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C++ and Python support for the CUDA Quantum programming model
CUDA-Q is an open-source platform for developing hybrid quantum-classical applications using a unified programming model across CPUs, GPUs, and quantum processing units. It provides a full toolchain that includes compilers, runtimes, and libraries for writing quantum programs in both C++ and Python. The platform is designed to be hardware-agnostic, allowing developers to run applications on different quantum backends or simulate them efficiently using GPU acceleration when physical quantum...
An open source circuit simulator for power electronics applications. The objective is to provide a platform that will enable an advanced user to simulate large systems with several converters without being an excessive burden on the CPU.
...It has been applied to simulate different types of particles: for example antiprotons, positrons, 39K+ , highly charged ions, negatively charged particles.
Simbuca also has been applied to simulate Penning/Paul traps, Mr-TOFs, RFQs, ...
More info on the wiki: https://sourceforge.net/p/simbuca/wiki
An experimental ISS for freescale's e500v2 core. It is meant to simulate only cpu and memory subsystem and is purely intended for academic/learning purposes only.
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