17 citations · 42 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
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…
Practical techniques for high-precision measurements on near-term quantum hardware and applications in molecular energy estimation
Keijo Korhonen, Hetta Vappula, Adam Glos +6
Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. Quantum computers suffer from high readout errors, maki…
Enhanced observable estimation through classical optimization of informationally over-complete measurement data -- beyond classical shadows
Joonas Malmi, Keijo Korhonen, Daniel Cavalcanti +1
In recent years, informationally complete measurements have attracted considerable attention, especially in the context of classical shadows. In the particular case of informationa…
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…
Quantum network medicine: rethinking medicine with network science and quantum algorithms
Sabrina Maniscalco, Elsi-Mari Borrelli, Daniel Cavalcanti +14
Scientific and technological advances in medicine and systems biology have unequivocally shown that health and disease must be viewed in the context of the interplay among multiple…