Quantum computers aren’t just powerful calculators—they reveal nature’s hidden secrets. By combining chemical theory, quantum noise characterization, and noise-assisted simulation, we’ve developed innovative algorithms that overcome traditional limits in chemical modeling. Through our demo, we showcase how quantum noise can reproduce  energy transfer in photosynthesis and drive breakthroughs in materials and drug discovery.

This project accurately characterizes noise behavior in IBM-Q superconducting qubits and utilizes quantum chemistry theory with error mitigation techniques to develop novel algorithms executable on today’s quantum computers. We successfully simulate energy transfer in photosynthesis and construct quantum noise models and theoretical frameworks that faithfully reproduce real noise effects observed on IBM-Q quantum processors.

This technology enhances the practical utility of quantum computers in chemistry and materials modeling by improving computational accuracy and stability under noise. It holds industrial potential for applications in drug discovery, green energy materials design, and quantum software validation.