Ising machines, which are hardware implementations of the Ising model of coupled spins,
have been influential in the development of unsupervised learning algorithms at the origins …

We develop a physics-based model for classical computation based on autonomous
quantum thermal machines. These machines consist of few interacting quantum bits (qubits) …

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 …

Thermodynamic computing has emerged as a promising paradigm for accelerating
computation by harnessing the thermalization properties of physical systems. This work …

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 …

Non-equilibrium quantum thermodynamics is an intensively developing field with many
existing applications. We study the dynamics of temperatures and chemical potentials of …

We consider the problem of finding the energy minimum of a complex quantum Hamiltonian
by employing a non-Markovian bath prepared in a low energy state. The energy …

We present the design for a thermodynamic computer that can perform arbitrary nonlinear
calculations in or out of equilibrium. Simple thermodynamic circuits, fluctuating degrees of …