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https://github.com/aspuru-guzik-group/qnode

Quantum dynamics latent neural ode

https://github.com/aspuru-guzik-group/qnode

Science Score: 67.0%

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    Found 1 DOI reference(s) in README
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    Links to: arxiv.org, aps.org
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    1 of 2 committers (50.0%) from academic institutions
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    Organization aspuru-guzik-group has institutional domain (aspuru.chem.harvard.edu)
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    Low similarity (5.7%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Quantum dynamics latent neural ode

Basic Info
  • Host: GitHub
  • Owner: aspuru-guzik-group
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 171 MB
Statistics
  • Stars: 20
  • Watchers: 7
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Created almost 5 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License

README.md

QNODE: Learning quantum dynamics using latent neural ODEs

Learning quantum dynamics using latent neural ODEs

Matthew Choi, Daniel Flam-Spepherd, Thi Ha Kyaw, Aln Aspuru-Guzik

https://journals.aps.org/pra/abstract/10.1103/PhysRevA.105.042403

https://arxiv.org/abs/2110.10721

Samples

Latent Dynamics

Interpolations

Prerequisites

| command | min. version | |:-:|:-:| | torchdiffeq | 0.0.1 | | numpy | 1.17.4 | | Pytorch | 1.4.0 | | QuTip | 4.6.2 | | matplotlib | 3.4.3 | | scikit-learn | 0.23.1 | | imageio | 2.6.1 |

Training Models

run python3 train.py

To train a model with different hyperparameters: | command | argstype | meaning | |:-:|:-:|:-:| | --seed | int | the torch and numpy random seed | | --epochs | int | numbers of iterations the model will run | | --type | str | either the open or closed dataset | | --obsdim | int | input dimensions | | --rnnnhidden | int | rnn layer size | | --nhidden | int | decoder layer size | | --latent_dim | int | latent space size | | --lr | float | learning rate |

Example: python3 train.py --seed 1 --epochs 5000 --lr 5e-3 --type closed

Generating Results

run ./create_plots.sh Note: you might have to run chmod +x create_plots.sh

Owner

  • Name: Aspuru-Guzik group repo
  • Login: aspuru-guzik-group
  • Kind: organization

GitHub Events

Total
  • Watch event: 2
Last Year
  • Watch event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 15
  • Total Committers: 2
  • Avg Commits per committer: 7.5
  • Development Distribution Score (DDS): 0.2
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Matthew Choi m****i@m****a 12
Thi Ha Kyaw 4****y 3
Committer Domains (Top 20 + Academic)
mail.utoronto.ca: 1

Dependencies

environment.yml conda
  • fvcore 0.1.5.*
  • imageio
  • iopath 0.1.9.*
  • matplotlib 3.5.0.*
  • pandas 1.3.5.*
  • pytest 6.2.5.*
  • python 3.9.7.*
  • pytorch 1.10.0.*
  • qutip
  • scikit-learn
  • torchdiffeq
  • torchvision 0.11.1.*