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Ph. D. Larry Hatcher

author

2 activities

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Larry Liebovitch, Ph.D.

Professor Emeritus; Adjunct Research Scholar · City University of New York; Climate School, Columbia University

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Activities & events

Title & Speakers	Event
Machine Learning on Quantum Computers 2025-11-12 · 23:00 Larry Liebovitch, Ph.D. – Professor Emeritus; Adjunct Research Scholar @ City University of New York; Climate School, Columbia University To solve problems in science, engineering, and business, computers were first programmed with the explicit instructions to solve those problems. Now, AI has shown that it is more powerful to first train computers to learn and then give them the data needed to solve a problem. I will review the successes and limitations of machine learning methods being used to train: 1) quantum computers with only Dirac operator gates, 2) hybrid classical-quantum computers with variational quantum circuits, 3) quantum Hopfield computers using equilibrium propagation, a quantum replacement for back propagation, and 4) quantum computer annealers. quantum computing machine learning dirac operator gates hybrid classical-quantum computing variational quantum circuits equilibrium propagation quantum hopfield networks quantum annealing	November 12th, 2025 NYC Quantum Computing In Person Meetup (w/teams option)

Title & Speakers

Event

Machine Learning on Quantum Computers 2025-11-12 · 23:00

Larry Liebovitch, Ph.D. – Professor Emeritus; Adjunct Research Scholar @ City University of New York; Climate School, Columbia University

To solve problems in science, engineering, and business, computers were first programmed with the explicit instructions to solve those problems. Now, AI has shown that it is more powerful to first train computers to learn and then give them the data needed to solve a problem. I will review the successes and limitations of machine learning methods being used to train: 1) quantum computers with only Dirac operator gates, 2) hybrid classical-quantum computers with variational quantum circuits, 3) quantum Hopfield computers using equilibrium propagation, a quantum replacement for back propagation, and 4) quantum computer annealers.

quantum computing machine learning dirac operator gates hybrid classical-quantum computing variational quantum circuits equilibrium propagation quantum hopfield networks quantum annealing

November 12th, 2025 NYC Quantum Computing In Person Meetup (w/teams option)

Showing 1 result