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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
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Deep Tensor Neural Network
The main features of atomistic-machine-learning/dtnn are: Atomistic Machine Learning, Quantum Development Frameworks.
Projects with overlapping indexed features include: qiskit/qiskit — Qiskit is a quantum computing software development kit used for designing, simulating, and executing quantum circuits… adgt/qonduit. agnostiqhq/covalent — Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute… atomistic-machine-learning/schnetpack — SchNetPack is a toolbox for the development and application of deep neural networks to the prediction of potential… aviggiano/qcl. adgt/pyquirk.