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Clustering in Hilbert space of a quantum optimization problem

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arxiv 1704.00238 v1 pith:DWYQ2HO7 submitted 2017-04-01 quant-ph cond-mat.dis-nncond-mat.stat-mechcs.CC

Clustering in Hilbert space of a quantum optimization problem

classification quant-ph cond-mat.dis-nncond-mat.stat-mechcs.CC
keywords quantumspaceclusterssatisfiabilityclusteringoptimizationtransitionclassical
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The solution space of many classical optimization problems breaks up into clusters which are extensively distant from one another in the Hamming metric. Here, we show that an analogous quantum clustering phenomenon takes place in the ground state subspace of a certain quantum optimization problem. This involves extending the notion of clustering to Hilbert space, where the classical Hamming distance is not immediately useful. Quantum clusters correspond to macroscopically distinct subspaces of the full quantum ground state space which grow with the system size. We explicitly demonstrate that such clusters arise in the solution space of random quantum satisfiability (3-QSAT) at its satisfiability transition. We estimate both the number of these clusters and their internal entropy. The former are given by the number of hardcore dimer coverings of the core of the interaction graph, while the latter is related to the underconstrained degrees of freedom not touched by the dimers. We additionally provide new numerical evidence suggesting that the 3-QSAT satisfiability transition may coincide with the product satisfiability transition, which would imply the absence of an intermediate entangled satisfiable phase.

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  1. A Slice-Rank Drift Bound for Random Quantum \(k\)-SAT

    quant-ph 2026-07 accept novelty 7.0

    Random quantum k-SAT is unsatisfiable above density α⋆(k)∼2^k/k, improving the prior O(2^k) upper bound by a factor of order k, with α⋆(3)≈1.947.