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Active learning machine learns to create new quantum experiments
v1v2v3 (latest)

Active learning machine learns to create new quantum experiments

2 June 2017
A. Melnikov
Hendrik Poulsen Nautrup
Mario Krenn
Vedran Dunjko
M. Tiersch
A. Zeilinger
Hans J. Briegel
ArXiv (abs)PDFHTML

Papers citing "Active learning machine learns to create new quantum experiments"

50 / 63 papers shown
Title
Quantum computing and artificial intelligence: status and perspectives
Quantum computing and artificial intelligence: status and perspectives
Giovanni Acampora
Andris Ambainis
Natalia Ares
Leonardo Banchi
Pallavi Bhardwaj
...
Markus Schmitt
Philipp Slusallek
Filippo Vicentini
Christof Weitenberg
Frank K. Wilhelm
63
1
0
29 May 2025
Interpretable Machine Learning in Physics: A Review
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel
Seungwoong Ha
Raban Iten
Miriam Klopotek
Ziming Liu
AI4CE
160
2
0
30 Mar 2025
Quantum Artificial Intelligence: A Brief Survey
Quantum Artificial Intelligence: A Brief Survey
Matthias Klusch
Jorg Lassig
Daniel Mussig
A. Macaluso
Frank K. Wilhelm
97
5
0
20 Aug 2024
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired
  Inductive Bias
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Bias
Philip A. LeMaitre
Marius Krumm
Hans J. Briegel
AI4CE
78
2
0
15 Feb 2024
Optical Quantum Sensing for Agnostic Environments via Deep Learning
Optical Quantum Sensing for Agnostic Environments via Deep Learning
Zeqiao Zhou
Yuxuan Du
Xu-Fei Yin
Shanshan Zhao
Xinmei Tian
Dacheng Tao
53
0
0
13 Nov 2023
Quantum circuit synthesis with diffusion models
Quantum circuit synthesis with diffusion models
Florian Fürrutter
Gorka Muñoz-Gil
Hans J. Briegel
AI4CEDiffM
84
24
0
03 Nov 2023
Machine learning in physics: a short guide
Machine learning in physics: a short guide
F. A. Rodrigues
PINNAI4CE
54
7
0
16 Oct 2023
Framework-Based Qualitative Analysis of Free Responses of Large Language
  Models: Algorithmic Fidelity
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
A. Amirova
T. Fteropoulli
Nafiso Ahmed
Martin R. Cowie
Joel Z Leibo
89
11
0
06 Sep 2023
What can we learn from quantum convolutional neural networks?
What can we learn from quantum convolutional neural networks?
Chukwudubem Umeano
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
78
14
0
31 Aug 2023
Learning minimal representations of stochastic processes with
  variational autoencoders
Learning minimal representations of stochastic processes with variational autoencoders
Gabriel Fernández-Fernández
Carlo Manzo
M. Lewenstein
A. Dauphin
Gorka Muñoz-Gil
DiffM
62
6
0
21 Jul 2023
Active Learning in Physics: From 101, to Progress, and Perspective
Active Learning in Physics: From 101, to Progress, and Perspective
Yongcheng Ding
J. D. Martín-Guerrero
Yolanda Vives-Gilabert
Xi Chen
AI4CE
70
3
0
08 Jul 2023
Towards interpretable quantum machine learning via single-photon quantum
  walks
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini
Marius Krumm
Lukas J. Fiderer
Thomas Müller
Hans J. Briegel
71
7
0
31 Jan 2023
Automated Gadget Discovery in Science
Automated Gadget Discovery in Science
Lea M. Trenkwalder
Andrea López-Incera
Hendrik Poulsen Nautrup
Fulvio Flamini
Hans J. Briegel
55
3
0
24 Dec 2022
Efficient and quantum-adaptive machine learning with fermion neural
  networks
Efficient and quantum-adaptive machine learning with fermion neural networks
Peikun Zheng
Jia-Bao Wang
Yi Zhang
51
3
0
10 Nov 2022
Learning to predict arbitrary quantum processes
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang
Sitan Chen
J. Preskill
110
65
0
26 Oct 2022
Deep reinforcement learning for quantum multiparameter estimation
Deep reinforcement learning for quantum multiparameter estimation
V. Cimini
M. Valeri
E. Polino
S. Piacentini
Francesco Ceccarelli
G. Corrielli
N. Spagnolo
R. Osellame
F. Sciarrino
51
34
0
01 Sep 2022
On scientific understanding with artificial intelligence
On scientific understanding with artificial intelligence
Mario Krenn
R. Pollice
S. Guo
Matteo Aldeghi
Alba Cervera-Lierta
...
