A Knowledge Compilation Map for Quantum Information

Journal Article (2026)
Author(s)

Lieuwe Vinkhuijzen (Universiteit Leiden)

Tim Coopmans (Universiteit Leiden, TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - QCD/Coopmans Group)

Alfons Laarman (Universiteit Leiden)

Research Group
QCD/Coopmans Group
DOI related publication
https://doi.org/10.1609/aaai.v40i23.39018 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
QCD/Coopmans Group
Journal title
Proceedings of the AAAI Conference on Artificial Intelligence
Issue number
23
Volume number
40
Pages (from-to)
19406-19414
Event
40th AAAI Conference on Artificial Intelligence, AAAI 2026 (2026-01-20 - 2026-01-27), Singapore, Singapore
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Abstract

Despite their widespread use in quantum computing and physics, the relative strengths and weaknesses of Matrix Product States (MPS), Decision Diagrams (DDs), and Restricted Boltzmann Machines (RBMs) remains poorly understood. We analytically compare the succinctness of these quantum state representations and analyze the complexity of key operations on them. To overcome shortcomings of the tractability measure, we introduce ‘rapidity’ conditions that identify when non-canonical representations efficiently simulate each other. Our results reveal that: 1. Most DD variants are redundant with respect to MPS in a strong sense; MPS is more rapid. 2. Only one DD variant, called LIMDD, and RBM have succinctness incomparable to MPS. 3. LIMDD and RBM seem to achieve this by sacrificing tractability of counting queries, as shown by a metatheorem on the conditional hardness of these queries.

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