10 papers
Geometry-Induced Domain-Wall Pinning and Asymmetry in Nominally One-Dimensional Rydberg Arrays
Elijah Pelofske, Frank Barrows, Cristiano Nisoli
The paper reports experiments on a neutral‑Rydberg‑atom quantum processor where the geometry of atom arrangements causes domain walls to become pinned and breaks the Z₂ symmetry of…
Self-Organized Learning in Oscillatory Neural Networks with Memristive Signed Couplings
Riley Acker, Aman Desai, Garrett Kenyon +1
Oscillatory neural networks (ONNs) have emerged as a promising neuromorphic architecture, leveraging coupled dynamical systems to perform computation and represent information thro…
How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
Jonathan Lin, Aman Desai, Frank Barrows +1
Machine learning is a powerful method of extracting meaning from data; unfortunately, current digital hardware is extremely energy-intensive. There is interest in an alternative an…
Autonomous Learning of Attractors for Neuromorphic Computing with Wien Bridge Oscillator Networks
Riley Acker, Aman Desai, Garrett Kenyon +1
We present an oscillatory neuromorphic primitive implemented with networks of coupled Wien bridge oscillators and tunable resistive couplings. Phase relationships between oscillato…
Probing Antiferromagnetic Hysteresis on Programmable Quantum Annealers
Elijah Pelofske, Pratik Sathe, Cristiano Nisoli +1
Using programmable analog quantum annealing processors, we implement a sampling-based magnetic hysteresis protocol to probe the counterintuitive notion of magnetic memory in antife…
Direct Visualization of the Magnetic Monopole Field in a 3D Artificial Spin Ice
Arjen van den Berg, Peter Rickhaus, Frank Barrows +2
Magnetic monopoles, long hypothesised as fundamental particles carrying isolated magnetic charge, emerge in spin-ice systems as fractionalised excitations governed by the ice rule.…