Virtual Workshop: In response to COVID-19, all participants will attend this workshop virtually via Zoom. Workshop registrants will receive the Zoom link a few days prior to the workshop, along with instructions on how to participate. The video of the recorded sessions will be made available on IPAM website.
Workshop Overview: 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.
Hybrid Workshop: While this workshop is offered in-person, participants can also register and attend talks virtually. Register here.
(Massachusetts Institute of Technology)
Lin Lin (University of California, Berkeley (UC Berkeley))
Thomas Vidick (California Institute of Technology)
Nathan Wiebe (University of Toronto)