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2012.00101
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Natural Evolutionary Strategies for Variational Quantum Computation
30 November 2020
A. Anand
M. Degroote
Alán Aspuru-Guzik
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Papers citing
"Natural Evolutionary Strategies for Variational Quantum Computation"
16 / 16 papers shown
SparseMap: A Sparse Tensor Accelerator Framework Based on Evolution Strategy
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2025
Boran Zhao
Haiming Zhai
Zihang Yuan
Hetian Liu
Tian Xia
Wenzhe zhao
Pengju Ren
97
1
0
18 Aug 2025
Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
Lucas Tecot
Di Luo
Cho-Jui Hsieh
233
0
0
24 May 2025
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang
Sergii Strelchuk
339
99
0
21 Jan 2024
Randomized Benchmarking of Local Zeroth-Order Optimizers for Variational Quantum Systems
Lucas Tecot
Cho-Jui Hsieh
206
0
0
14 Oct 2023
The quantum cost function concentration dependency on the parametrization expressivity
Scientific Reports (Sci Rep), 2023
Lucas Friedrich
Jonas Maziero
281
18
0
17 Jan 2023
Near-Term Quantum Computing Techniques: Variational Quantum Algorithms, Error Mitigation, Circuit Compilation, Benchmarking and Classical Simulation
Science China Physics Mechanics and Astronomy (SCPMA), 2022
Heliang Huang
Xiao-Yue Xu
Chu Guo
Guojing Tian
Shijie Wei
Xiaoming Sun
Wansu Bao
G. Long
296
89
0
16 Nov 2022
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images
Expert systems with applications (ESWA), 2022
Sergio Altares-López
J. J. García-Ripoll
Ángela Ribeiro
213
26
0
28 Aug 2022
Evolution strategies: Application in hybrid quantum-classical neural networks
Quantum Information Processing (QIP), 2022
Lucas Friedrich
Jonas Maziero
215
12
0
17 May 2022
Monte Carlo Tree Search based Hybrid Optimization of Variational Quantum Circuits
Mathematical and Scientific Machine Learning (MSML), 2022
Jiahao Yao
Haoya Li
Marin Bukov
Lin Lin
Lexing Ying
169
21
0
30 Mar 2022
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
Nature Machine Intelligence (Nat. Mach. Intell.), 2021
Daniel Flam-Shepherd
Tony C Wu
Xuemei Gu
Alba Cervera-Lierta
Mario Krenn
Alán Aspuru-Guzik
DRL
191
27
0
06 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
H. Goan
Y. Kao
408
108
0
01 Sep 2021
Automatic design of quantum feature maps
Quantum Science and Technology (QST), 2021
Sergio Altares-López
Ángela Ribeiro
J. J. García-Ripoll
203
73
0
26 May 2021
Quantum Circuit Evolution on NISQ Devices
IEEE Congress on Evolutionary Computation (CEC), 2020
L. Franken
B. Georgiev
Sascha Mucke
Moritz Wolter
R. Heese
Christian Bauckhage
Nico Piatkowski
316
22
0
23 Dec 2020
Variational Quantum Algorithms
Nature Reviews Physics (Nat. Rev. Phys.), 2020
M. Cerezo
A. Arrasmith
Ryan Babbush
S. Benjamin
Suguru Endo
...
Jarrod R. McClean
K. Mitarai
Xiao Yuan
L. Cincio
Patrick J. Coles
518
3,545
0
16 Dec 2020
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks
Mathematical and Scientific Machine Learning (MSML), 2020
Jiahao Yao
Paul Köttering
Hans Gundlach
Lin Lin
Marin Bukov
313
15
0
12 Dec 2020
Effect of barren plateaus on gradient-free optimization
Quantum (Quantum), 2020
A. Arrasmith
M. Cerezo
Piotr Czarnik
L. Cincio
Patrick J. Coles
495
270
0
24 Nov 2020
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