Los Alamos National Laboratory
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quantum_algorithms
quantum_algorithms PublicCodes accompanying the paper "Quantum algorithm implementations for beginners"
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pyxDamerauLevenshtein
pyxDamerauLevenshtein PublicpyxDamerauLevenshtein implements the Damerau-Levenshtein (DL) edit distance algorithm for Python in Cython for high performance.
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- ML-Shock-Time-Series-Synthesis Public
Open-source machine learning tools for GPU-batched synthetic shock time-series generation, GPU-accelerated batched Shock Response Spectrum (SRS) computation, and standardized benchmark datasets.
- PyBNF Public
An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.
- ARIADNE Public
The code ARIADNE performs uncertainty quantification of experimental data for nuclear data. It also performs nuclear data evaluations with the algorithm generalized squares.
- BEE Public
- qhat Public
Quantum Hamiltonian Analysis Toolkit for studying quantum computing algorithms applied to Hamiltonian simulation or related topics
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- mcts-materials Public
A Monte Carlo Tree Search (MCTS) implementation for discovering and optimizing stable intermetallic crystal structures containing uranium and f-block elements by iteratively exploring chemical space guided by formation energies and thermodynamic stability metrics from MACE energy calculations.
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