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2012.09265
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Variational Quantum Algorithms
Nature Reviews Physics (Nat. Rev. Phys.), 2020
16 December 2020
M. Cerezo
A. Arrasmith
Ryan Babbush
S. Benjamin
Suguru Endo
Keisuke Fujii
Jarrod R. McClean
K. Mitarai
Xiao Yuan
L. Cincio
Patrick J. Coles
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Papers citing
"Variational Quantum Algorithms"
50 / 471 papers shown
Title
VIOLET: Visual Analytics for Explainable Quantum Neural Networks
Shaolun Ruan
Zhiding Liang
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Paul Griffin
Xiaolin Wen
Yanna Lin
Yong Wang
154
1
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Distributed Quantum Neural Networks via Partitioned Features Encoding
Yoshiaki Kawase
168
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21 Dec 2023
Does provable absence of barren plateaus imply classical simulability?
Nature Communications (Nat. Commun.), 2023
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
...
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
246
194
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14 Dec 2023
A Novel Image Classification Framework Based on Variational Quantum Algorithms
Quantum Information Processing (QIP), 2023
Yixiong Chen
142
8
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13 Dec 2023
Improvement in Variational Quantum Algorithms by Measurement Simplification
Jaehoon Hahm
Hayeon Kim
Young June Park
46
0
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11 Dec 2023
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
International Conference on Agents and Artificial Intelligence (ICAART), 2023
Jonas Stein
Navid Roshani
Maximilian Zorn
Philipp Altmann
Michael Kolle
Claudia Linnhoff-Popien
129
1
0
09 Dec 2023
Advantage of Quantum Machine Learning from General Computational Advantages
H. Yamasaki
Natsuto Isogai
M. Murao
58
7
0
05 Dec 2023
Maximising Quantum-Computing Expressive Power through Randomised Circuits
Physical Review Research (Phys. Rev. Res.), 2023
Yingli Yang
Zongkang Zhang
Anbang Wang
Xiaosi Xu
Xiaoting Wang
Ying Li
115
4
0
04 Dec 2023
Toward Automated Quantum Variational Machine Learning
Omer Subasi
170
3
0
04 Dec 2023
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses
Quantum Machine Intelligence (QMI), 2023
David Winderl
Nicola Franco
J. M. Lorenz
AAML
204
10
0
29 Nov 2023
Assessing the Impact of Noise on Quantum Neural Networks: An Experimental Analysis
Hybrid Artificial Intelligence Systems (HAIS), 2023
Erik Terres Escudero
Danel Arias Alamo
Oier Mentxaka Gómez
Pablo García Bringas
159
6
0
23 Nov 2023
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Mohammad Junayed Hasan
M.R.C. Mahdy
202
5
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23 Nov 2023
Symmetry-invariant quantum machine learning force fields
Isabel Nha Minh Le
Oriel Kiss
Julian Schuhmacher
I. Tavernelli
F. Tacchino
AI4CE
153
14
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19 Nov 2023
Tensor networks for interpretable and efficient quantum-inspired machine learning
Shirli Ran
Gang Su
174
13
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19 Nov 2023
sQUlearn -- A Python Library for Quantum Machine Learning
D. Kreplin
Moritz Willmann
Jan Schnabel
Frederic Rapp
Manuel Hagelüken
M. Roth
GP
173
2
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15 Nov 2023
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
Thinh Viet Le
V. Kekatos
140
6
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14 Nov 2023
Optical Quantum Sensing for Agnostic Environments via Deep Learning
Physical Review Research (Phys. Rev. Res.), 2023
Zeqiao Zhou
Yuxuan Du
Xu-Fei Yin
Shanshan Zhao
Xinmei Tian
Dacheng Tao
99
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13 Nov 2023
Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures
International Conference on Agents and Artificial Intelligence (ICAART), 2023
Michael Kolle
Jonas Maurer
Philipp Altmann
Leo Sünkel
Jonas Stein
Claudia Linnhoff-Popien
117
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09 Nov 2023
Multimodal deep representation learning for quantum cross-platform verification
Physical Review Letters (PRL), 2023
Yan Qian
Yuxuan Du
Zhenliang He
Min-hsiu Hsieh
Dacheng Tao
141
16
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07 Nov 2023
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
José Daniel Viqueira
Daniel Faílde
M. M. Juane
Andrés Gómez
David Mera
189
6
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31 Oct 2023
Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting
Frontiers of Physics (Front. Phys.), 2023
Saad Zafar Khan
Nazeefa Muzammil
S. Ghafoor
Haibat Khan
Syed Mohammad Hassan Zaidi
A. Aljohani
Imran Aziz
AI4TS
216
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Variational measurement-based quantum computation for generative modeling
Arunava Majumder
Marius Krumm
Tina Radkohl
Hendrik Poulsen Nautrup
Sofiene Jerbi
Hans J. Briegel
109
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20 Oct 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman
Alberto Marchisio
Muhammad Abdullah Hanif
Mohamed Bennai
276
46
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Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Tecot
Cho-Jui Hsieh
98
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14 Oct 2023
Experimental quantum natural gradient optimization in photonics
Optics Letters (Opt. Lett.), 2023
Yizhi Wang
Shichuan Xue
Yaxuan Wang
Jiangfang Ding
Weixu Shi
