A Transferable Machine Learning Approach to Predict Quantum Circuit Parameters for Electronic Structure Problems

Davide Bincoletto, Korbinian Stein, Jonas Motyl +1

The individual optimization of quantum circuit parameters is currently one of the main practical bottlenecks in variational quantum eigensolvers for electronic systems. To this end…