WebJan 28, 2024 · Abstract. We propose an efficient method for simultaneously optimizing both the structure and parameter values of quantum circuits with only a small computational overhead. Shallow circuits that use structure optimization perform significantly better than circuits that use parameter updates alone, making this method particularly suitable for ... WebApr 12, 2024 · Variational Quantum Algorithms (VQAs) rely upon the iterative optimization of a parameterized unitary circuit with respect to an objective function. Since quantum machines are noisy and expensive resources, it is imperative to choose a VQA's ansatz appropriately and its initial parameters to be close to optimal.
[2107.14063] Natural parameterized quantum circuit - arXiv.org
WebMar 11, 2024 · To make sure this embedding circuit holds as little expressive power as possible, we embed the classical data into a quantum state using a linear mapping into … WebMar 17, 2024 · Common quantum machine learning pipeline to train a parameterized quantum circuit. The parameterized quantum circuit is composed of three parts: the … can i take my walking stick on a plane
Evaluation of parameterized quantum circuits: on the ... - Springer
WebJan 29, 2024 · An analog and mixed-signal (AMS) circuit that draws on machine learning while using a regression model differs in terms of the design compared to more sophisticated circuit designs. Technology structures that are more advanced than conventional CMOS processes, specifically the fin field-effect transistor (FinFET) and … WebMar 17, 2024 · Training parameterized quantum circuits (PQCs) is a growing research area that has received a boost from the emergence of new hybrid quantum classical algorithms and Quantum Machine Learning (QML) to leverage the power of today’s quantum computers. WebarXiv.org e-Print archive can i take my whole pension pot