Skip to main content

NYUAD-Hackathon-Team1

QS Pirates

📌 QvsPy

We are developing a quantum sensor simulator for virus detection. Quantum Sensors have been used to increase Covid-19 detection accuracy. Such an outcome has the potential to decrease the trajectory of the pandemic, potentially decreasing numbers of deaths and patients. Our project aims to extend the benefit of high acccuracy of virus detection through quantum sensing to all viruses through creating a library for researchers to use to detect the presence of viruses in input data. Having a simulator of the quantum sensor instead of the full quantum sensor hardware to detect the presence of viruses can save researchers time, effort, and the expense of materials. On a macroscale, the global community benefits from this as the increased accessibility for researchers to understand life-threatening viruses can lead to the increased quality of the global community's health.

📌 Files in repo:

  • Quantum-Sensing-Simulator.ipynb: quantum sensor simulator1

📌 How to run:

pip install -r requirements.txt

📌 Our Presentation:

Google Slide

⭐ Our Team:

Ashith, Genie, Zayd, Phillip, China, Dania, Jakub and Sakib.

Mentors: Nouhaila Innan & Victory Omole

References

  1. Danilin, S., and M. Weides. "Quantum sensing with superconducting circuits." arXiv preprint arXiv:2103.11022 (2021). ↩

Metadata

Release files for QvsPy 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for QvsPy 0.0.3
File Size Uploaded Provenance
QvsPy-0.0.3.tar.gz 2.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for QvsPy 0.0.3
File Interpreter ABI Platform
QvsPy-0.0.3-py3-none-any.whl Python 3 none any Details

Total release size: 6.0 kB

Release files / QvsPy-0.0.3.tar.gz

Download URL QvsPy-0.0.3.tar.gz
Size 2.9 kB
Tags Source
SHA-256 checksum
How to use checksums
e27f33cb46a18ea2da7615488af95d92827048c07bc9c8de3834b1978da894f2
BLAKE2b-256 checksum
How to use checksums
c71eda46eab65579d38558b725a69560a589abaea49171c157d3caf365e80607
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12

Release files / QvsPy-0.0.3-py3-none-any.whl

Download URL QvsPy-0.0.3-py3-none-any.whl
Size 3.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ea40708c4fb24b464a67ac0f51b1c2c10d43ab191d76ccd75dcddee65b195009
BLAKE2b-256 checksum
How to use checksums
fb961ffa072d0a2c7791e9e3bea2245b9680c8bb27030c0fd0cbc4f774c60fb0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.0 CPython/3.9.12

Security for QvsPy 0.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Release history Release notifications | RSS feed

This release

0.0.3 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page