Search Results for "quantum,java" - Page 2
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Showing 37 open source projects for "quantum,java"
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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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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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This project is for particle accelerator start-to-end simulation. The project contains software infrastructure for setting up model run as service/client mode.
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Diamond is a confocal scanner written in python / Qt4. It combines an intuitive gui with flexible hardware abstraction classes. It is directed primarily towards quantum information processing (QIP) with single NV centers in diamond.
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An open source project project to make Quantum Field Theory calculations and demonstrations using python.
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Quantum Monte Carlo algorithms expressed in Python. This code calculates electronic properties of atoms and molecules from first principles.
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QMcBeaver is an object-oriented program to perform Quantum Monte Carlo calculations on atoms and molecules. It is designed to be easy to modify, allowing new ideas to be quickly implemented.
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An interactive tool to study Fourier Series and related physics phenomenons, using open source/free sorftware.
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QPendulum is a python module and a documentation for researcher, students and amateurs who wants to evaluate the Quantum Macroscopic Effects.
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Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.
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CT8K is an experimental quantum chemistry program intended to bring state of the art methods to the desktop PC
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Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
