Q2Graph: a modelling tool for measurement-based quantum computing
October 03, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Greg Bowen, Simon Devitt
arXiv ID
2210.00657
Category
quant-ph: Quantum Computing
Cross-listed
cs.DS
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The quantum circuit model is the default for encoding an algorithm intended for a NISQ computer or a quantum computing simulator. A simple graph and through it, a graph state - quantum state physically manifesting an abstract graph structure - is syntactically expressive and tractable. A graph representation is well-suited for algorithms intended for a quantum computing facility founded on measurement-based quantum computing (MBQC) principles. Indeed, the process of creating an algorithm-specific graph can be efficiently realised through classical computing hardware. A graph state is a stabiliser state, which means a graph is a (quantum) intermediate representation at all points of the algorithm-specific graph process. We submit Q2Graph, a software package for designing and testing of simple graphs as algorithms for quantum computing facilities based on MQBC design principles. Q2Graph is a suitable modelling tool for NISQ computing facilities: the user is free to reason about structure or characteristics of its graph-as-algorithm without also having to account for (quantum) errors and their impact upon state.
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