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Statistics and Data Analysis Seminar

SPEAKER: Kathleen Hamilton

AFFILIATION: ORNL

TITLE: Understanding the loss landscape of variational quantum algorithms

ABSTRACT: Variational training of parameterized quantum circuits (PQCs) underpins many workflows employed on near-term noisy intermediate scale quantum (NISQ) devices.  It is a hybrid quantum-classical approach that minimizes an associated cost function in order to train a parameterized ansatz.  In this talk I will highlight two training workflows, quantum circuit learning and data-driven circuit learning, and discuss how investigating the effect of noise in this hybrid workflow, and visualizing the features of the loss can lead to better understanding of variational quantum algorithms.  

Dial-In Information

https://tennessee.zoom.us/j/96789096568

Thursday, April 22 at 4:30pm to 5:30pm

Virtual Event
Event Type

Lectures & Presentations

Topic

Science, Engineering

Audience

Current Students, Faculty & Staff, Alumni, Prospective Students

Department
Mathematics
Contact Name

Vasileios Maroulas

Contact Email

vmaroula@utk.edu

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