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A Quantum Version of Sch\"oning's Algorithm Applied to Quantum 2-SAT

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arxiv 1603.06985 v1 pith:J5GH32WV submitted 2016-03-22 quant-ph cs.CCcs.DS

classification quant-phcs.CCcs.DS
keywords quantumalgorithmhighmarkovoningprocessadditionallyanalogue
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We study a quantum algorithm that consists of a simple quantum Markov process, and we analyze its behavior on restricted versions of Quantum 2-SAT. We prove that the algorithm solves this decision problem with high probability for n qubits, L clauses, and promise gap c in time O(n^2 L^2 c^{-2}). If the Hamiltonian is additionally polynomially gapped, our algorithm efficiently produces a state that has high overlap with the satisfying subspace. The Markov process we study is a quantum analogue of Sch\"oning's probabilistic algorithm for k-SAT.

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Cited by 2 Pith papers

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  1. Optimal schedule of multi-channel quantum Zeno dragging with application to solving the k-SAT problem

    quant-ph 2025-07 conditional novelty 6.0 of 10

    Multi-channel Zeno dragging converges fastest in the weak continuous measurement limit, and optimal control finds schedules that beat linear interpolation.

  2. Training Optimization for Gate-Model Quantum Neural Networks

    quant-ph 2019-09 reject novelty 3.0 of 10

    The paper maps gate-model quantum neural networks into a constraint-machine framework and declares supervised learning and backpropagation optimal, but the proofs rely on textbook results and do not validate the propo...

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