Computing with Physical Systems
Aspen Center for Physics Winter Conference, January 7-12, 2024.
Andrea Liu (U. Pennsylvania)
Peter McMahon (Cornell U.)
Arvind Murugan (U. Chicago)
Hakan Türeci (Princeton U.)
There has been an explosion of interest in unconventional approaches to computing with physical systems (some recent reviews/works: [MMB2022], [SM2023], [WOG+2020], [HAK+23]). This has been driven by multiple factors, including (1) the realization that there is the potential to build vastly more energy-efficient or faster computers if we rethink how we harness physical processes for computing – giving up some of the abstractions computers have relied on for 50+ years in exchange for being able to operate closer to the fundamental limits that physics allows, and (2) the growth of machine learning – which provides both a strong motivator for more efficient machines to be built, as well as a wealth of methods that can be used to reimagine how computers work. This Aspen Winter Conference will bring together both theorists and experimentalists across a broad range of disciplines – including soft condensed matter, biological physics, neuroscience, machine learning, hard condensed matter, optics, fluid dynamics, and quantum information science – who typically do not have the opportunity to interact but who are all exploring various aspects of computing in different physical systems. Topics will include:
The conference will feature invited talks and discussion sessions. All participants will be invited to present posters. A welcome reception will be held on Sunday 7 January 2024, and the scientific program will take place from Monday 8 January 2024 until lunchtime on Friday 12 January 2024.
- Information processing and dynamics in classical and quantum systems, including (but not limited to) electronic, spintronic, optical, mechanical, fluidic, biological, and chemical systems.
- Devices, architectures, and algorithms for constructing physical machines that can learn without electronic processors.
- Fundamental limits to computing: time, energy, precision.
- Integrated sensing, computation, and actuation.
We welcome applications for participation from researchers at all career stages and encourage all participants to present a poster. Per the Aspen Center for Physics, everyone (including organizers and invited speakers) must apply to participate. If your application is accepted, you will receive a password to register. Please use the following link to the application form (application deadline: Applications are now closed.
31 August 2023).
The scientific organizers are grateful that the logistics of the conference are largely handled by the Aspen Center For Physics. Please see here for information on travel/visas, lodging, registration, and local activities (e.g., skiing).
All conference participants are welcome (and encouraged) to present in the poster sessions. Posters will be attached to corridor walls using masking tape, so if you would like to present a poster, please keep this in mind. The largest poster size that can be accommodated is 5 ft x 5 ft (~1.5 m x 1.5 m).
Armita Nourmohammad (U. Washington)
Benjamin Scellier (Rain Neuromorphics)
Damien Querlioz (CNRS)
Daniel Hexner (Technion)
Danijela Marković (CNRS)
Doug Durian (U. Pennsylvania)
Eli Yablonovitch (UC Berkeley)
Erik Winfree (Caltech)
Evelyn Tang (Rice U.)
Florian Marquardt (Max Planck Institute for the Science of Light)
Hidenori Tanaka (Harvard U.)
Jennifer Schwarz (Syracuse U.)
Karl Berggren (MIT)
Lisa Manning (Syracuse U.)
Logan Wright (Yale U.)
Lulu Qian (Caltech)
Manu Prakash (Stanford U.)
Rebecca Schulman (Johns Hopkins U.)
Ryan Adams (Princeton U.)
Vijay Balasubramanian (U. Pennsylvania)