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pro vyhledávání: '"WOLF, MARK"'
This paper presents a novel approach to quantum architecture search by integrating the techniques of ZX-calculus with Genetic Programming (GP) to optimize the structure of parameterized quantum circuits employed in Quantum Machine Learning (QML). Rec
Externí odkaz:
http://arxiv.org/abs/2406.01095
Publikováno v:
2023 IEEE International Conference on Quantum Computing and Engineering (QCE23)
Classical Monte Carlo algorithms can theoretically be sped up on a quantum computer by employing amplitude estimation (AE). To realize this, an efficient implementation of state-dependent functions is crucial. We develop a straightforward approach ba
Externí odkaz:
http://arxiv.org/abs/2304.08793
Autor:
Wolf, Mark J. P.
Publikováno v:
Digarec Series, 06 (2011), S. 018 - 049
Space is understood best through movement, and complex spaces require not only movement but navigation. The theorization of navigable space requires a conceptual representation of space which is adaptable to the great malleability of video game space
Externí odkaz:
http://opus.kobv.de/ubp/volltexte/2011/4980/
The sixth volume of the DIGAREC Series holds the contributions to the DIGAREC Keynote-Lectures given at the University of Potsdam in the winter semester 2009/10. With contributions by Mark J.P. Wolf (Concordia University Wisconsin), Espen Aarseth (Ce
Externí odkaz:
http://opus.kobv.de/ubp/volltexte/2011/4978/