Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Barthe, Alice"'
We introduce a framework for simulating, on an $(n+1)$-qubit quantum computer, the action of a Gaussian Bosonic (GB) circuit on a state over $2^n$ modes. Specifically, we encode the initial bosonic state's expectation values over quadrature operators
Externí odkaz:
http://arxiv.org/abs/2407.06290
Parameterized quantum circuits have been extensively used as the basis for machine learning models in regression, classification, and generative tasks. For supervised learning, their expressivity has been thoroughly investigated and several universal
Externí odkaz:
http://arxiv.org/abs/2402.09848
Autor:
Barthe, Alice, Pérez-Salinas, Adrián
Quantum re-uploading models have been extensively investigated as a form of machine learning within the context of variational quantum algorithms. Their trainability and expressivity are not yet fully understood and are critical to their performance.
Externí odkaz:
http://arxiv.org/abs/2311.10822
Bloch Sphere Binary Trees: A method for the visualization of sets of multi-qubit systems pure states
Understanding the evolution of a multi-qubit quantum system, or elucidating what portion of the Hilbert space is occupied by a quantum dataset becomes increasingly hard with the number of qubits. In this context, the visualisation of sets of multi-qu
Externí odkaz:
http://arxiv.org/abs/2302.02957