The project combines traditional quantum computing and machine learning techniques in novel ways using: Quantum algorithm simulation: It offers applications for Shore, Grover, and quantum Fourier transform (QFT) algorithms, making it an environment for testing these algorithms with the impact of holographic shielding techniques.
machine-learning quantum-computing tensorflow-experiments quantum-algorithms mlflow ml-engineering ml-platform-workflow holographic-principle decoherence-correction decoherence-mapping qft-ai virasoro-algebra coherence-time-enhancement
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Updated
Jun 17, 2026 - Python