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arxiv: quant-ph/0511069 · v7 · submitted 2005-11-08 · 🪐 quant-ph

Simulating quantum computation by contracting tensor networks

classification 🪐 quant-ph
keywords quantumgraphcomputationphysicalgatesimplementationssimulatedtreewidth
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The treewidth of a graph is a useful combinatorial measure of how close the graph is to a tree. We prove that a quantum circuit with $T$ gates whose underlying graph has treewidth $d$ can be simulated deterministically in $T^{O(1)}\exp[O(d)]$ time, which, in particular, is polynomial in $T$ if $d=O(\log T)$. Among many implications, we show efficient simulations for log-depth circuits whose gates apply to nearby qubits only, a natural constraint satisfied by most physical implementations. We also show that one-way quantum computation of Raussendorf and Briegel (Physical Review Letters, 86:5188--5191, 2001), a universal quantum computation scheme with promising physical implementations, can be efficiently simulated by a randomized algorithm if its quantum resource is derived from a small-treewidth graph.

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  1. Simulating quantum circuits with a neural statebank

    quant-ph 2026-06 unverdicted novelty 6.0

    A compact neural statebank based on autoregressive Transformers simulates 34-qubit quantum circuits with ~0.01 infidelity using 0.3 million parameters, outperforming tested approximate simulators.