A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
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Updated
May 30, 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
A platform-agnostic quantum runtime framework
A docker container for quantum machine learning (QML) research
This repository contains the best resources for learning practical quantum computing. This repository will be updated frequently.
Cirq adapter for IQM's quantum computers
Cirq/PyTorch implementation of Quantum Architecture Search via Deep Reinforcement Learning by (Kuo et al., 2021)
Docker images of Quantum Computing frameworks with Jupyter notebooks
Simulating a 1-D Ising chain with compressed quantum matchgates
VQE Dissertation Project
My graduate research paper for Quantum Computation, discussing quantum programming languages and implementing Shor's algorithm in Cirq.
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.
Implementation of a Quantum Fourier Transform on quantum circuit with qiskit and cirq and on Matrix Product States with quimb and personal implementation
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