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Frank Barrows

As seen in: Nature, arXiv, Cell Reports Physical Science
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Articles

Magnetic memory and hysteresis from quantum transitions in theory and experiments on quantum annealers

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By Frank Barrows, Elijah Pelofske, Pratik Sathe, Francesco Caravelli, Cristiano Nisoli
| Nature Verified
Abstract Quantum annealing leverages quantum tunneling for non-local searches, thereby minimizing memory effects that typically arise from metastabilities. Nonetheless, recent work has demonstrated protocols for robust hysteresis in large-scale transverse-field Ising systems on D-Wave quantum hardware.
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Computer Science > Neural and Evolutionary Computing

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By Aman Desai, Garrett Kenyon, Frank Barrows
| arXiv
Oscillatory neural networks (ONNs) have emerged as a promising neuromorphic architecture, leveraging coupled dynamical systems to perform computation and represent information through phase relationships. Their interactions can be designed to support intrinsic energy-minimizing dynamics, enabling tasks such as associative memory and optimization, and positioning them as a candidate architecture for continuous learning and inference.
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[2407.20539] Memristive Linear Algebra

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By Frank Barrows, Francesco Caravelli
| arXiv
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