315 citations · 1.9k across the 52 of their papers we have counts for
11 papers · 2 filters
Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver
Sergey Filippov, Boris Sokolov, Matteo A. C. Rossi +5
Quantum processing units boost entanglement at the level of hardware and enable physical simulations of highly correlated electron states in molecules and intermolecular chemical b…
Charging a quantum battery in a non-Markovian environment: a collisional model approach
Daniele Morrone, Matteo A. C. Rossi, Andrea Smirne +1
We study the effect of non-Markovianity in the charging process of an open-system quantum battery. We employ a collisional model framework, where the environment is described by a…
Self-consistent quantum measurement tomography based on semidefinite programming
Marco Cattaneo, Matteo A. C. Rossi, Keijo Korhonen +4
We propose an estimation method for quantum measurement tomography (QMT) based on semidefinite programming (SDP), and discuss how it may be employed to detect experimental imperfec…
Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements
Anton Nykänen, Matteo A. C. Rossi, Elsi-Mari Borrelli +2
ADAPT-VQE stands out as a robust algorithm for constructing compact ansätze for molecular simulation. It enables to significantly reduce the circuit depth with respect to other met…
Link prediction with continuous-time classical and quantum walks
Mark Goldsmith, Guillermo García-Pérez, Joonas Malmi +3
Protein-protein interaction (PPI) networks consist of the physical and/or functional interactions between the proteins of an organism. Since the biophysical and high-throughput met…
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
Adam Glos, Anton Nykänen, Elsi-Mari Borrelli +4
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier "learning to measu…