Consistency of Local Density Matrices is QMA-complete

dc.creatorLiu, Yi-Kai
dc.date2006-04-21
dc.date2007-12-10
dc.date.accessioned2026-07-07T08:48:02Z
dc.date.available2026-07-07T08:48:02Z
dc.descriptionSuppose we have an n-qubit system, and we are given a collection of local density matrices rho_1,...,rho_m, where each rho_i describes a subset C_i of the qubits. We say that the rho_i are ``consistent'' if there exists some global state sigma (on all n qubits) that matches each of the rho_i on the subsets C_i. This generalizes the classical notion of the consistency of marginal probability distributions. We show that deciding the consistency of local density matrices is QMA-complete (where QMA is the quantum analogue of NP). This gives an interesting example of a hard problem in QMA. Our proof is somewhat unusual: we give a Turing reduction from Local Hamiltonian, using a convex optimization algorithm by Bertsimas and Vempala, which is based on random sampling. Unlike in the classical case, simple mapping reductions do not seem to work here.
dc.description13 pages; v2 has a better section on numerical precision, and various other improvements; will appear in RANDOM 2006; v3 fixes some long-neglected and possibly confusing typos in the proof of thm. 3
dc.identifierhttps://arxiv.org/abs/quant-ph/0604166
dc.identifierhttp://arxiv.org/abs/quant-ph/0604166
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/143808
dc.subjectQuantum Physics
dc.titleConsistency of Local Density Matrices is QMA-complete
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