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Synergy Between Quantum Circuits and Tensor Networks - IPAM at UCLA

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Quantum Computing Courses Machine Learning Courses Materials Science Courses Quantum Chemistry Courses Tensor Networks Courses

Course Description

Overview

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Explore a 47-minute conference talk presented by Jacob Miller of Zapata Computing at IPAM's Many-body Quantum Systems via Classical and Quantum Computation Workshop. Delve into the synergistic approach addressing key challenges in parametrized quantum circuits (PQCs), including barren plateaus in optimization landscapes and the difficulty of surpassing classical algorithms. Discover how this framework utilizes classical resources to compute tensor network solutions, which are then converted into approximating PQCs for further quantum improvement. Gain insights into how this method mitigates barren plateaus and scales with increased classical computing power. Understand the potential of classical simulation methods as a guide for achieving practical quantum advantage in materials science, quantum chemistry, and machine learning applications.

Syllabus

Jacob Miller - Synergy Between Quantum Circuits and Tensor Networks - IPAM at UCLA


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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