QBioCode is a suite of computational resources to support quantum applications in healthcare and life science data.

QBioCode has been tested and is compatible with Python versions 3.9, 3.10, and 3.11. While it might work on other versions, these are the officially supported and tested ones.

Getting Started

Prerequisites

Before you can run this project, you need to have python installed on your system. Please follow the documentation provided here.

Apps

The QBioCode framework allows for the development of several applications for analyzing HCLS data. Here is a list of applications developed so far:

• QProfiler utilizes a novel CML and QML model profiling system based on various data complexity measures on the original data as well as linear and non-linear lower-dimensional embeddings of the data. Details can be found here

• QSage guides model selection based on the input data complexity metrics and model performance across various datasets. It allows the user to rank CML and QML models for an unseen dataset.

Authors

Contributors and contact info:

• Bryan Raubenolt ([email protected])
• Aritra Bose ([email protected])
• Kahn Rhrissorrakrai ([email protected])
• Filippo Utro ([email protected])
• Akhil Mohan ([email protected])
• Daniel Blankenberg ([email protected])
• Laxmi Parida ([email protected])