Researchers are speeding up computers using a weird trick inspired by how hot water sometimes freezes faster than cold.
March 26, 2026
Original Paper
Digitally Optimized Initializations for Fast Thermodynamic Computing
arXiv · 2603.24183
The Takeaway
Instead of using digital logic, thermodynamic computers solve math by letting a physical system 'cool down' into a final state. By applying the logic of the Mpemba effect—where a system starting further from equilibrium can actually reach it faster—they can force these systems to calculate results much quicker than previously thought possible.
From the abstract
Thermodynamic computing harnesses the relaxation dynamics of physical systems to perform matrix operations. A key limitation of such approaches is the often long thermalization time required for the system to approach equilibrium with sufficient accuracy. Here, we introduce a hybrid digital-thermodynamic algorithm that substantially accelerates relaxation through optimized initializations inspired by the Mpemba effect. In the proposed scheme, a classical digital processor efficiently computes an