regime in which our simulator achieves substantially superior latency scaling and exponentially superior memory scaling over a tensor network simulator and a state vector simulator. As an efficient and flexible tool for simulating quantum chemistry circuits, our simulator enables new opportunities for enhancing near-term quantum algorithms in chemistry and related domains.

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Cited by 2 Pith papers

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

  1. Efficient classical simulation of large-scale unitary cluster Jastrow circuits

    quant-ph 2026-07 conditional novelty 7.0

    A one-layer UCJ quantum chemistry circuit can have its energy computed classically in O(N^7) time, so single-layer UCJ circuits cannot provide quantum advantage for energy estimation.

  2. Distribution Complexity of Electronic Structure Simulations on Quantum Supercomputers

    quant-ph 2026-06 unverdicted novelty 5.0

    An algorithm is presented for estimating distribution complexity of electronic structure Hamiltonians, with O(N^3) entanglement estimation per fragment and quadratic/exponential reductions in distribution cost for qua...