mfcornelio's Stars
ragero/topicos_inteligencia_artificial_2_2020
qiskit-community/ibm-quantum-challenge-2024
For IBM Quantum Challenge 2024 (5-14 June 2024)
FilipeChagasDev/dlqpiler
DLQpiler is a compiler of the DLQ language (Declarative Language for Quantum)
scipy-lectures/scientific-python-lectures
Tutorial material on the scientific Python ecosystem
Qiskit/qiskit-addon-cutting
Reduce width and depth of quantum circuits by cutting gates and wires.
iiscphy354/computational-physics
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
haulek/CompPhysics
Computational Physics codes
qiskit-community/ibm-quantum-challenge-spring-2023
For IBM Quantum Challenge Spring 2023
XanaduAI/qhack_2023_coding_challenges
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
XanaduAI/QHack2023
QHack 2023
quantumjim/qec_lectures
microsoft/QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
Quantum-Computing-Cooperation/6.s089-Intro-to-Quantum-Computing
Quantum computation is a growing field at the intersection of physics, computer science, electrical engineering, and applied math. This course provides an introduction to the basics of quantum computation. Specifically, we will cover some fundamental quantum mechanics, survey quantum circuits, and introduce the most significant quantum algorithms. Furthermore, we will survey advanced topics towards the end of the course. In the past, these topics have included quantum error correction, quantum communication, and applications to fields ranging from machine learning to chemistry. This course is self-contained and does not require any prior knowledge of quantum mechanics.
Scinawa/quantumalgorithms.org
This is the repository for https://quantumalgorithms.org