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Quantum Challenge Resources

  • Getting Started

    Element - Join the Element community space to connect and form teams.

    Project Proposals - team leaders should submit their project proposals using the instructions here.

  • Orientation Modules

    Please familiarize yourself with the tools and concepts which you will need to deliver a project for this challenge. You will need to create a GitHub account to submit your project until the deadline. In addition to git, we also recommend that you familiarize yourself with Markdown syntax if this is new to you.

  • Quantum Computing

    Introduction

    The prospects of quantum computing in computational molecular biology

    Unitary Foundation 2024 Quantum Open Source Survey

    Quantum Computing Packages and Simulators

    Qiskit

    pennylane

    Cirq

    cuQuantum

    The Walrus

    Strawberry Fields

    pytket

    qrisp

    amazon-braket-sdk

    Quantum-inspired Computing

    Simulated Annealing

    Simulated Annealing via GPU-pSAv

    Quantum Annealing via QuantRS2

    Sampling

    Quantum sampling problems, BosonSampling and quantum supremacy

    Sampling Problems on a Quantum Computer

    Quantum Circuits for the Metropolis-Hastings Algorithm

    Quantum Computing for Clinical Research

    Quantum computing for clinical research

    How can quantum computing be applied in clinical trial design and optimization?

    Quantum Clinical Trial Optimization Challenge Winner Presentations – Presented by Ingenii & Aqora

  • Python

    Programming expertise is not required, but at least beginner Python programming experience is recommended for participation in code-focused projects of the hackathon. For those looking for a brief, interactive refresher on Python programming, see the GitHub Classroom assignment from the first section on this page. For those without prior Python experience, we recommend you complete an introductory Python course in preparation for the hackathon. Some resources are listed below:

    Python for Everybody by University of Michigan Learn Python 3 by CodeAcademy
    Intro to Python Programming for Materials Engineers Python Beginners Guide for Programmers by Python Software Foundation
    The Python Workshop by Packt

    If you have no prior programming experience, you may wish to start with the Python Beginners Guide for Non-programmers by Python Software Foundation.

    What is Python?

    What is Python?

  • Quantum Computing Tools/Packages

    Use of the tools listed on this page is not a requirement. A diverse set of packages and implementations is encouraged. Likewise, multiple teams using the same package is not a problem, in part because implementations can remain private during the course of the challenge and since solutions will still vary considerably. If you would like to see a specific tool listed here, please navigate to the “Improve this page” link at the bottom of the page and open a pull request.

  • QuTip

    QuTip

    QuantumToolbox.jl

  • OpenACC

    OpenACC

    OpenACC and Cuda for Beginners

    OpenACC: More Science Less Programming

  • quimb

    quimb

    Introducing matrix product states for quantum practitioners

    Simulating quantum circuits with tensor networks

    Qiskit Quimb Simulator

    Tensor Network Quantum Virtual Machine for Simulating Quantum Circuits at Exascale

Quantum Innovation Challenge

Quantum-Innovation-Challenge
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