Document Type
Report
Publication Date
12-2019
First Page
1
Last Page
4
Abstract
Quantum computing is one of the most promising techniques for simulating physical systems that cannot be simulated on classical computers[1]. A significant drawback of this approach is the inherent difficulty in designing circuits that can represent these systems on quantum computers. Every quantum circuit is built out of small components called quantum gates. Each of these gates manipulate the quantum system in a specific way. When used in combination, a finite subset of these gates, the set of universal gates, can be used to construct any possible quantum circuit[2].
Recommended Citation
Burns, Jordan; Sung, Yih; and Wight, Colby, "Decomposing the Hamiltonian of Quantum Circuits Using Machine Learning" (2019). Physics Capstone Projects. Paper 80.
https://digitalcommons.usu.edu/phys_capstoneproject/80