Graphical Reasoning in Compact Closed Categories for Quantum Computation
| dc.creator | Dixon, Lucas | |
| dc.creator | Duncan, Ross | |
| dc.date | 2009-02-03 | |
| dc.date.accessioned | 2026-07-07T12:37:18Z | |
| dc.date.available | 2026-07-07T12:37:18Z | |
| dc.description | Compact closed categories provide a foundational formalism for a variety of important domains, including quantum computation. These categories have a natural visualisation as a form of graphs. We present a formalism for equational reasoning about such graphs and develop this into a generic proof system with a fixed logical kernel for equational reasoning about compact closed categories. Automating this reasoning process is motivated by the slow and error prone nature of manual graph manipulation. A salient feature of our system is that it provides a formal and declarative account of derived results that can include `ellipses'-style notation. We illustrate the framework by instantiating it for a graphical language of quantum computation and show how this can be used to perform symbolic computation. | |
| dc.description | 21 pages, 9 figures. This is the journal version of the paper published at AISC | |
| dc.identifier | https://arxiv.org/abs/0902.0514 | |
| dc.identifier | http://arxiv.org/abs/0902.0514 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/218396 | |
| dc.subject | Symbolic Computation | |
| dc.subject | Artificial Intelligence | |
| dc.title | Graphical Reasoning in Compact Closed Categories for Quantum Computation | |
| dc.type | text |