3 papers
quant-ph2025
Path Integral Quantum Control for Quantum Chemistry Applications
Peyman Najafi, Aarón Villanueva, Hilbert Kappen
The Path integral Quantum Control (PiQC) algorithm was recently introduced by Villanueva et al. (2025) as a new approach for computing optimal controls in open and closed quantum s…
quant-ph2023
Training Quantum Boltzmann Machines with the -Variational Quantum Eigensolver
Onno Huijgen, Luuk Coopmans, Peyman Najafi +2
The quantum Boltzmann machine (QBM) is a generative machine learning model for both classical data and quantum states. Training the QBM consists of minimizing the relative entropy…
quant-ph2023
Optimum phase estimation with two control qubits
Peyman Najafi, Pedro C. S. Costa, Dominic W. Berry
Phase estimation is used in many quantum algorithms, particularly in order to estimate energy eigenvalues for quantum systems. When using a single qubit as the probe (used to contr…