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Classical simulation versus universality in measurement based quantum computation

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

We investigate for which resource states an efficient classical simulation of measurement based quantum computation is possible. We show that the Schmidt--rank width, a measure recently introduced to assess universality of resource states, plays a crucial role in also this context. We relate Schmidt--rank width to the optimal description of states in terms of tree tensor networks and show that an efficient classical simulation of measurement based quantum computation is possible for all states with logarithmically bounded Schmidt--rank width (with respect to the system size). For graph states where the Schmidt--rank width scales in this way, we efficiently construct the optimal tree tensor network descriptions, and provide several examples. We highlight parallels in the efficient description of complex systems in quantum information theory and graph theory.

fields

quant-ph 2

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

The Structure of Circle Graph States

quant-ph · 2026-03-09 · unverdicted · novelty 7.0

Circle graphs are closed under r-local complementation and bipartite circle graph states correspond one-to-one with planar code states whose MBQC is classically simulable.

citing papers explorer

Showing 2 of 2 citing papers.

  • Fun with Graph States: Nonlocal Bell Pairs and the Arf Invariant quant-ph · 2026-06-04 · unverdicted · none · ref 29 · internal anchor

    Graph-state inner products are governed by the F2-rank of the adjacency matrix and the Arf invariant, yielding a nonlocal Bell-pair factorization of the Hilbert space.

  • The Structure of Circle Graph States quant-ph · 2026-03-09 · unverdicted · none · ref 17 · internal anchor

    Circle graphs are closed under r-local complementation and bipartite circle graph states correspond one-to-one with planar code states whose MBQC is classically simulable.