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Quantum dynamics latent neural ode

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# QNODE: Learning quantum dynamics using latent neural ODEs

**Learning quantum dynamics using latent neural ODEs**

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

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

https://arxiv.org/abs/2110.10721

## Samples

<img src="gifs/closed-4.gif" width="250" height="250">
<img src="gifs/closed-6.gif" width="250" height="250">
<img src="gifs/open-7.gif" width="250" height="250">
<img src="gifs/open-10.gif" width="250" height="250">

## Latent Dynamics

<img src="gifs/latentdynamsclosed.gif" width="250" height="250">
<img src="gifs/latentdynamsopen.gif" width="250" height="250">

## Interpolations

<img src="gifs/closed interpolate from 235-914.gif" width="250" height="250">
<img src="gifs/open interpolate from 243-269.gif" width="250" height="250">

## 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
```

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`

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