Search Results for "python framework"
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Showing 11 open source projects for "python framework"
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AL Mobile | Construction and Field Service Management Tracking SoftwareTrack your Users and Employees Easily. With a new graphical interface, you have an overview of all the data synced by your users directly from your screen.
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User-friendly software for hybrid working and hot desking in your organisation.Efficient workspace management FlexWhere, a Dutchview application, is a convenient software application for organizations that work flexibly. These organizations employees do not have a fixed workspace. Using FlexWhere, they find out quickly and easily which flex places and meeting rooms are free and where their colleagues are located. The information can be viewed on a display, desktop or laptop. By using the mobile app, FlexWhere can even be consulted outside the office on a tablet or phone. More and more organizations are working with flexible workplaces. That is opening up all kinds of possibilities, but is also raising questions such as: ‘How do I know where there is a free workplace?’, ‘Where can I find the colleague I need?’, ‘Is there a conference space available on this floor?’. FlexWhere answers those questions, so it is ideal for supporting (the transition to) flexible work.
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BQSKit
Berkeley Quantum Synthesis Toolkit
The Berkeley Quantum Synthesis Toolkit (BQSKit) [bis • kit] is a powerful and portable quantum compiler framework. It can be used with ease to compile quantum programs to efficient physical circuits for any QPU. A standard workflow utilizing BQSKit consists of loading a program into the framework, modeling the target QPU, compiling the program, and exporting the resulting circuit. -
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Tequila
A High-Level Abstraction Framework for Quantum Algorithms
Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices. -
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Cirq
A python framework for creating, editing, and invoking NISQ
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators. -
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QPanda 2
QPanda 2 is an open source quantum computing framework
QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services. -
Secure Your Containers with ChainguardChainguard Secure Containers — Spend less time patching vulnerabilities and more time building software that innovates. Secure, CVE-free OSS that empowers teams to build the future instead of patch the past.
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Perceval
An open source framework for programming photonic quantum computers
An open-source framework for programming photonic quantum computers. Through a simple object-oriented Python API, Perceval provides tools for composing circuits from linear optical components, defining single-photon sources, manipulating Fock states, running simulations, reproducing published experimental papers and experimenting with a new generation of quantum algorithms. -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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PDP-OmniSim
PDP-OmniSim simulating parallel and distributed processing systems
PDP-OmniSim 🧬 Scientific Overview PDP-OmniSim is an advanced computational framework for simulating parallel and distributed processing systems, with cutting-edge applications in computational neuroscience, distributed computing, and complex systems modeling. The framework provides researchers with robust tools for large-scale simulations of networked systems and their emergent behaviors. 🎯 Key Scientific Contributions 🔬 Interdisciplinary Research Domains Computational... -
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Photon-DarkPhoton-Entanglement
This repository contains the complete code and data for studying primo
Build Status License: Dual License ) Python Stars Issues Last Commit Repo Size updated_readme.md Primordial Photon–Dark Photon Entanglement A research and analysis framework for testing the Photon–Dark Photon Entanglement Hypothesis, analyzing astronomical imaging data, and generating reproducible physics validation results using HST, JWST, and other observatory FITS products -
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Paddle Quantum
Paddle Quantum
Paddle Quantum (量桨) is the world's first cloud-integrated quantum machine learning platform based on Baidu PaddlePaddle. It supports the building and training of quantum neural networks, making PaddlePaddle the first deep-learning framework in China. Paddle Quantum is feature-rich and easy to use. It provides comprehensive API documentation and tutorials help users get started right away. Paddle Quantum aims at establishing a bridge between artificial intelligence (AI) and quantum computing... -
Cycloid: Hybrid Cloud DevOps collaboration platformEnable your developers to do their best work and increase time-to-market speed with a leading DevOps and Hybrid Cloud platform.
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ProjectQ
An open source software framework for quantum computing
ProjectQ is an open-source effort for quantum computing. It features a compilation framework capable of targeting various types of hardware, a high-performance quantum computer simulator with emulation capabilities, and various compiler plug-ins. -
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A python package that allows scientists to easily create configurable and reusable experiments. Intended for use with the LabRAD framework. Developed by the Haeffner group studying quantum simulation at UC Berkeley. Wiki at lrexp.wikispaces.com
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