scholarly journals A Jeziorski-Monkhorst fully uncontracted multi-reference perturbative treatment. I. Principles, second-order versions, and tests on ground state potential energy curves

2017 ◽  
Vol 146 (22) ◽  
pp. 224108 ◽  
Author(s):  
Emmanuel Giner ◽  
Celestino Angeli ◽  
Yann Garniron ◽  
Anthony Scemama ◽  
Jean-Paul Malrieu
1978 ◽  
Vol 68 (4) ◽  
pp. 1942-1950 ◽  
Author(s):  
Arnold M. Karo ◽  
Maureen A. Gardner ◽  
John R. Hiskes

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 828
Author(s):  
Rongxin Xia ◽  
Sabre Kais

We present a hybrid quantum-classical neural network that can be trained to perform electronic structure calculation and generate potential energy curves of simple molecules. The method is based on the combination of parameterized quantum circuits and measurements. With unsupervised training, the neural network can generate electronic potential energy curves based on training at certain bond lengths. To demonstrate the power of the proposed new method, we present the results of using the quantum-classical hybrid neural network to calculate ground state potential energy curves of simple molecules such as H2, LiH, and BeH2. The results are very accurate and the approach could potentially be used to generate complex molecular potential energy surfaces.


2003 ◽  
Vol 119 (17) ◽  
pp. 9008-9020 ◽  
Author(s):  
Linda Thiel ◽  
Hartmut Hotop ◽  
Wilfried Meyer

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