Florian Hase
A. Jinich
AkshatKumar Nigam
Zhenpeng Yao
Alán Aspuru-Guzik
88
197
0
04 Apr 2022
Identification of diffracted vortex beams at different propagation
  distances using deep learning
Identification of diffracted vortex beams at different propagation distances using deep learning
Heng-Yun Lv
Yan Guo
Ziyao Yang
C. Ding
Wu‐Hao Cai
Chenglong You
Rui-Bo Jin
19
8
0
30 Mar 2022
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
Eyal Rozenberg
Aviv Karnieli
O. Yesharim
Joshua Foley-Comer
Sivan Trajtenberg‐Mills
Daniel Freedman
A. Bronstein
A. Arie
72
0
0
11 Dec 2021
QKSA: Quantum Knowledge Seeking Agent -- resource-optimized
  reinforcement learning using quantum process tomography
QKSA: Quantum Knowledge Seeking Agent -- resource-optimized reinforcement learning using quantum process tomography
A. Sarkar
Zaid Al-Ars
H. Gandhi
K. Bertels
36
3
0
07 Dec 2021
Active Learning for the Optimal Design of Multinomial Classification in
  Physics
Active Learning for the Optimal Design of Multinomial Classification in Physics
Yongcheng Ding
J. D. Martín-Guerrero
Yu-Chen Song
José Rafael Magdalena Benedicto
Xi Chen
45
5
0
17 Sep 2021
Learning Interpretable Representations of Entanglement in Quantum Optics
  Experiments using Deep Generative Models
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
Daniel Flam-Shepherd
Tony C Wu
Xuemei Gu
Alba Cervera-Lierta
Mario Krenn
Alán Aspuru-Guzik
DRL
64
21
0
06 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
H. Goan
Y. Kao
92
87
0
01 Sep 2021
Improving application performance with biased distributions of quantum
  states
Improving application performance with biased distributions of quantum states
Sanjaya Lohani
J. Lukens
Daniel E. Jones
T. Searles
R. Glasser
Brian T. Kirby
69
10
0
15 Jul 2021
QKSA: Quantum Knowledge Seeking Agent
QKSA: Quantum Knowledge Seeking Agent
A. Sarkar
141
7
0
03 Jul 2021
Quantum circuit synthesis of Bell and GHZ states using projective
  simulation in the NISQ era
Quantum circuit synthesis of Bell and GHZ states using projective simulation in the NISQ era
Otto M. Pires
E. I. Duzzioni
J. Marchi
R. Santiago
22
2
0
27 Apr 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
136
222
0
07 Jan 2021
Variational Quantum Cloning: Improving Practicality for Quantum
  Cryptanalysis
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Brian Coyle
Mina Doosti
E. Kashefi
N. Kumar
25
3
0
21 Dec 2020
Classification and reconstruction of optical quantum states with deep
  neural networks
Classification and reconstruction of optical quantum states with deep neural networks
Shahnawaz Ahmed
C. Muñoz
Franco Nori
A. F. Kockum
88
64
0
03 Dec 2020
Boosting on the shoulders of giants in quantum device calibration
Boosting on the shoulders of giants in quantum device calibration
A. Wozniakowski
Jayne Thompson
M. Gu
F. Binder
38
3
0
13 May 2020
Quantum machine learning and quantum biomimetics: A perspective
Quantum machine learning and quantum biomimetics: A perspective
L. Lamata
AI4CE
94
57
0
25 Apr 2020
Computer-inspired Quantum Experiments
Computer-inspired Quantum Experiments
Mario Krenn
Manuel Erhard
A. Zeilinger
72
75
0
23 Feb 2020
Real-time calibration of coherent-state receivers: learning by trial and
  error
Real-time calibration of coherent-state receivers: learning by trial and error
M. Bilkis
M. Rosati
R. M. Yepes
J. Calsamiglia
83
14
0
28 Jan 2020
Machine learning transfer efficiencies for noisy quantum walks
Machine learning transfer efficiencies for noisy quantum walks
A. Melnikov
Leonid Fedichkin
Ray-Kuang Lee
A. Alodjants
84
21
0
15 Jan 2020
