We develop a novel distributed coordinate descent algorithm to optimize parametrized gates of variational quantum circuits.
Sep 17, 2023 · We develop a novel distributed coordinate descent algorithm to optimize parametrized gates of variational quantum circuits.
distributed coordinate descent method. III. Our Proposed Method. Our proposed method employs Fraxis encoding and ansatz for variational quantum classification.
Distributed Coordinate Descent Algorithm for Variational Quantum Classification ... Qi, Federated quantum natural gradient descent for quantum federated learning ...
Jul 8, 2024 · This paper introduces a random coordinate descent algorithm as a practical and easy-to-implement alternative to the full gradient descent algorithm.
Missing: Classification. | Show results with:Classification.
Jun 20, 2022 · Conceptually, QUDIO employs a classical central server to coordinate multiple local nodes (i.e., quantum machines or simulators) to accomplish.
Oct 31, 2023 · This paper introduces a random coordinate descent algorithm as a practical and easy-to-implement alternative to the full gradient descent algorithm.
Missing: Distributed | Show results with:Distributed
The variational quantum eigensolver (VQE) [27, 30, 34] is a hybrid quantum-classical algorithm for approximating the minimum eigenvalue of a given Hamiltonian.
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Apr 9, 2021 · We build this quantum state by designing a quantum circuit that behaves similarly to a traditional machine learning algorithm. The quantum ...
Missing: Coordinate Descent
Aug 29, 2022 · In this paper we discuss ways to construct parameterized quantum circuits that can generate both symmetric as well as asymmetric distributions.