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

Tensor network based quantum software framework for the NISQ era

⚛️ 👨‍🏫 📚 A two-week intensive Summer School on Quantum Computing from IBM Quantum, using mostly the features of the IBM's Qiskit library. In this Summer School, were lectured topics on basics of Quantum Information, Quantum Entanglement, Quantum Algorithms, Quantum Error Mitigation, among many others.

libs_qrem is a python package written in C++/Cython that executes quantum readout error mitigation (QREM) efficiently even for large measurement results.

This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"

Awesome Quantum Error Mitigation

Algorithms for error mitigation on NISQ devices

Implementation of the paper Quantum Error Mitigation by Pauli Check Sandwiching. The scheme was first explored by the paper Extended flag gadgets for low-overhead circuit verification. Adds Pauli parity checks to the input quantum circuit.

⚛️ 🚀 👽 A self-paced, game-based Quantum Computing learning program for students, researchers and enthusiasts. This program offers a general understanding of Quantum Computing, as well as some of its applications, such as Quantum Machine Learning and Quantum Optimization, and how to program real quantum computers.

Machine Learning for Quantum Error Mitigation on gate-based NISQ devices

This is a portion of code related to Joint Mitigation of Quantum Gate and Measurement Errors via the Z-mixed-state Expression of the Pauli Channel.

Implementation in qiskit of different error mitigation algorithms

An implementation of the Clifford data regression error mitigation method in Qiskit.

Generates Pulse Sequences using Walsh Functions for selective interactions among qubits whose dynamics is modeled by the XY Hamiltonian.

Quantum Error Mitigation: using Machine Learning This project demonstrates quantum error mitigation techniques using machine learning to improve the reliability of quantum computations in noisy quantum computers. The main goal is to mitigate measurement errors that occur during quantum computation.

My scientific research trying to create the most realiable quantum computation using Qiskit 1.0 and other techniques for superconducting quantum computers

Quantum Error Correction (QEC) is a critical step in implementing quantum computing at scale. We implement an algorithm and show it successfully reduces noise in various quantum circuits.