2 citations · 2 across the 3 of their papers we have counts for
3 papers
A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems
Lucas van der Horst, Maniraman Periyasamy, Abhishek Y. Dubey +3
Variational quantum eigensolver ansätze hold considerable promise for ground-state energy calculations on near-term quantum hardware, yet most promising ansatz designs currently st…
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…
State Specific Measurement Protocols for the Variational Quantum Eigensolver
Davide Bincoletto, Jakob S. Kottmann
A central roadblock in the realization of variational quantum eigensolvers on quantum hardware is the high overhead associated with measurement repetitions, which hampers the compu…