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From the 1 of 15 linked papers with an AI index.

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20242026
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cs.NE2025

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…

quant-ph2025

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…

cond-mat.mes-hall2025

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.…

quant-ph2025

Magnetic Memory and Hysteresis from Quantum Transitions: Theory and Experiments on Quantum Annealers

Frank Barrows, Elijah Pelofske, Pratik Sathe +2

Quantum annealing leverages quantum tunneling for non-local searches, thereby minimizing memory effects that typically arise from metastabilities. Nonetheless, recent work has demo…

quant-ph2025

Magnetic Hysteresis Experiments Performed on Quantum Annealers

Elijah Pelofske, Frank Barrows, Pratik Sathe +1

While quantum annealers have emerged as versatile and controllable platforms for experimenting on correlated spin systems, the important phenomenology of magnetic memory and hyster…

cond-mat.soft2025

A unifying approach to self-organizing systems interacting via conservation laws

Frank Barrows, Guanming Zhang, Satyam Anand +5

We present a unified framework for embedding and analyzing dynamical systems using generalized projection operators rooted in local conservation laws. By representing physical, bio…