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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.

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.

...Features Multi-instrument Support: Process both MIRI and NIRCam data Background Matching: Automatic background leveling across exposures Cosmic Ray Rejection: Advanced cosmic ray identification and removal Seamless Mosaicking: Create continuous field mosaics from dithered observations Source Extraction: Generate segmentation maps and source catalogs Calibration-ready: Works with JWST pipeline products (_cal.fits, _rate.fits) Memory Efficient: Handles large JWST datasets efficiently Installation Prerequisites Python 3.8 or higher JWST calibration pipeline 4GB+ RAM recommended for large mosaics Quick Install git clone https://github.com/tlcagford/JWST-Merge cd JWST-Merge pip install -r requirements.txt

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...