Molecular Geometry Generation Processes Through Hybrid Quantum-Classical Generative Adversarial Networks and Python-Based Self-Consistent Field Molecular Calculations-Reference-Cited by-同舟云学术

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Molecular Geometry Generation Processes Through Hybrid Quantum-Classical Generative Adversarial Networks and Python-Based Self-Consistent Field Molecular Calculations

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Cui Max¹,Chau Adelina²,Pan Michelle³,Vaiyakarnam Vaibhav³,McMahan Larry⁴

Affiliation:

1. Sir Winston Churchill Secondary School,Vancouver,Canada

2. Archbishop Mitty High School,San Jose,USA

3. The Quarry Lane School,Dublin,USA

4. Aspiring Scholars Directed Research Program,Fremont,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313590/10313594/10313850.pdf?arnumber=10313850

Reference8 articles.

1. Näherungsmethode zur Lösung des quantenmechanis-chen Mehrkörperproblems;vladimir;Zeitschrift für Physik,1930

2. Gaussian-Type Orbitals versus Slater-Type Orbitals: A Comparison

3. Enumeration of 166 Billion Organic Small Molecules in the Chemical Universe Database GDB-17

4. PySCF: the Python-based simulations of chemistry framework;qiming;Wiley Interdisciplinary Reviews Computational Molecular Science,2018

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