https://ubc.zoom.us/j/66879995529?pwd=dHpQb25LSGVZK3ozY243em5tenRWQT09
Meeting ID: 668 7999 5529
Passcode: 113399

Abstract: Quantum computation tantalizing promises efficient solutions to a broad range of classically-hard materials and chemistry simulation problems of interest to both basic science and practical applications. However, nascent quantum processors are severely limited in both memory and accuracy, and remain a long way from surpassing state-of-the-art classical computational methods. In this talk, I will review recent progress in bridging this gap by leveraging efficient quantum data compression afforded by tensor network representations, along with opportunistic midcircuit qubit reset and re-use in order to simulate large-scale models of quantum materials with relatively few qubits. I will highlight recent experimental implementations of quantum tensor network algorithms for simulating entangled ground-states and non-equilibrium dynamics of correlated spins and electrons on a trapped ion quantum processor.

Bio: Andrew Potter is an assistant professor in the physics and astronomy department at UBC, and SBQMI principle investigator, working on theoretical problems at the intersection of quantum matter, dynamics, information, and computing. Before joining UBC/SBQMI obtained his PhD from MIT, was a Gordon and Betty Moore foundation postdoctoral fellow at UC Berkeley, an assistant professor of physics at the University of Texas at Austin, and a principle theoretical physicist at Honeywell | Quantum Solutions.

https://qmi.ubc.ca/news/new-investigator-meet-andrew-potter/