首页|Southeast University Reports Findings in Machine Learning (Machine Learning Acce lerates Precise Excited-State Potential Energy Surface Calculations on a Quantum Computer)

Southeast University Reports Findings in Machine Learning (Machine Learning Acce lerates Precise Excited-State Potential Energy Surface Calculations on a Quantum Computer)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Nanjing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Electronicallyexcite d-state problems represent a crucial research field in quantum chemistry, closel y related tonumerous practical applications in photophysics and photochemistry. The emerging of quantum computingprovides a promising computational paradigm t o solve the Schrodinger equation for predicting potentialenergy surfaces (PESs) .”

NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.11)