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University of Cambridge > Talks.cam > CQIF Seminar > Too Good to be True? Precisely! The Real Cost of Non-Standard Computation
Too Good to be True? Precisely! The Real Cost of Non-Standard ComputationAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Paul Skrzypczyk. Certain (unconventional, non-Turing) computers give the illusion of efficiency, whilst being fundamentally impracticable. The illusion stems from the computers’ polynomial time and space complexity, the impracticability from their exponential complexity with respect to computational resources other than time and space (precision, for example, is such a resource). From previous research, we recap a paradigm- and resource-independent framework of computational complexity that dispels this illusion. From immanent research, we mention an application of the framework to Shor’s algorithm (the question here is ‘what is the precision complexity of Shor’s algorithm?’). And from proposed research, we describe an extension of the framework from complexity-theoretic to cryptographic concerns. This talk is part of the CQIF Seminar series. This talk is included in these lists:
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