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