Introduces Linear Chain Logic (LCL) and approximate algorithms to model-check spatial and asymptotic properties of periodic MPS families via their induced completely positive maps.
Regular language quantum states
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abstract
We introduce regular language states, a family of quantum many-body states. They are built from a special class of formal languages, called regular, which has been thoroughly studied in the field of computer science. They can be understood as the superposition of all the words in a regular language and encompass physically relevant states such as the GHZ-, W- or Dicke-states. By leveraging the theory of regular languages, we develop a theoretical framework to describe them. First, we express them in terms of matrix product states, providing efficient criteria to recognize them. We then develop a canonical form which allows us to formulate a fundamental theorem for the equivalence of regular language states, including under local unitary operations. We also exploit the theory of tensor networks to find an efficient criterion to determine when regular languages are shift-invariant.
fields
quant-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Model Checking Matrix Product States against Linear Chain Logic
Introduces Linear Chain Logic (LCL) and approximate algorithms to model-check spatial and asymptotic properties of periodic MPS families via their induced completely positive maps.