375 citations · 2.3k across the 77 of their papers we have counts for
83 papers
Dynamic distortion from discretized coupling feedback in soft-spin Ising machines
Victor H. González, Natalia G. Berloff
Although Ising machines (IMs) have grown in popularity due to their potential as physics-based accelerators for combinatorial optimization problems (COPs), most literature focuses…
Soft vector spins with dimensional annealing for combinatorial optimization
Marvin Syed, Richard Zhipeng Wang, Natalia G. Berloff
Recently, purpose-built analog hardware that can efficiently minimize the Ising energy and thereby solve a variety of combinatorial optimization problems has been receiving widespr…
Attractor-Keyed Memory
Natalia G. Berloff
Physical selectors (lasers choosing a mode, Ising machines settling on a ground state, condensates occupying a spin state) produce high-dimensional signatures at the moment of deci…
A Unified Analytic Framework for Microlensing Caustics: Geode Solutions and Hyper--Catalan Signatures
Gleb Berloff, Natalia G. Berloff
We give a preparation-invariant analytic description of image formation near microlensing caustics. After a local Weierstrass preparation at any multiple image (order ), the…
Programmable k-local Ising interactions and shallow optical Kolmogorov--Arnold networks through repeated data encounters
Nikita Stroev, Natalia G. Berloff
Photonic processors are naturally suited to linear transformations, but independently programmable higher-order interactions usually require nonlinear media or a reduction to pairw…
Solving Distance-Based Optimization Problems Using Optical Hardware
Guangyao Li, Richard Zhipeng Wang, Natalia G. Berloff
We present a practical approach to solving distance-based optimization problems using optical computing hardware. The objective is to minimize an energy function defined as the wei…