ElePT/qiskit-ibm-runtime
IBM Client for Qiskit Runtime.
IBM Client for Qiskit Runtime.
Mapping combinatorial optimization problems to quantum computers
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.
Qiskit Experiments
The documentation content home for https://docs.quantum.ibm.com.
A programming model for leveraging quantum and classical resources
A high performance Python graph library implemented in Rust.
A collection of guidelines to run quantum optimization algorithms on superconducting qubits with Qiskit, using as reference the Quantum Approximate Optimization Algorithm (QAOA) workflow.
Quantum Machine Learning
Aer is a high performance simulator for quantum circuits that includes noise models
An integration test suite for Qiskit
Tools to control cold-atom-based quantum simulators and quantum computers.
Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators
RFCs for changes to Qiskit
Qiskit implementation of the single qubit quantum neural network from Pérez-Salinas et al.
Quantum Nature
The Sphinx theme for the Qiskit documentation.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
A repo to keep track of the current WIP in refactoring qiskit machine learning with primitives
Quantum Optimization