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pro vyhledávání: '"Pillay, Anban"'
Autor:
Pellow-Jarman, Aidan, McFarthing, Shane, Sinayskiy, Ilya, Park, Daniel K., Pillay, Anban, Petruccione, Francesco
Publikováno v:
Sci Rep 14, 16011 (2024)
The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions for combinatorial optimiz\-ation problems. The QAOA utilizes a quantum-
Externí odkaz:
http://arxiv.org/abs/2307.10149
Publikováno v:
Quantum Mach. Intell. 6, 45 (2024)
Kernel methods are an important class of techniques in machine learning. To be effective, good feature maps are crucial for mapping non-linearly separable input data into a higher dimensional (feature) space, thus allowing the data to be linearly sep
Externí odkaz:
http://arxiv.org/abs/2302.02980
The quantum asymptotically universal multi-feature (QAUM) encoding architecture was recently introduced and showed improved expressivity and performance in classifying pulsar stars. The circuit uses generalized trainable layers of parameterized singl
Externí odkaz:
http://arxiv.org/abs/2302.02964
Publikováno v:
Quantum Inf Process 22, 258 (2023)
Finding solutions to systems of linear equations is a common prob\-lem in many areas of science and engineering, with much potential for a speedup on quantum devices. While the Harrow-Hassidim-Lloyd (HHL) quantum algorithm yields up to an exponential
Externí odkaz:
http://arxiv.org/abs/2108.11362
Publikováno v:
Quantum Inf Process 20, 202 (2021)
Variational Hybrid Quantum Classical Algorithms (VHQCAs) are a class of quantum algorithms intended to run on noisy intermediate-scale quantum (NISQ) devices. These algorithms employ a parameterized quantum circuit (ansatz) and a quantum-classical fe
Externí odkaz:
http://arxiv.org/abs/2106.08682
Akademický článek
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Publikováno v:
In Social Science & Medicine January 2019 220:362-370
Publikováno v:
Quantum Information Processing; Jun2023, Vol. 22 Issue 6, p1-25, 25p