simulation_check.py
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Updated
Jul 11, 2026 - Python
simulation_check.py
A high-performance Quantum QCAD engine that uses Numba-JIT acceleration to map the "Sweet Spot" where algorithmic complexity meets physical noise. Unlike bloated enterprise kits, it provides a transparent, low-level look at how T_1 and T_2 decay shift the optimal depth of NISQ algorithms.
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.
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