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This paper introduces graph rewrite rules to simplify continuous-time quantum walks on dynamic graphs, effectively reducing redundant sequences of time-evolving Hamiltonians while preserving unitary operations. By establishing these simplification rules as transpilation primitives, the work bridges the circuit model and the dynamic graph framework for implementing standard single-qubit gates. These advancements streamline the construction of quantum circuits within the continuous-time paradigm, offering efficiency gains for algorithm design.
Simplification Rules for Continuous-Time Quantum Walks on Dynamic Graphs
arXiv:2609.18463v1 Announce Type: new Abstract: Continuous-time quantum walks (CTQWs) on dynamic graphs realize quantum gates as sequences of time-evolving graph Hamiltonians, but naive constructions produce long sequences with redundancy. Simplification rules, which are graph rewrite rules that shorten a dynamic graph sequence while preserving the unitary it implements, are the CTQW analogue of circuit identities in the gate model. In this work, we give CTQW realizations of the standard single-qubit gates and introduce new graph rewrite rules. We demonstrate the simplification rules through worked circuit reductions and outline their use as transpilation primitives for converting between the circuit model and the dynamic graph framework.
Abstract:Continuous-time quantum walks (CTQWs) on dynamic graphs realize quantum gates as sequences of time-evolving graph Hamiltonians, but naive constructions produce long sequences with redundancy. Simplification rules, which are graph rewrite rules that shorten a dynamic graph sequence while preserving the unitary it implements, are the CTQW analogue of circuit identities in the gate model. In this work, we give CTQW realizations of the standard single-qubit gates and introduce new graph rewrite rules. We demonstrate the simplification rules through worked circuit reductions and outline their use as transpilation primitives for converting between the circuit model and the dynamic graph framework.
arXiv:2609.18463 [quant-ph]
(or arXiv:2609.18463v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2609.18463 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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