4 papers
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…
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…
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…
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…