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Bayesian Deep Learning on a Quantum Computer

Bayesian Deep Learning on a Quantum Computer

29 June 2018
Zhikuan Zhao
Alejandro Pozas-Kerstjens
Patrick Rebentrost
P. Wittek
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Bayesian Deep Learning on a Quantum Computer"

9 / 9 papers shown
Title
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
Natansh Mathur
Brian Coyle
Nishant Jain
Snehal Raj
Akshat Tandon
Jasper Simon Krauser
Rainer Stoessel
25
0
0
25 Apr 2025
Building Continuous Quantum-Classical Bayesian Neural Networks for a
  Classical Clinical Dataset
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
Alona Sakhnenko
Julian Sikora
J. M. Lorenz
39
0
0
10 Jun 2024
Accelerating the training of single-layer binary neural networks using
  the HHL quantum algorithm
Accelerating the training of single-layer binary neural networks using the HHL quantum algorithm
S. L. Alarcón
Cory E. Merkel
Martin Hoffnagle
Sabrina Ly
Alejandro Pozas-Kerstjens
16
5
0
23 Oct 2022
Quantum Bayesian Computation
Quantum Bayesian Computation
Maria Nareklishvili
Vadim Sokolov
Jianeng Xu
29
2
0
17 Aug 2022
Optimal Provable Robustness of Quantum Classification via Quantum
  Hypothesis Testing
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Maurice Weber
Nana Liu
Bo-wen Li
Ce Zhang
Zhikuan Zhao
AAML
34
28
0
21 Sep 2020
The prospects of quantum computing in computational molecular biology
The prospects of quantum computing in computational molecular biology
C. Outeiral
M. Strahm
Jiye Shi
Garrett M. Morris
S. Benjamin
Charlotte M. Deane
37
177
0
26 May 2020
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in
  Gaussian Process Hybrid Deep Networks
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
John Bradshaw
A. G. Matthews
Zoubin Ghahramani
BDL
AAML
68
171
0
08 Jul 2017
Learning Unitary Operators with Help From u(n)
Learning Unitary Operators with Help From u(n)
Stephanie L. Hyland
Gunnar Rätsch
89
41
0
17 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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