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pro vyhledávání: '"Marshall, Simon C."'
We define and study a variant of QMA (Quantum Merlin Arthur) in which Arthur can make multiple non-collapsing measurements to Merlin's witness state, in addition to ordinary collapsing measurements. By analogy to the class PDQP defined by Aaronson, B
Externí odkaz:
http://arxiv.org/abs/2403.02543
Autor:
Marshall, Simon C., Kirchner, Jan H.
Despite substantial efforts, neural network interpretability remains an elusive goal, with previous research failing to provide succinct explanations of most single neurons' impact on the network output. This limitation is due to the polysemantic nat
Externí odkaz:
http://arxiv.org/abs/2401.17975
Publikováno v:
Nature Communications 15, 5676 (2024)
Quantum machine learning is often highlighted as one of the most promising practical applications for which quantum computers could provide a computational advantage. However, a major obstacle to the widespread use of quantum machine learning models
Externí odkaz:
http://arxiv.org/abs/2306.00061
Small numbers of qubits are one of the primary constraints on the near-term deployment of advantageous quantum computing. To mitigate this constraint, techniques have been developed to break up a large quantum computation into smaller computations. W
Externí odkaz:
http://arxiv.org/abs/2303.13422
Publikováno v:
Quantum 7, 1078 (2023)
Quantum computers hold great promise to enhance machine learning, but their current qubit counts restrict the realisation of this promise. In an attempt to placate this limitation techniques can be applied for evaluating a quantum circuit using a mac
Externí odkaz:
http://arxiv.org/abs/2203.13739
With the advent of real-world quantum computing, the idea that parametrized quantum computations can be used as hypothesis families in a quantum-classical machine learning system is gaining increasing traction. Such hybrid systems have already shown
Externí odkaz:
http://arxiv.org/abs/2103.05577
Autor:
Jerbi S; Institute for Theoretical Physics, University of Innsbruck, Innsbruck, Austria. sofiene.jerbi@fu-berlin.de.; Dahlem Center for Complex Quantum Systems, Freie Universität Berlin, Berlin, Germany. sofiene.jerbi@fu-berlin.de., Gyurik C; applied Quantum algorithms (aQa), Leiden University, Leiden, The Netherlands., Marshall SC; applied Quantum algorithms (aQa), Leiden University, Leiden, The Netherlands., Molteni R; applied Quantum algorithms (aQa), Leiden University, Leiden, The Netherlands., Dunjko V; applied Quantum algorithms (aQa), Leiden University, Leiden, The Netherlands.
Publikováno v:
Nature communications [Nat Commun] 2024 Jul 06; Vol. 15 (1), pp. 5676. Date of Electronic Publication: 2024 Jul 06.