My examples of Quantum Computing

Started Nov 5th, 2020

version 0.0.1

This github is at:

https://github.com/hpssjellis/my-examples-for-quantum-computing

This Repo website is at:

https://hpssjellis.github.io/my-examples-for-quantum-computing/public/index.html

Gitpod of this Github

(right click open in new window, needs you to have a github login) https://gitpod.io/#github.com/hpssjellis/my-examples-for-quantum-computing

or load a pre-made snapshot (faster to load but older) Made Nov 23th, 2020

latest

Awesome reference https://github.com/ghellstern/awesome-quantum-machine-learning

Batch of tweets:

https://twitter.com/rocksetta/status/1312604679017099271?s=19

As of Nov10th, I am now concentrating on https://pennylane.ai/

PennylaneAI github at https://github.com/PennyLaneAI/PennyLane

PennylaneAI qml github at https://github.com/PennyLaneAI/qml

PennyLaneAI Interactive Strawberry fields https://strawberryfields.ai/interactive/

Installation

my work is in the Rocksetta folder

rocksetta

python3 file.py

pennylaneAI QML demos now works

When the gitpod is running go the the folder pennylanai --> qml-demos and run

python3 tutorial-filename.py

The folder is at pennylaneai/qml-demos/

Demos

these examples were for Tensorflow Quantum which still work, but I am now working in the Pennylane folder

run the examples by going to the apropriate folder and typing "python3 file.py" such as

python3 a01-mnist-small.py

Testing to see if these work: Mnist full should take about 20 min or more.

python3 a02-mnist-full.py

Testing

python3 a03-gradients.py
python3 a04-hello-many-worlds.py
python3 a05-qcnn.py

Note: a tf.keras.utils.plot_model command is not working, for the last 2 programs hello and qcnn. I will be looking into it.

To make the above python program I converted the ipython notebook by opening up the folders quantum --> docs --> tutorials and typing

jupyter nbconvert --to script mnist.ipynb

It will output mnist.txt and you can change it to mnist.py. A few of the first commands need to be changed.

Resources

dwave

dwavesystems
https://www.dwavesys.com/

Login to dWave Leap
https://cloud.dwavesys.com/leap/login/

dWave Community
https://support.dwavesys.com/hc/en-us/community/topics

TFQ Tensorflow Quantum

https://www.tensorflow.org/quantum/overview

Mnist Google collab

https://www.tensorflow.org/quantum/tutorials/mnist

https://colab.research.google.com/github/tensorflow/quantum/blob/master/docs/tutorials/mnist.ipynb

IBM Quantum

IBM actual quantum computer. This is live and easy to use!!!

https://www.ibm.com/quantum-computing

Symbols Explained https://quantum-computing.ibm.com/docs/iqx/operations-glossary

Simulators:

https://quantumjavascript.app/

First Issue. Q.js is a playground, can't seem to figure out how to make my own javascript pages

https://raw.githubusercontent.com/stewdio/q.js/master/build/q.js

https://github.com/stewdio/q.js

Click on the image to be able to zoom

Something interesting at https://github.com/google/jax but I have not yet found out if JAX will be useful for me.

pip3 install jax

git clone https://github.com/google/jax.git