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2109.02490
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Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
6 September 2021
Daniel Flam-Shepherd
Tony C Wu
Xuemei Gu
Alba Cervera-Lierta
Mario Krenn
Alán Aspuru-Guzik
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Papers citing
"Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models"
7 / 7 papers shown
Title
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces
Zhu Liang
Matthew R. Carbone
Wei Chen
Fanchen Meng
Eli Stavitski
D. Lu
M. Hybertsen
Xiaohui Qu
13
7
0
11 Jan 2023
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
33
186
0
04 Apr 2022
SELFIES and the future of molecular string representations
Mario Krenn
Qianxiang Ai
Senja Barthel
Nessa Carson
Angelo Frei
...
Andrew Wang
Andrew D. White
Adamo Young
Rose Yu
A. Aspuru‐Guzik
35
148
0
31 Mar 2022
Learning quantum dynamics with latent neural ODEs
M. Choi
Daniel Flam-Shepherd
T. Kyaw
A. Aspuru‐Guzik
BDL
AI4CE
32
5
0
20 Oct 2021
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti
Alba Cervera-Lierta
T. Kyaw
Tobias Haug
Sumner Alperin-Lea
...
Tim Menke
Wai-Keong Mok
Sukin Sim
L. Kwek
Alán Aspuru-Guzik
106
390
0
21 Jan 2021
Quantum Optical Experiments Modeled by Long Short-Term Memory
Thomas Adler
Manuel Erhard
Mario Krenn
Johannes Brandstetter
Johannes Kofler
Sepp Hochreiter
21
9
0
30 Oct 2019
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
224
1,340
0
12 Feb 2018
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