Heterotic Computing

Viv Kendon; Angelika Anne-Marie Sebald; Susan Stepney; Matthias Wolfgang Bechmann; Peter Hines; Robert C. Wagner; Cristian S. Calude; Jarkko Kari; Ion Petre; Grzegorz Rozenberg

doi:10.1007/978-3-642-21341-0_16

Heterotic Computing

Viv Kendon, Angelika Anne-Marie Sebald, Susan Stepney, Matthias Wolfgang Bechmann, Peter Hines, Robert C. Wagner, Cristian S. Calude, Jarkko Kari, Ion Petre, Grzegorz Rozenberg

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Unconventional Computation
Subtitle of host publication	10th International Conference, UC 2011, Turku, Finland, June 6-10, 2011. Proceedings
Publisher	Springer
Pages	113-124
Number of pages	12
Volume	6714
ISBN (Electronic)	978-3-642-21341-0
ISBN (Print)	978-3-642-21340-3
DOIs	https://doi.org/10.1007/978-3-642-21341-0_16
Publication status	Published - 2011

Access to Document

10.1007/978-3-642-21341-0_16

http://link.springer.com/chapter/10.1007%2F978-3-642-21341-0_16

Cite this

@inproceedings{a5d37a6221944a72bc03f8c9c09d481f,

title = "Heterotic Computing",

abstract = "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.",

author = "Viv Kendon and Sebald, {Angelika Anne-Marie} and Susan Stepney and Bechmann, {Matthias Wolfgang} and Peter Hines and Wagner, {Robert C.} and Calude, {Cristian S.} and Jarkko Kari and Ion Petre and Grzegorz Rozenberg",

year = "2011",

doi = "10.1007/978-3-642-21341-0_16",

language = "English",

isbn = "978-3-642-21340-3",

volume = "6714",

pages = "113--124",

booktitle = "Unconventional Computation",

publisher = "Springer",

address = "Germany",

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TY - GEN

T1 - Heterotic Computing

AU - Kendon, Viv

AU - Sebald, Angelika Anne-Marie

AU - Stepney, Susan

AU - Bechmann, Matthias Wolfgang

AU - Hines, Peter

AU - Wagner, Robert C.

AU - Calude, Cristian S.

AU - Kari, Jarkko

AU - Petre, Ion

AU - Rozenberg, Grzegorz

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

U2 - 10.1007/978-3-642-21341-0_16

DO - 10.1007/978-3-642-21341-0_16

M3 - Conference contribution

SN - 978-3-642-21340-3

VL - 6714

SP - 113

EP - 124

BT - Unconventional Computation

PB - Springer

ER -