chair: Panagiotis Spentzouris
Dr Patrick Dreher (NC State University)
9/14/18, 10:45 AM
This is the first of two talks on the IBM-Q quantum computing systems. The presentation will briefly summarize the concept of an IBM-Q Hub and the preparations at NC State for implementation of the only university-based IBM-Q Hub in the Americas. There will be a brief discussion of the role that the Hub will play in forming research partnerships with industry and the preparations for...
Dr Antonio Mezzacapo (IBM)
9/14/18, 11:25 AM
In this talk I will review methods for simulating fermionic systems on quantum computers, present ideas on how quantum resources can be optimized, and how to deal with noise rates in current quantum processors. I will then demonstrate the capability of the IBM open-access software Qiskit Aqua, a full-stack quantum computing framework.
Mr Guillaume Verdon (Institute for Quantum Computing)
9/14/18, 12:05 PM
In recent months, the field of Quantum Machine Learning (QML) has had numerous advances and a rapid growth of interest from academia and industry alike. Recent works have focused on a particular class of QML algorithms, the so-called quantum variational algorithms (often called quantum neural networks), where an optimization over a set of parametrized quantum circuit ansatze is performed...