Quantum Numerical Linear Algebra

January 24 - 27, 2022


With the rapid development of quantum computers, a number of quantum algorithms have been developed and tested on both superconducting qubits based machines and trapped-ion hardware. The recent development of quantum algorithms has significantly pushed forward the frontier of using quantum computers for performing a wide range of numerical linear algebra tasks, such as solving linear systems, eigenvalue decomposition, singular value decomposition, matrix function evaluation etc. While many quantum algorithms aim at future fault-tolerant quantum architecture, some of such numerical linear algebra algorithms have already demonstrated promise for being implemented on near term quantum devices. This workshop brings together leading experts in quantum numerical linear algebra, to discuss the recent development of quantum algorithms to perform linear algebra tasks for solving challenging problems in science and engineering and for various industrial and technological applications.

This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.

Organizing Committee

Aram Harrow (Massachusetts Institute of Technology)
Lin Lin (University of California, Berkeley (UC Berkeley), Mathematics)
Thomas Vidick (California Institute of Technology)
Nathan Wiebe (University of Toronto)