Operationally meaningful representations of physical systems in neural
  networks
Operationally meaningful representations of physical systems in neural networks
Hendrik Poulsen Nautrup
Tony Metger
Raban Iten
Sofiene Jerbi
Lea M. Trenkwalder
H. Wilming
Hans J. Briegel
R. Renner
AI4CENAI
82
28
0
02 Jan 2020
A quantum active learning algorithm for sampling against adversarial
  attacks
A quantum active learning algorithm for sampling against adversarial attacks
Pablo Antonio Moreno Casares
M. Martin-Delgado
AAML
67
10
0
06 Dec 2019
Quantum Optical Experiments Modeled by Long Short-Term Memory
Quantum Optical Experiments Modeled by Long Short-Term Memory
Thomas Adler
Manuel Erhard
Mario Krenn
Johannes Brandstetter
Johannes Kofler
Sepp Hochreiter
76
9
0
30 Oct 2019
Quantum enhancements for deep reinforcement learning in large spaces
Quantum enhancements for deep reinforcement learning in large spaces
Sofiene Jerbi
Lea M. Trenkwalder
Hendrik Poulsen Nautrup
Hans J. Briegel
Vedran Dunjko
96
5
0
28 Oct 2019
On the convergence of projective-simulation-based reinforcement learning
  in Markov decision processes
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes
Walter L. Boyajian
Jens Clausen
Lea M. Trenkwalder
Vedran Dunjko
Hans J. Briegel
81
14
0
25 Oct 2019
How a minimal learning agent can infer the existence of unobserved
  variables in a complex environment
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
K. Ried
B. Eva
Thomas Müller
Hans J. Briegel
70
15
0
15 Oct 2019
Improving the dynamics of quantum sensors with reinforcement learning
Improving the dynamics of quantum sensors with reinforcement learning
Jonas Schuff
Lukas J. Fiderer
D. Braun
40
43
0
22 Aug 2019
A neural network oracle for quantum nonlocality problems in networks
A neural network oracle for quantum nonlocality problems in networks
Tamás Kriváchy
Yu Cai
D. Cavalcanti
Arash Tavakoli
N. Gisin
N. Brunner
73
64
0
24 Jul 2019
Photonic architecture for reinforcement learning
Photonic architecture for reinforcement learning
Fulvio Flamini
A. Hamann
Sofiene Jerbi
Lea M. Trenkwalder
Hendrik Poulsen Nautrup
Hans J. Briegel
85
29
0
17 Jul 2019
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular
  string representation
Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
Mario Krenn
Florian Hase
AkshatKumar Nigam
Pascal Friederich
Alán Aspuru-Guzik
118
71
0
31 May 2019
Machine learning for long-distance quantum communication
Machine learning for long-distance quantum communication
J. Wallnöfer
A. Melnikov
W. Dür
Hans J. Briegel
105
87
0
24 Apr 2019
Machine learning applied to quantum synchronization-assisted probing
Machine learning applied to quantum synchronization-assisted probing
Gabriel Garau Estarellas
G. Giorgi
Miguel C. Soriano
R. Zambrini
23
10
0
16 Jan 2019
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup
Nicolas Delfosse
Vedran Dunjko
Hans J. Briegel
N. Friis
86
161
0
20 Dec 2018
A hybrid machine-learning algorithm for designing quantum experiments
A hybrid machine-learning algorithm for designing quantum experiments
L. O'Driscoll
R. Nichols
P. Knott
60
49
0
07 Dec 2018
Designing quantum experiments with a genetic algorithm
Designing quantum experiments with a genetic algorithm
R. Nichols
Lana Mineh
Jesús Rubio
J. Matthews
P. Knott
35
40
0
03 Dec 2018
Measurement-based adaptation protocol with quantum reinforcement
  learning in a Rigetti quantum computer
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
Julio Olivares-Sánchez
J. Casanova
Enrique Solano
L. Lamata
67
38
0
19 Nov 2018
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