Learning quantum systems

V Gebhart, R Santagati, AA Gentile, EM Gauger… - Nature Reviews …, 2023 - nature.com
The future development of quantum technologies relies on creating and manipulating
quantum systems of increasing complexity, with key applications in computation, simulation …

Tensor network noise characterization for near-term quantum computers

S Mangini, M Cattaneo, D Cavalcanti, S Filippov… - Physical Review …, 2024 - APS
Characterization of noise in current near-term quantum devices is of paramount importance
to fully use their computational power. However, direct quantum process tomography …

Extended quantum process tomography of logical operations on an encoded bosonic qubit

M Kervinen, S Ahmed, M Kudra, A Eriksson… - Physical Review A, 2024 - APS
We demonstrate the use of coherent-state quantum process tomography (csQPT) for a
bosonic-mode superconducting circuit. We have enhanced our methodology over previous …

Finding quantum codes via Riemannian optimization

M Casanova, K Ohki, F Ticozzi - Quantum Science and …, 2024 - iopscience.iop.org
We propose a novel optimization scheme designed to find optimally correctable subspace
codes for a known quantum noise channel. To each candidate subspace code we first …

Efficient learning of mixed-state tomography for photonic quantum walk

QQ Wang, S Dong, XW Li, XY Xu, C Wang, S Han… - Science …, 2024 - science.org
Noise-enhanced applications in open quantum walk (QW) has recently seen a surge due to
their ability to improve performance. However, verifying the success of open QW is …

Quantum channel learning

MG Belov, VV Dubov, AV Filimonov, VG Malyshkin - Physical Review E, 2025 - APS
The problem of an optimal map** between Hilbert spaces IN and OUT, based on a series
of density matrix map** measurements ρ (l)→ ϱ (l), l= 1⋯ M, is formulated as an …

Machine learning of reduced quantum channels on noisy intermediate-scale quantum devices

G Cemin, M Cech, E Weiss, S Soltan, D Braun… - Physical Review A, 2024 - APS
Worldwide efforts aim at the realization of advanced quantum simulators and processors.
However, despite the development of intricate hardware and pulse control systems, it may …

Learning the tensor network model of a quantum state using a few single-qubit measurements

S Kuzmin, V Mikhailova, I Dyakonov, S Straupe - Physical Review A, 2024 - APS
The constantly increasing dimensionality of artificial quantum systems demands for highly
efficient methods for their characterization and benchmarking. Conventional quantum …

Transformer models for quantum gate set tomography

KY Yu, A Sarkar, M Rimbach-Russ, R Ishihara… - Quantum Machine …, 2025 - Springer
Quantum computation represents a promising frontier in the domain of high-performance
computing, blending quantum information theory with practical applications to overcome the …

Multipass quantum process tomography

SG Stanchev, NV Vitanov - Scientific Reports, 2024 - nature.com
We introduce a method to enhance the precision and accuracy of Quantum Process
Tomography (QPT) by mitigating the errors caused by state preparation and measurement …