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20242026
most citedTensor network noise characterization for near-term quantum computers

13 citations · 15 across the 6 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Development and experimental implementation of noise characterisation techniques on a superconducting quantum processor

Nelson M. M. Fernández, Francesco Grieco, Hetta Vappula +6

Noise characterisation not only enables error mitigation but also provides valuable information about the intrinsic performance of a quantum device, identifying dominant error cont…

quant-ph2026

Exploiting overcompleteness of Platonic-solid POVMs for shadow estimation

Dario Melegari, Stefano Mangini, Keijo Korhonen +2

Accurately estimating expectation values of observables from a finite number of measurement shots is a central challenge in quantum information science. Informationally overcomplet…

quant-ph2026

Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking

M. H. Cheng, Stefano Mangini, V. Bartsch +4

Noise characterization of multi-qubit entangling Clifford operations is a key practical bottleneck for quantum error mitigation and for the calibration, validation, and optimizatio…

quant-ph2025

Improving shadow estimation with locally-optimal dual frames

Keijo Korhonen, Stefano Mangini, Joonas Malmi +2

Accurate estimation of observables in quantum systems is a central challenge in quantum information science, yet practical implementations are fundamentally constrained by the limi…

quant-ph2025

TensorRL-QAS: Reinforcement learning with tensor networks for improved quantum architecture search

Akash Kundu, Stefano Mangini

Variational quantum algorithms hold the promise to address meaningful quantum problems already on noisy intermediate-scale quantum hardware. In spite of the promise, they face the…

quant-ph2024★ 2 cited

Low variance estimations of many observables with tensor networks and informationally-complete measurements

Stefano Mangini, Daniel Cavalcanti

Accurately estimating the properties of quantum systems is a central challenge in quantum computing and quantum information. We propose a method to obtain unbiased estimators of mu…

quant-ph2024★ 13 cited

Tensor network noise characterization for near-term quantum computers

Stefano Mangini, Marco Cattaneo, Daniel Cavalcanti +3

Characterization of noise in current near-term quantum devices is of paramount importance to fully use their computational power. However, direct quantum process tomography becomes…