| Qiskit/qiskit |
6,991 |
|
34 |
218 |
2 months ago |
146 |
December 01, 2023 |
932 |
apache-2.0 |
Python |
| Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives. |
| Qiskit/qiskit-metapackage |
3,066 |
|
34 |
182 |
over 2 years ago |
140 |
August 17, 2023 |
0 |
apache-2.0 |
OpenQASM |
| Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules. |
| desireevl/awesome-quantum-computing |
2,244 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
cc0-1.0 |
|
| A curated list of awesome quantum computing learning and developing resources. |
| Qiskit/qiskit-tutorials |
2,203 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| A collection of Jupyter notebooks showing how to use the Qiskit SDK |
| PennyLaneAI/pennylane |
2,022 |
|
10 |
54 |
about 2 years ago |
46 |
November 08, 2023 |
263 |
apache-2.0 |
Python |
| PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. |
| qiskit-community/qiskit-textbook |
847 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| A university quantum algorithms/computation course supplement based on Qiskit |
| JackHidary/quantumcomputingbook |
730 |
|
0 |
0 |
over 2 years ago |
0 |
|
17 |
|
Jupyter Notebook |
| Companion site for the textbook Quantum Computing: An Applied Approach |
| Qiskit/qiskit-aqua |
553 |
|
6 |
6 |
over 4 years ago |
33 |
September 08, 2021 |
10 |
apache-2.0 |
Python |
| Quantum Algorithms & Applications (**DEPRECATED** since April 2021 - see readme for more info) |
| Qiskit/qiskit-aer |
417 |
|
8 |
60 |
about 2 years ago |
43 |
November 24, 2023 |
71 |
apache-2.0 |
C++ |
| Aer is a high performance simulator for quantum circuits that includes noise models |
| CQCL/pytket |
318 |
|
3 |
19 |
about 2 years ago |
70 |
April 11, 2022 |
11 |
apache-2.0 |
Jupyter Notebook |
| User manual and example notebooks for the pytket quantum SDK |