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Xiang Fu
Guangyao Huang
Anqi Huang
Mingtang Deng
Junjie Wu
57
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11 Oct 2023
Exponential Quantum Communication Advantage in Distributed Inference and Learning
Neural Information Processing Systems (NeurIPS), 2023
H. Michaeli
D. Gilboa
Daniel Soudry
Jarrod R. McClean
FedML
164
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11 Oct 2023
Quantum Shadow Gradient Descent for Quantum Learning
Mohsen Heidari
M. Naved
Wenbo Xie
Arjun Jacob Grama
Wojtek Szpankowski
71
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10 Oct 2023
Generative quantum machine learning via denoising diffusion probabilistic models
Physical Review Letters (PRL), 2023
Bing-Qi Zhang
Peng Xu
Xiaohui Chen
Quntao Zhuang
DiffM
AI4CE
237
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09 Oct 2023
Successive Data Injection in Conditional Quantum GAN Applied to Time Series Anomaly Detection
IET Quantum Communication (IQC), 2023
Benjamin Kalfon
Soumaya Cherkaoui
J. Laprade
Ola Ahmad
Shengrui Wang
81
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08 Oct 2023
Approximately Equivariant Quantum Neural Network for
p
4
m
p4m
p
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Group Symmetries in Images
International Conference on Quantum Computing and Engineering (QCE), 2023
Su Yeon Chang
Michele Grossi
B. L. Saux
S. Vallecorsa
183
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03 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar
Dheeraj Peddireddy
Vaneet Aggarwal
B. K. Panigrahi
143
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02 Oct 2023
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
AAAI Conference on Artificial Intelligence (AAAI), 2023
Daniel Silver
Tirthak Patel
Aditya Ranjan
Harshitta Gandhi
William Cutler
Devesh Tiwari
161
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26 Sep 2023
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
166
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Potential and limitations of random Fourier features for dequantizing quantum machine learning
Quantum (Quantum), 2023
R. Sweke
Erik Recio
Sofiene Jerbi
Elies Gil-Fuster
Bryce Fuller
Jens Eisert
Johannes Jakob Meyer
142
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Coreset selection can accelerate quantum machine learning models with provable generalization
Physical Review Applied (Phys. Rev. Appl.), 2023
Yiming Huang
Huiyuan Wang
Yuxuan Du
Xiao Yuan
175
6
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19 Sep 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
International Conference on Quantum Computing and Engineering (QCE), 2023
Yize Sun
Yunpu Ma
Volker Tresp
176
19
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19 Sep 2023
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
R. D. East
Guillermo Alonso-Linaje
Chae-Yeun Park
100
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13 Sep 2023
What can we learn from quantum convolutional neural networks?
Advanced Quantum Technologies (AQT), 2023
Chukwudubem Umeano
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
141
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Sub-universal variational circuits for combinatorial optimization problems
Gal Weitz
Lirande Pira
C. Ferrie
J. Combes
70
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29 Aug 2023
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small Samples
Farina Riaz
Shahab A. Abdulla
Hajime Suzuki
Srinjoy Ganguly
R. Deo
Susan Hopkins
94
4
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28 Aug 2023
Parallel-in-time quantum simulation via Page and Wootters quantum time
Physical Review Research (Phys. Rev. Res.), 2023
N. L. Diaz
Paolo Braccia
Martín Larocca
J. Matera
R. Rossignoli
M. Cerezo
97
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0
24 Aug 2023
ShadowNet for Data-Centric Quantum System Learning
Yuxuan Du
Jianlong Wu
Tongliang Liu
Zhouchen Lin
Guohao Li
Dacheng Tao
127
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On the Interpretability of Quantum Neural Networks
Quantum Machine Intelligence (QMI), 2023
Lirande Pira
C. Ferrie
FAtt
132
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A Conceptual Architecture for a Quantum-HPC Middleware
Nishant Saurabh
S. Jha
André Luckow
106
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Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
International Conference on Quantum Computing and Engineering (QCE), 2023
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Maurizio Ferrari Dacrema
Paolo Cremonesi
150
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Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
International Conference on Quantum Computing and Engineering (QCE), 2023
Kilian Tscharke
Sebastian Issel
Pascal Debus
142
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DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms
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Debarshi Kundu
Swaroop Ghosh
240
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Post-variational quantum neural networks
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Patrick Rebentrost
186
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Computing the gradients with respect to all parameters of a quantum neural network using a single circuit
Guanglei He
232
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Fast Quantum Algorithm for Attention Computation
Yeqi Gao
Zhao Song
Xin Yang
Ruizhe Zhang
LRM
154
25
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