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pro vyhledávání: '"Cattelan, Michele"'
One of the main bottlenecks in solving combinatorial optimization problems with quantum annealers is the qubit connectivity in the hardware. A possible solution for larger connectivty is minor embedding. This techniques makes the geometrical properti
Externí odkaz:
http://arxiv.org/abs/2405.14746
Autor:
Cattelan, Michele, Yarkoni, Sheir
We present a method to split quantum circuits of variational quantum algorithms (VQAs) to allow for parallel training and execution, that maximally exploits the limited number of qubits in hardware to solve large problem instances. We apply this spec
Externí odkaz:
http://arxiv.org/abs/2304.03037
Autor:
Cattelan, Michele, Yarkoni, Sheir
Many emerging commercial services are based on the sharing or pooling of resources for common use with the aim of reducing costs. Businesses such as delivery-, mobility-, or transport-as-a-service have become standard in many parts of the world, fulf
Externí odkaz:
http://arxiv.org/abs/2212.04894
Variational quantum algorithms are the leading candidate for advantage on near-term quantum hardware. When training a parametrized quantum circuit in this setting to solve a specific problem, the choice of ansatz is one of the most important factors
Externí odkaz:
http://arxiv.org/abs/2205.06109
Autor:
Cattelan, Michele1,2 Michele.Cattelan@student.uibk.ac.at, Yarkoni, Sheir1
Publikováno v:
Scientific Reports. 8/26/2024, Vol. 14 Issue 1, p1-9. 9p.
Akademický článek
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