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12/07/2018
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm
The design and performance of computer vision algorithms are greatly inf...
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06/01/2018
Adversarial quantum circuit learning for pure state approximation
Adversarial learning is one of the most successful approaches to modelli...
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05/22/2018
Universal discriminative quantum neural networks
Quantum mechanics fundamentally forbids deterministic discrimination of ...
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04/06/2018
Approximating Hamiltonian dynamics with the Nyström method
Simulating the time-evolution of quantum mechanical systems is BQP-hard ...
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02/27/2018
Constructing graphs with limited resources
We discuss the amount of physical resources required to construct a give...
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02/22/2018
Quantum linear systems algorithms: a primer
The Harrow-Hassidim-Lloyd (HHL) quantum algorithm for sampling from the ...
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02/15/2018
Learning DNFs under product distributions via μ-biased quantum Fourier sampling
We show that DNF formulae can be quantum PAC-learned in polynomial time ...
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11/09/2017
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
The goal of this paper is to demonstrate a method for tensorizing neural...
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10/02/2017
Learning hard quantum distributions with variational autoencoders
Studying general quantum many-body systems is one of the major challenge...
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07/26/2017