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amazon-braket-examples

Example notebooks that show how to apply quantum computing in Amazon Braket.

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

bloqade-python

Bloqade SDK for Python

bloqade.jl

Package for the quantum computation and quantum simulation based on the neutral-atom architecture.

boto3

AWS SDK for Python

botocore

The low-level, core functionality of boto3 and the AWS CLI.

cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

classical-rc

Implementations of classical reservoir computing and echo-state network models.

command-line-checkers

Checkers with AI.

docs

haqs-2022

Repository containing challenges for the qBraid HAQS 2022 quantum computing hackathon.

mancala

Simulator for Mancala

mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.

qbraid

A Python toolkit for cross-framework abstraction, transpilation, and execution of quantum programs.

qbraid-lab-demo

Notebooks demonstrating how to use the qBraid SDK and qBraid CLI to interface with various various quantum softwares and backends.

qbraid-qiskit-challenge

qchack-2021-challenge

The <G|oogl|e> challenge for Quantum Coalition Hackathon 2021

qir-book

Documentation/Examples for the QIR community

qiskit-braket-provider

Qiskit-Braket provider to execute Qiskit programs on AWS quantum computing hardware devices through Amazon Braket.

qiskit-qasm3-import

Importer from OpenQASM 3 to Qiskit's QuantumCircuit

qosf_cohort6

Project on studying QECC and Error-mitigation and benchmarking them using Cirq

quantum-variational-classifier

Implementations of quantum variational classifier and quantum kernel estimator proposed in Havlíček, V., Córcoles, A.D., Temme, K. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019). https://doi.org/10.1038/s41586-019-0980-2

radio-astronomy

Radio frequency interference classification via convolutional neural network.

ryanhill1

semiconductor-physics

Plot reproductions from Fadaly et al. 2020 article "Direct-bandgap emission from hexagonal Ge and SiGe alloys." https://rdcu.be/b3WFn

tetris_game

A Tetris Game with AI

time-dep-schro

Solving the time dependent Schrödinger equation using the Crank-Nicolson method