awesome-python
Section: Scientific Computing · Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
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Appears in 4 awesome lists
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Section: Scientific Computing · Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Section: Quantum Computing · A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Section: Development Tools · Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
Section: Quantum Computing · A Google-developed framework focused on hardware-aware quantum circuit design for NISQ devices.
Evolutionary computation framework (Genetic Algorithm, Evolution strategies). evol - DSL for composable evolutionary algorithms, talk. platypus - Multiobjective optimization. autograd - Efficiently computes derivatives of numpy code. nevergrad - Derivation-free optimization. gplearn - Sklearn-like…
Python package that lets you download spatial geometries and construct, project, visualize, and analyze street networks from OpenStreetMap's APIs.
Open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives, enabling quantum algorithm development for quantum chemistry, materials science, and optimization research (IBM, 7.4K+ stars, Apache 2.0)
Core library for astronomy and astrophysics in Python. Comprehensive tools for celestial coordinates, FITS I/O, cosmological calculations, and data analysis for professional astronomy. BSD-3-Clause licensed.
Freely available tools for biological computing in Python, with included cookbook, packaging and thorough documentation. Part of the Open Bioinformatics Foundation. Contains the very useful Entrez package for API access to the NCBI databases. [ paper-2009 | web ]
High performance modern C++11 quantum computing library.
Python framework for writing high-performance GPU simulation and graphics kernels with first-class automatic differentiation, enabling differentiable physics, molecular dynamics, soft-body and cloth simulation, robotics, and CFD adjoints compiled to CUDA; serves as the underlying engine for…
Framework for distributed computing on heterogeneous infrastructure from CPUs to GPUs to quantum computers.