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pro vyhledávání: '"Krol, A. M."'
In this paper, we use open-source tools to perform quantum resource estimation to assess the requirements for industry-relevant quantum computation. Our analysis uses the problem of industrial shift scheduling in manufacturing and the Quantum Industr
Externí odkaz:
http://arxiv.org/abs/2408.02587
Autor:
Krol, Anna M., Al-Ars, Zaid
This paper proposes a new optimized quantum block-ZXZ decomposition method [7,8,10] that results in more optimal quantum circuits than the quantum Shannon decomposition (QSD)[27], which was introduced in 2006 by Shende et al. The decomposition is app
Externí odkaz:
http://arxiv.org/abs/2403.13692
Publikováno v:
2023 IEEE International Conference on Quantum Computing and Engineering (QCE), Bellevue, WA, USA, 2023, pp. 103-111
Near term quantum devices have the potential to outperform classical computing through the use of hybrid classical-quantum algorithms such as Variational Quantum Eigensolvers. These iterative algorithms use a classical optimiser to update a parameter
Externí odkaz:
http://arxiv.org/abs/2208.07683
Autor:
Asad, Md Abdullah, Rashwan, Tarek L., Molnar, Ian L., Behazin, Mehran, Keech, Peter G., Krol, Magdalena M.
Publikováno v:
In Results in Engineering December 2024 24
Autor:
Ashmore, Nicholas A., Krol, Magdalena M., Gilfillan, Stuart M.V., Van De Ven, Cole J.C., Mumford, Kevin G., Molnar, Ian L.
Publikováno v:
In Science of the Total Environment 1 December 2024 954
Autor:
Hellwig, Amanda F., Wroblewski, Kelly L., Krol, Kathleen M., Connelly, Jessica J., Allen, Joseph P.
Publikováno v:
In Psychoneuroendocrinology October 2024 168
Publikováno v:
Appl. Sci. 2022, 12(2), 759
Unitary decomposition is a widely used method to map quantum algorithms to an arbitrary set of quantum gates. Efficient implementation of this decomposition allows for translation of bigger unitary gates into elementary quantum operations, which is k
Externí odkaz:
http://arxiv.org/abs/2101.02993
Autor:
Khammassi, N., Ashraf, I., Someren, J. v., Nane, R., Krol, A. M., Rol, M. A., Lao, L., Bertels, K., Almudever, C. G.
With the potential of quantum algorithms to solve intractable classical problems, quantum computing is rapidly evolving and more algorithms are being developed and optimized. Expressing these quantum algorithms using a high-level language and making
Externí odkaz:
http://arxiv.org/abs/2005.13283
Akademický článek
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Autor:
Marzoratti, Analia, Liu, Megan E., Krol, Kathleen M., Sjobeck, Gus R., Lipscomb, Daniel J., Hofkens, Tara L., Boker, Steven M., Pelphrey, Kevin A., Connelly, Jessica J., Evans, Tanya M.
Publikováno v:
In Developmental Cognitive Neuroscience October 2023 63