1 citations · 3 across the 14 of their papers we have counts for
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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…
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.…
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…
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…
Voltage-Controlled Oscillator and Memristor-Based Analog Computing for Solving Systems of Linear Equations
Hao Li, Rizwan S. Peerla, Frank Barrows +2
Matrix computations have become increasingly significant in many data-driven applications. However, Moores law for digital computers has been gradually approaching its limit in rec…