-
collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
-
., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity
-
contribute to the collaborative TQT research community. Principal Investigator: Christine Muschik Research Area: Theoretical quantum optics Relevant Fields: Quantum Networks, Quantum Simulations Required
-
. The projects may also include to tackle benchmarking problems such as SAT, image processing, graph theories, boson/fermion sampling by applying classical machine/deep learning, neural network techniques and