activity
20232026
most citedThermodynamic Computing System for AI Applications

4 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

cs.ET2026

CN101 - A Digital Thermodynamic Computer for Generative AI

Lars Holdijk, Denis Melanson, Zier Mensch +14

Thermodynamic computing is an emerging hardware paradigm, in which stochastic physical dynamics serve as the direct computational primitive. The recent explosion of generative AI h…

cs.ET2025★ 2 cited

Solving the compute crisis with physics-based ASICs

Maxwell Aifer, Zach Belateche, Suraj Bramhavar +11

Escalating artificial intelligence (AI) demands expose a critical "compute crisis" characterized by unsustainable energy consumption, prohibitive training costs, and the approachin…

cs.ET2025

Scalable Thermodynamic Second-order Optimization

Kaelan Donatella, Samuel Duffield, Denis Melanson +7

Many hardware proposals have aimed to accelerate inference in AI workloads. Less attention has been paid to hardware acceleration of training, despite the enormous societal impact…

cond-mat.stat-mech2024

Thermodynamic Bayesian Inference

Maxwell Aifer, Samuel Duffield, Kaelan Donatella +6

A fully Bayesian treatment of complicated predictive models (such as deep neural networks) would enable rigorous uncertainty quantification and the automation of higher-level tasks…

cs.LG2024★ 3 cited

Thermodynamic Natural Gradient Descent

Kaelan Donatella, Samuel Duffield, Maxwell Aifer +3

Second-order training methods have better convergence properties than gradient descent but are rarely used in practice for large-scale training due to their computational overhead.…

cs.ET2024★ 2 cited

Error Mitigation for Thermodynamic Computing

Maxwell Aifer, Denis Melanson, Kaelan Donatella +3

While physics-based computing can offer speed and energy efficiency compared to digital computing, it also is subject to errors that must be mitigated. For example, many error miti…

cs.ET2023★ 4 cited

Thermodynamic Computing System for AI Applications

Denis Melanson, Mohammad Abu Khater, Maxwell Aifer +7

Recent breakthroughs in artificial intelligence (AI) algorithms have highlighted the need for novel computing hardware in order to truly unlock the potential for AI. Physics-based…

cond-mat.stat-mech2023★ 2 cited

Thermodynamic Matrix Exponentials and Thermodynamic Parallelism

Samuel Duffield, Maxwell Aifer, Gavin Crooks +2

Thermodynamic computing exploits fluctuations and dissipation in physical systems to efficiently solve various mathematical problems. For example, it was recently shown that certai…