collaborators

5 papers

physics.comp-ph2026

Breakdown of Gradient-Flow Dynamics in Oscillator Ising Machines from Harmonic Misalignment

Abir Hasan, E. M. Hasantha Ekanayake, Kyle Lee +2

Oscillator Ising machines (OIMs) are often viewed as physical systems that perform gradient descent on an energy landscape encoding Ising solutions. Here, we show that this interpr…

physics.comp-ph2026

Bridging the Analog and the Probabilistic Computing Divide: Configuring Oscillator Ising Machines as P-bit Engines

E. M. Hasantha Ekanayake, Nikhat Khan, Nikhil Shukla

Oscillator Ising Machines (OIMs) and probabilistic bit (p-bit)-based computing platforms have emerged as promising paradigms for tackling complex combinatorial optimization problem…

eess.SY2025

Analyzing Parametric Oscillator Ising Machines through the Kuramoto Lens

Nikhat Khan, E. M. H. E. B. Ekanayake, Nicolas Casilli +3

Networks of coupled nonlinear oscillators are emerging as powerful physical platforms for implementing Ising machines. Yet the relationship between parametric-oscillator implementa…

physics.comp-ph2025

Spin Freezing in Oscillator Ising Machines: When Second Harmonic Injection Impedes Computation

Malihe Farasat, E. M. H. E. B. Ekanayake, Nikhil Shukla

Second harmonic injection (SHI) has emerged as a critical mechanism in enabling networks of coupled oscillators to function as Oscillator Ising Machines (OIMs), capable of minimizi…

cs.LG2025

Different Paths, Same Destination: Designing New Physics-Inspired Dynamical Systems with Engineered Stability to Minimize the Ising Hamiltonian

E. M. H. E. B. Ekanayake, N. Shukla

Oscillator Ising machines (OIMs) represent an exemplar case of using physics-inspired non-linear dynamical systems to solve computationally challenging combinatorial optimization p…