Showing 6 open source projects for "quantum programming framework"

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  • 1
    CommandCentre

    CommandCentre

    Command Centre

    ...Additionally, the Performer libraries have been abandoned by Silicon Graphics. Minor setup- and make reconfiguration bugs, no changes planned. The Command Centre is a Simulation Programming Framework for advanced Command and Control Simulators on Linux/Windows using C/C++ and Java. The Framework integrates with Leading Tools like Visual Paradigm (UML), Net Beans 7.0 (Java), and Code Warrior (C/C++). The codebase supports building Heterogenous Command and Control Consoles and Accelerated User Attached Audiovisuals. ...
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  • 2

    InfoSim

    A Java Framework for Simulating Information Theory Concepts

    This is a Java Framework which allows to design and simulate Channels, Cryptography algorithms, Coding algorithms, Noise analysis, Information sources and destinations, etc. It supports both Classical and Quantum Information Theory fields. It also allows to design a new Information Scheme from scratch. It has a big Math library which supports Abstract and Linear Algebra objects e.g Hilbert spaces.
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  • 3
    Extensible framework that enables productive design, analysis, and execution of arbitrary-sized neural-networks or system on a distributed, scalable, high-throughput runtime platform. Enables synapse-oriented-programming.
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  • 4
    The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
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    Downloads: 167 This Week
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  • 5
    Middlesim is a light-weight HLA simulation middleware framework. Providing relief from many of the annoying programming “features” of the HLA, it provides a simplified API that is both concise and easy to use.
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  • 6

    CoSimA+

    The Co-Simulation Adaptation Platform

    The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.
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