Non-classical computation has tended to consider only single computational models: neural, analog, quantum, etc. However, combined computational models can both have more computational power, and more natural programming approaches, than such 'pure' models alone. Here we outline a proposed new approach, which we term heterotic computing. We discuss how this might be incorporated in an accessible refinement-based computational framework for combining diverse computational models, and describe a range of physical exemplars (combinations of classical discrete, quantum discrete, classical analog, and quantum analog) that could be used to demonstrate the capability.
@inproceedings(SS-UC11, author = "Viv Kendon and Angelika Sebald and Susan Stepney and Matthias Bechmann and Peter Hines and Robert C. Wagner", title = "Heterotic Computing", pages = "113-124", crossref = "UC11" ) @proceedings(UC11, title = "Unconventional Computation 2011, Turku, Finland, June 2011", booktitle = "Unconventional Computation 2011, Turku, Finland, June 2011", series = "LNCS", volume = 6714, publisher = "Springer", year = 2011 )