Beyond von-Neumann Computing:

Leveraging Novel Physics for the Future of Computation

Aspen Center for Physics

May 25 – June 15, 2025

Beyond von-Neumann Computing:

Leveraging Novel Physics for the Future of Computation

Aspen Center for Physics
May 25 – June 15, 2025

Program

Program

Week 1
Monday, May 26, 3:00-3:30 PM, Lemonade and Cookies
Tuesday, May 27, 2:00-7:00 PM, Patio
2:00 – 2:30 Introduction of all program participants
2:30 – 3:25 Natalia Berloff, Cambridge, Gain-Based Computing with Coupled Light and Matter, slides
3:25 – 3:35 Break
3:35 – 4:40
Logan Wright, Yale, Some Considerations (and some recent results) on Scaling Physical Computing
5:00 – 7:00
Aspen BBQ
Wednesday, May 28, 2:00-4:30 PM, Patio
2:00 – 2:30 Clara Wanjura, Max Planck Institute, Fully Nonlinear Neuromorphic computing with Linear Wave Scattering
2:30 – 3:00 Fatih Dinc, University of California – Santa Barbara, Latent Processing Units: A Theory of Distributed Dynamical Computation in Biological Neural Networks
3:00 – 3:30 Sam Dillavou, University of Pennsylvania, Self-Learning Networks in the Lab
3:30 – 3:40 Break
3:40 – 4:30
Gavin Crooks, Normal Computing, Riemannian Geometry of Optimal Thermodynamic Control
Thursday, May 29, 3:00-5:00 PM, Colloquium + Wine/Cheese Reception
Friday, May 30
10:00 – 11:00 Informal discussion, Hideo Mabuchi, Alternative Questions in Optimization, Bardeen Alcove
02:00 – 03:00 Informal discussion, Cyrill Bösch, Equilibrium Propagation and Physical Learning, Bardeen Alcove
Week 2
Monday, June 2
11:00 – 12:00 Informal discussion, Yigit Subasi and Fatih Dinc, Koopman Operators, Bardeen Alcove
3:00 – 3:30 Lemonade and Cookies
4:00 – 5:00 Informal discussion, Hakan Türeci and Peter McMahon, Making Low-Energy PNNs Work: The Role of Sampling Noise and Dissipation, Bardeen Alcove
Tuesday, June 3, 2:00-7:00 PM, Patio
11:00 – 12:00 Informal discussion, Fatih Dinc, FORCE learning, Bardeen Alcove
2:00 – 2:30 Introduction of all program participants
2:30 – 3:25 David Wolpert, Santa Fe Institute, The Stochastic Thermodynamics of Computation
3:25 – 3:35 Break
3:35 – 4:40
Sonia Buckley, NIST, Emergent Learning in Hardware Neural Networks
5:00 – 7:00
Aspen BBQ
Wednesday, June 4
11:00 – 12:00 Informal discussion, Fatih Dinc, Computation Through Population Dynamics, Bardeen Alcove
2:00-4:30 PM, Patio
2:00 – 2:30 Bingzhi Zhang, University of Southern California, Dynamical Transition in Training of Quantum Neural Network: from Optimization to Supervised Learning
2:30 – 3:00 Frank Barrows, Los Alamos National Lab, Network Theory for Comparing Physical and Artificial Neural Networks
3:00 – 3:30 Gerasimos Angelatos, Raytheon BBN, Signal in the Noise: Eigentasks for Learning in Physical Systems
3:30 – 3:40 Break
3:40 – 4:30
Roberta Zambrini, Consejo Superior de Investigaciones Cientificas, Erasing to Learn in Quantum Reservoir Computing
Thursday, June 5
10:00 – 11:30 All Participants, Flash Talks, Bethe Seminar Room
11:30 – 12:00 Informal discussion, Lincoln Carr, Perspective Paper, Bethe Seminar Room
2:00 – 3:00 Informal discussion, Andrea Liu, Dynamical Coupled Learning for Networks with Non-Reciprocal Weights, Bardeen Alcove
3:00 – 5:00 Colloquium + Wine/Cheese Reception
Friday, June 6
10:30 – 11:30 Informal discussion, Meenakshi Singh, Quantum Calibration and Control, Bardeen Alcove
1:30 – 2:30 Informal discussion, Gerry Angelatos, Rethinking Learning in Quantum Systems, Bardeen Alcove
Week 3
Monday, June 9
1:30 – 2:30 Andrea Liu, Research Discussion, Flug Forum
3:00 – 3:30 Lemonade and Cookies
4:00 – 5:00 Fatih Dinc, Tutorial on the Physics of Computation with Physical, Biological, and Artificial Networks Discussion, Bardeen Alcove
Tuesday, June 10, 2:00-7:00 PM, Patio
2:00 – 2:30 Introduction of all program participants
2:30 – 3:25 Marcus Benna, University of California – San Diego, Exploring the Computational Benefits of Nonlinear Synaptic Processing
3:25 – 3:35 Break
3:35 – 4:30 Doug Durian, University of Pennsylvania, Confronting and Overcoming Bias (in electronic learning circuits)
5:00 – 7:00
Aspen BBQ
Wednesday, June 11
11:00 – 12:00 Fatih Dinc, Tutorial on the Physics of Computation with Physical, Biological, and Artificial Networks Discussion, Bardeen Alcove
1:00-4:30 PM, Patio
2:00 – 2:30 Cyrill Bösch, Princeton University, Physical Generative Diffusion Models
2:30 – 3:00 Kyle Ray, University of California – Davis, Computing with Momentum
3:00 – 3:30 Vidysesh Rao Anisetti, University of Chicago, Training physical systems through Multi-Mechanism Learning
3:30 – 3:40 Break
3:40 – 4:30
Wolfgang Losert, University of Maryland, Astrocyte Biocomputing – Experiments and Bioinspired Algorithms
Thursday, June 12
11:30 – 12:30 Informal discussion, Leo Zhou, Energy Landscapes of Open Quantum Systems, Gell-Mann Alcove
2:00 – 3:00 Informal discussion, Andrea Liu, Dynamical Coupled Learning for Networks with Non-Reciprocal Weights, Library
3:00-5:00 Colloquium + Wine/Cheese Reception