Description
Machine Learning and Quantum Computing.
Chair: Elliot Fox
The Variational Quantum Eigensolver algorithm (VQE) offers a potential near-term implementation of state preparation on a quantum computer. A significant barrier in the current hardware landscape is the occurence of noise, and full fault tolerance through quantum error correction is not currently feasible. Thus, it is important to consider possible quantum error mitigation techniques and their...
The work of Sir David Cox and Halbert White is dedicated to the poverty of Maximum Likelihood fits under model misspecification, including poor data quality, as well as the necessary remedial, complex regularization. A literature on an alternative to Maximum Likelihood, Maximum Mean Discrepancy (MMD), has developed over the last seven decades. Recent contributions mathematically prove MMD’s...
