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A Python application by QxBranch for running Quantum Feature Detectors

Project description

Overview

QxBranch’s Quantum Feature Detector (QxQFD) is a Python library providing a configurable class of quantum machine learning functions. It provides a simple interface for using quantum transformations to detect features in data as part of a machine learning application stack, on Rigetti’s QCS.

Requirements

QxQFD requires the following Python packages:

  • Python 3.6
  • Pyquil 2.0.0
  • numpy
  • matplotlib
  • scikit-learn
  • networkx

QxQFD officially supports Linux 18.04.

Usage

QxQFD can be used with a Rigetti Forest QMI, or a local machine running the Forest SDK QVM.

Included with QxQFD are three demonstration notebooks providing examples of the library’s use. They can be found in the ‘demo’ folder. The CIFAR-10 data required for the third notebook can be found at https://www.cs.toronto.edu/~kriz/cifar.html.

Documentation

Complete documentation is available on QxBranch’s website at https://www.qxbranch.com/manuals/quantum_feature_detector.

At this address you can also find some demonstration iPython notebooks.

About QxBranch

QxBranch is a quantum computing and data analytics software company founded in 2014, based in Washington DC with offices in London, UK, and Adelaide, Australia. QxBranch specializes in the development of quantum computing software and data analytics services. To learn more about QxBranch, visit https://www.qxbranch.com.

License

Copyright 2018 QxBranch, Inc.

Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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