activity
20172026
most citedRoadmap on STIRAP applications

168 citations · 903 across the 33 of their papers we have counts for

collaborators
Showing 2021Show all

9 papers · 1 filter

quant-ph2021★ 62 cited

A Tutorial on Optimal Control and Reinforcement Learning methods for Quantum Technologies

Luigi Giannelli, Sofia Sgroi, Jonathon Brown +4

Quantum Optimal Control is an established field of research which is necessary for the development of Quantum Technologies. In recent years, Machine Learning techniques have been p…

quant-ph2021

Quantum process tomography of adiabatic and superadiabatic stimulated Raman passage

Shruti Dogra, Gheorghe Sorin Paraoanu

Quantum control methods for three-level systems have become recently an important direction of research in quantum information science and technology. Here we present numerical sim…

quant-ph2021★ 56 cited

Quantum simulation of parity-time symmetry breaking with a superconducting quantum processor

Shruti Dogra, Artem A. Melnikov, Gheorghe Sorin Paraoanu

The observation of genuine quantum effects in systems governed by non-Hermitian Hamiltonians has been an outstanding challenge in the field. Here we simulate the evolution under su…

quant-ph2021

Protocol for temperature sensing using a three-level transmon circuit

Aidar Sultanov, Marko Kuzmanović, Andrey V. Lebedev +1

We present a method for in situ temperature measurement of superconducting quantum circuits, by using the first three levels of a transmon device to which we apply a sequence of $π…

quant-ph2021★ 37 cited

Reinforcement learning-enhanced protocols for coherent population-transfer in three-level quantum systems

Jonathon Brown, Sofia Sgroi, Luigi Giannelli +5

We deploy a combination of reinforcement learning-based approaches and more traditional optimization techniques to identify optimal protocols for population transfer in a multi-lev…

quant-ph2021★ 18 cited

Benchmarking Machine Learning Algorithms for Adaptive Quantum Phase Estimation with Noisy Intermediate-Scale Quantum Sensors

Nelson Filipe Costa, Yasser Omar, Aidar Sultanov +1

Quantum phase estimation is a paradigmatic problem in quantum sensing andmetrology. Here we show that adaptive methods based on classical machinelearning algorithms can be used to…

quant-ph2021★ 114 cited

Critical parametric quantum sensing

R. Di Candia, F. Minganti, K. V. Petrovnin +2

Critical quantum systems are a promising resource for quantum metrology applications, due to the diverging susceptibility developed in proximity of phase transitions. Here, we asse…

quant-ph2021★ 37 cited

Engineering dissipation with resistive elements in circuit quantum electrodynamics

Marco Cattaneo, Gheorghe-Sorin Paraoanu

The importance of dissipation engineering ranges from universal quantum computation to non-equilibrium quantum thermodynamics. In recent years, more and more theoretical and experi…

cond-mat.mes-hall2021★ 9 cited

Klein tunneling through the trapezoidal potential barrier in graphene: conductance and shot noise

Gheorghe Sorin Paraoanu

When a single-layer graphene sheet is contacted with metallic electrodes, tunnel barriers are formed as a result of the doping of graphene by the metal in the contact region. If th…