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05/17/2022
Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift
In living organisms, homeostasis is the natural regulation of internal s...
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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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07/19/2021
A quantum algorithm for training wide and deep classical neural networks
Given the success of deep learning in classical machine learning, quantu...
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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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10/22/2020
Learnability and Complexity of Quantum Samples
Given a quantum circuit, a quantum computer can sample the output distri...
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06/08/2020
The Snake Optimizer for Learning Quantum Processor Control Parameters
High performance quantum computing requires a calibration system that le...
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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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12/09/2019
Learning Non-Markovian Quantum Noise from Moiré-Enhanced Swap Spectroscopy with Deep Evolutionary Algorithm
Two-level-system (TLS) defects in amorphous dielectrics are a major sour...
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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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05/01/2019
Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation
Noisy Intermediate-Scale Quantum (NISQ) computers aim to perform computa...
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05/22/2018
Universal discriminative quantum neural networks
Quantum mechanics fundamentally forbids deterministic discrimination of ...
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03/29/2018
