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Quantum adiabatic machine learning

Quantum adiabatic machine learning

1 September 2011
K. Pudenz
Daniel A. Lidar
ArXiv (abs)PDFHTML

Papers citing "Quantum adiabatic machine learning"

23 / 23 papers shown
CHARME: A chain-based reinforcement learning approach for the minor embedding problem
CHARME: A chain-based reinforcement learning approach for the minor embedding problem
Hoang M. Ngo
Nguyen H K. Do
Minh Nhat Vu
Tre' R. Jeter
Tamer Kahveci
My T. Thai
AI4CE
243
3
0
11 Jun 2024
Adiabatic Quantum Support Vector Machines
Adiabatic Quantum Support Vector Machines
Prasanna Date
Dong Jun Woun
Kathleen E. Hamilton
Eduardo Antonio Coello Pérez
Mayanka Chandra Shekar
Francisco Rios
Ravi Tandon
In-Saeng Suh
Travis Humble
Georgia D. Tourassi
244
0
0
23 Jan 2024
The role of entanglement for enhancing the efficiency of quantum kernels
  towards classification
The role of entanglement for enhancing the efficiency of quantum kernels towards classification
Dikshant Sharma
Parvinder Singh
Atul Kumar
184
17
0
12 Sep 2022
Recent advances for quantum classifiers
Recent advances for quantum classifiersScience China Physics Mechanics and Astronomy (SCPMA), 2021
Weikang Li
D. Deng
AAML
343
105
0
30 Aug 2021
Hybrid quantum-classical machine learning for generative chemistry and
  drug design
Hybrid quantum-classical machine learning for generative chemistry and drug designScientific Reports (Sci Rep), 2021
A. I. Gircha
A. S. Boev
K. Avchaciov
P. Fedichev
A. Fedorov
AI4CEBDL
461
42
0
26 Aug 2021
A Review of Machine Learning Classification Using Quantum Annealing for
  Real-world Applications
A Review of Machine Learning Classification Using Quantum Annealing for Real-world ApplicationsSN Computer Science (SN Comput. Sci.), 2021
R. K. Nath
Himanshu Thapliyal
Travis S. Humble
AI4CE
247
45
0
05 Jun 2021
A Path Towards Quantum Advantage in Training Deep Generative Models with
  Quantum Annealers
A Path Towards Quantum Advantage in Training Deep Generative Models with Quantum Annealers
Walter Winci
L. Buffoni
Hossein Sadeghi
Amir Khoshaman
Evgeny Andriyash
Mohammad H. Amin
BDLDRL
199
64
0
04 Dec 2019
Quantum adiabatic machine learning with zooming
Quantum adiabatic machine learning with zooming
Alexander Zlokapa
Alex Mott
Joshua Job
J. Vlimant
Daniel A. Lidar
M. Spiropulu
AI4CE
283
9
0
13 Aug 2019
Support vector machines on the D-Wave quantum annealer
Support vector machines on the D-Wave quantum annealerComputer Physics Communications (CPC), 2019
D. Willsch
M. Willsch
H. Raedt
K. Michielsen
281
146
0
14 Jun 2019
Near-Term Quantum-Classical Associative Adversarial Networks
Near-Term Quantum-Classical Associative Adversarial Networks
Eric R. Anschütz
Cristian Zanoci
GAN
215
14
0
30 May 2019
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems
Fidelity-based Probabilistic Q-learning for Control of Quantum Systems
Chunlin Chen
D. Dong
Han-Xiong Li
J. Chu
T. Tarn
208
147
0
08 Jun 2018
Quantum algorithms for training Gaussian Processes
Quantum algorithms for training Gaussian Processes
Zhikuan Zhao
Jack K. Fitzsimons
Michael A. Osborne
Stephen J. Roberts
J. Fitzsimons
158
28
0
28 Mar 2018
Quantum Variational Autoencoder
Quantum Variational Autoencoder
Amir Khoshaman
W. Vinci
Brandon Denis
Evgeny Andriyash
Hossein Sadeghi
Mohammad H. Amin
BDLDRL
273
211
0
15 Feb 2018
Hardening Quantum Machine Learning Against Adversaries
Hardening Quantum Machine Learning Against Adversaries
N. Wiebe
Ramnath Kumar
AAML
180
20
0
17 Nov 2017
Machine learning \& artificial intelligence in the quantum domain
Machine learning \& artificial intelligence in the quantum domain
Vedran Dunjko
Hans J. Briegel
380
359
0
08 Sep 2017
Nonnegative/binary matrix factorization with a D-Wave quantum annealer
Nonnegative/binary matrix factorization with a D-Wave quantum annealer
Daniel O’Malley
V. Vesselinov
Boian S. Alexandrov
L. Alexandrov
233
118
0
05 Apr 2017
Quantum Machine Learning
Quantum Machine Learning
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
426
2,587
0
28 Nov 2016
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical
  Models
Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models
Marcello Benedetti
John Realpe-Gómez
R. Biswas
A. Perdomo-Ortiz
476
152
0
08 Sep 2016
Performance Models for Split-execution Computing Systems
Performance Models for Split-execution Computing SystemsIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2016
Travis S. Humble
A. McCaskey
Jonathan Schrock
H. Seddiqi
Keith A. Britt
N. Imam
LRM
137
5
0
05 Jul 2016
Recommender systems inspired by the structure of quantum theory
Recommender systems inspired by the structure of quantum theory
Cyril J. Stark
464
6
0
22 Jan 2016
Quantum assisted Gaussian process regression
Quantum assisted Gaussian process regression
Zhikuan Zhao
Jack K. Fitzsimons
J. Fitzsimons
GP
131
117
0
12 Dec 2015
The Learnability of Unknown Quantum Measurements
The Learnability of Unknown Quantum Measurements
Hao-Chung Cheng
Min-hsiu Hsieh
Ping-Cheng Yeh
276
43
0
03 Jan 2015
Robust Online Hamiltonian Learning
Robust Online Hamiltonian LearningTheory of Quantum Computation, Communication, and Cryptography (TQC), 2012
C. Granade
C. Ferrie
N. Wiebe
D. Cory
241
212
0
06 Jul 2012
1
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