Skip to content

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Latest commit

 

History

6 Commits

Folders and files

Repository files navigation

quantum-ml


This is an experiment in implementing variational quantum circuits for MNIST Handwritten Digit classification.


Binary classification of 0 and 1 digits:

Loss function of VQC:

image

Train Error: 0.714286%

Test Error: 0.75%

Weights: 'vqc_weights.pt'


Multiclass VQC:

image

Train Error: 18.9%

Test Error: 18.2%

Weights: 'vqc_weights_2.pt'


Ridge regression on whole dataset:

Train Error: 12.8571%

Test Error: 14.25%


This code is a part of Qiskit

© Copyright IBM 2017, 2022.

This code is licensed under the Apache License, Version 2.0. You may obtain a copy of this license in the LICENSE.txt file in the root directory of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.

Any modifications or derivative works of this code must retain this copyright notice, and modified files need to carry a notice indicating that they have been altered from the originals.

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages