Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session T70: Quantum Machine Learning II
11:30 AM–2:30 PM,
Thursday, March 9, 2023
Room: Room 409
Sponsoring
Unit:
DQI
Chair: Ruslan Shayludin, JPMorgan Chase
Abstract: T70.00013 : Elivagar: Resource-efficient Quantum Circuit Architecture Search Guided by Quantum Noise
1:54 PM–2:06 PM
Presenter:
Sashwat S Anagolum
(The Pennsylvania State University)
Authors:
Yunong Shi
(Amazon)
Sashwat S Anagolum
(The Pennsylvania State University)
Collaboration:
The Pennsylvania State University,
Amazon Braket
In this work, we present Elivagar, a resource-efficient, noise-guided Quqntu framework. The design of Elivagar is based on the key observation that a large portion of candidate circuits in the search space can be rejected cheaply by leveraging device noise information. By introducing a device topology-aware, zero-cost-to-compute metric, and 2 easy-to-compute noise-related metrics, Elivagar decouples the high-cost initial training process from circuit search. Due to its resource-efficiency, Elivagar can further co-search for data embedding in combination with trainable variational circuits, significantly improving the searched quantum model's learning ability and circuit sizes.
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
Headquarters
1 Physics Ellipse, College Park, MD 20740-3844
(301) 209-3200
Editorial Office
100 Motor Pkwy, Suite 110, Hauppauge, NY 11788
(631) 591-4000
Office of Public Affairs
529 14th St NW, Suite 1050, Washington, D.C. 20045-2001
(202) 662-8700