output
20042025
most citedEfficient measurement of quantum dynamics via compressive sensing

225 citations

24 papers

quant-ph2025

Detection of noise correlations in two qubit systems by Machine Learning

Dario Fasone, Shreyasi Mukherjee, Dario Penna +5

We introduce and validate a machine-learning assisted quantum sensing protocol to classify spatial and temporal correlations of classical noise affecting two ultrastrongly coupled…

eess.SY2024★ 4 cited

Bringing Quantum Systems under Control: A Tutorial Invitation to Quantum Computing and Its Relation to Bilinear Control Systems

Julian Berberich, Robert L. Kosut, Thomas Schulte-Herbrüggen

Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploi…

quant-ph2024★ 5 cited

Noise Classification in Three-Level Quantum Networks by Machine Learning

Shreyasi Mukherjee, Dario Penna, Fabio Cirinnà +4

We investigate a machine learning based classification of noise acting on a small quantum network with the aim of detecting spatial or multilevel correlations, and the interplay wi…

quant-ph2023★ 3 cited

Hamiltonian Switching Control of Noisy Bipartite Qubit Systems

Zhibo Yang, Robert L. Kosut, K. Birgitta Whaley

We develop a Hamiltonian switching ansatz for bipartite control that is inspired by the Quantum Approximate Optimization Algorithm (QAOA), to mitigate environmental noise on qubits…

quant-ph2020★ 105 cited

From pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms

Alicia B. Magann, Christian Arenz, Matthew D. Grace +5

The last decade has witnessed remarkable progress in the development of quantum technologies. Although fault-tolerant devices likely remain years away, the noisy intermediate-scale…

quant-ph2020★ 5 cited

Quantum System Compression: A Hamiltonian Guided Walk Through Hilbert Space

Robert L. Kosut, Tak-San Ho, Herschel Rabitz

We present a systematic study of quantum system compression for the evolution of generic many-body problems. The necessary numerical simulations of such systems are seriously hinde…