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12/21/2020
Defence against adversarial attacks using classical and quantum-enhanced Boltzmann machines
We provide a robust defence to adversarial attacks on discriminative alg...
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07/14/2019
An Artificial Spiking Quantum Neuron
Artificial spiking neural networks have found applications in areas wher...
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12/21/2018
Open source software in quantum computing
Open source software is becoming crucial in the design and testing of qu...
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06/29/2018
Bayesian Deep Learning on a Quantum Computer
Bayesian methods in machine learning, such as Gaussian processes, have g...
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12/20/2017
Anchored Network Users: Stochastic Evolutionary Dynamics of Cognitive Radio Network Selection
To solve the spectrum scarcity problem, the cognitive radio technology i...
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10/13/2017
Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures
The resemblance between the methods used in studying quantum-many body p...
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10/11/2017
Adversarial Domain Adaptation for Identifying Phase Transitions
The identification of phases of matter is a challenging task, especially...
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11/24/2016
Quantum Enhanced Inference in Markov Logic Networks
Markov logic networks (MLNs) reconcile two opposing schools in machine l...
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08/22/2016
Single-shot Adaptive Measurement for Quantum-enhanced Metrology
Quantum-enhanced metrology aims to estimate an unknown parameter such th...
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08/03/2016
A Physical Metaphor to Study Semantic Drift
In accessibility tests for digital preservation, over time we experience...
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07/12/2016
Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
Quantum control is valuable for various quantum technologies such as hig...
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05/24/2016
Inductive supervised quantum learning
In supervised learning, an inductive learning algorithm extracts general...
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02/05/2015
Monitoring Term Drift Based on Semantic Consistency in an Evolving Vector Field
Based on the Aristotelian concept of potentiality vs. actuality allowing...
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05/07/2013