165 citations · 369 across the 14 of their papers we have counts for
14 papers
Measurement-enabled online quantum processing with amplitude encoding
Giacomo Franceschetto, Pere Mujal, Rodrigo Martínez-Peña
We introduce a quantum reservoir computing online protocol that realizes amplitude encoding on quantum hardware. Our scheme combines mid-circuit measurement and reset operations to…
Mapping Phase Diagrams of Quantum Spin Systems through Semidefinite-Programming Relaxations
David Jansen, Donato Farina, Luke Mortimer +5
Identifying quantum phase transitions poses a significant challenge in condensed matter physics, as this requires methods that both provide accurate results and scale well with sys…
Quantum reservoir computing in atomic lattices
Guillem Llodrà, Pere Mujal, Roberta Zambrini +1
Quantum reservoir computing (QRC) exploits the dynamical properties of quantum systems to perform machine learning tasks. We demonstrate that optimal performance in QRC can be achi…
Harnessing quantum back-action for time-series processing
Giacomo Franceschetto, Marcin Płodzień, Maciej Lewenstein +2
Quantum measurements affect the state of the observed systems via back-action. While projective measurements extract maximal classical information, they drastically alter the syste…
Certifying steady-state properties of open quantum systems
Luke Mortimer, Donato Farina, Grazia Di Bello +4
Estimating the steady-state properties of open many-body quantum systems is a fundamental challenge in quantum science and technologies. In this work, we present a scalable approac…
Time Series Quantum Reservoir Computing with Weak and Projective Measurements
Pere Mujal, Rodrigo Martínez-Peña, Gian Luca Giorgi +2
Quantum machine learning represents a promising avenue for data processing, also for purposes of sequential temporal data analysis, as recently proposed in quantum reservoir comput…