A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
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Updated
Aug 23, 2024 - Python
A Python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Companion site for the textbook Quantum Computing: An Applied Approach
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
Study resources for learning quantum computing
This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
A docker container for quantum machine learning (QML) research
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
Cirq adapter for IQM's quantum computers
VQE Dissertation Project
Using Quantum Machine Learning for effective dynamic pricing models
My session about TensorFlow Quantum to build hybrid quantum-classical models at TensorFlow User Group Mysuru 2020
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
This repository contains my bachelor Thesis on quantum computing programming languages
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