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03/19/2023
Training Deep Boltzmann Networks with Sparse Ising Machines
The slowing down of Moore's law has driven the development of unconventi...
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02/13/2023
A full-stack view of probabilistic computing with p-bits: devices, architectures and algorithms
The transistor celebrated its 75^th birthday in 2022. The continued scal...
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12/01/2021
Quantum advantage in learning from experiments
Quantum technology has the potential to revolutionize how we acquire and...
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11/26/2021
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization
Optimizing highly complex cost/energy functions over discrete variables ...
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11/03/2020
Power of data in quantum machine learning
The use of quantum computing for machine learning is among the most exci...
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06/26/2020
Layerwise learning for quantum neural networks
With the increased focus on quantum circuit learning for near-term appli...
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03/06/2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
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01/03/2020
A Probability Density Theory for Spin-Glass Systems
Spin-glass systems are universal models for representing many-body pheno...
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01/02/2020
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Spin-glasses are universal models that can capture complex behavior of m...
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07/11/2019
Learning to learn with quantum neural networks via classical neural networks
Quantum Neural Networks (QNNs) are a promising variational learning para...
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06/24/2019
Quantum-Assisted Genetic Algorithm
Genetic algorithms, which mimic evolutionary processes to solve optimiza...
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05/22/2018
