可怖
发表于 2025-3-21 16:52:18
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Mawkish
发表于 2025-3-21 21:19:31
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LATHE
发表于 2025-3-22 03:46:23
Quantum Mechanics and Data-Driven Physics,Why quantum machine learning? Quantum mechanics and data-driven physics are similar. We describe their connections by focusing on their mathematical paradigms. We introduce quantum feature maps, quantum kernels, and examples of quantum classifiers. We discuss the basics of kernel methods with coding examples.
occurrence
发表于 2025-3-22 05:19:05
Kernelizing Quantum Mechanics,We show how to use quantum states, as coherent and squeezed states for a kernel machine.
Exploit
发表于 2025-3-22 09:18:53
Qubit Maps,We consider quantum feature mapping in qubit states with entanglement. We introduce tensor notations for qubits in .. We review an experiment with IBM quantum computers with memristors. We deepen the mathematical aspects of quantum feature maps and support vector machines.
Ascribe
发表于 2025-3-22 16:37:50
One-Qubit Transverse-Field Ising Model and Variational Quantum Algorithms,We give a first introduction to combinatorial optimization with the Ising model and its quantum counterpart. We start investigating the basics of the transverse-field Ising model in the case of one qubit. We give an example of a neural network variational ansatz for the ground state.
Myocarditis
发表于 2025-3-22 18:06:17
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冒烟
发表于 2025-3-22 22:46:50
Variational Algorithms, Quantum Approximate Optimization Algorithm, and Neural Network Quantum StatWe describe different variational ansatzes and study entanglement in the ground state of the two-qubit transverse-field Ising model.
Atheroma
发表于 2025-3-23 02:39:49
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冥界三河
发表于 2025-3-23 07:18:20
Gaussian Boson Sampling,We introduce the fundamental models for Gaussian boson sampling and the link with the computation of the Hafnian. We show how to compute and train boson sampling patterns by machine learning.