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Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits on physical hardware and simulators. It functions as a quantum algorithm framework, a circuit simulator, and a vendor-agnostic hardware interface for dispatching workloads across diverse providers. The project features a quantum circuit transpiler that optimizes abstract designs to match the specific basis gates and qubit connectivity of target hardware. It employs a pass-based transpilation pipeline and symbolic instruction translation to convert high-level circuits into hard
Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy Intermediate-Scale Quantum (NISQ) hardware. It serves as a quantum circuit simulator and noise modeler, as well as a tool for the implementation of quantum algorithms. The framework provides a specialized interface for NISQ hardware, allowing users to map logical quantum circuits to physical device topologies while validating hardware connectivity and gate constraints. It distinguishes itself through integrated noise modeling, applying depolarizing and damping channels to mimic
This is a machine learning educational repository consisting of a collection of notebooks and code examples. It provides practical implementations of diverse machine learning algorithms and workflows, ranging from traditional scientific computing to deep learning. The project features specific implementations of Scikit-Learn models, such as decision trees, random forests, and support vector machines, as well as TensorFlow examples for building neural networks, convolutional layers, and recurrent architectures. It also includes tutorials on reinforcement learning development and the creation o
QuantumKatas is a set of quantum computing courseware and educational assets designed to teach the Q# programming language and quantum computing principles. It combines structured tutorials and coding tasks with interactive notebooks and a dedicated unit testing suite to validate the correctness of exercise implementations. The project provides a dockerized learning environment that packages all necessary tools and dependencies into a virtual image. This allows for the execution of quantum programming exercises without the need for local software installation. The curriculum covers qubit man
This project is a quantum computing educational resource and implementation library. It provides a collection of interactive notebooks and guides designed for learning quantum programming, developing algorithms, and simulating quantum circuits.
The main features of qiskit/qiskit-tutorials are: Quantum Computing, Quantum Circuit Design, Algorithm Implementation Examples, Educational Code Notebooks, Pulse-Level Control, Hardware-Agnostic Execution, Quantum Circuit Transpilation, Pass-Based Optimizations.
Open-source alternatives to qiskit/qiskit-tutorials include: qiskit/qiskit — Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits… quantumlib/cirq — Cirq is a Python quantum computing framework used for designing, simulating, and executing quantum circuits on Noisy… ageron/handson-ml — This is a machine learning educational repository consisting of a collection of notebooks and code examples. It… microsoft/quantumkatas — QuantumKatas is a set of quantum computing courseware and educational assets designed to teach the Q# programming… atcold/nyu-dlsp20 — NYU-DLSP20 is a self-paced deep learning course repository that provides a complete educational curriculum covering… chipsalliance/chisel — Chisel is a hardware construction language and description tool used to define digital circuits. It functions as a…