Matteo A. C. Rossi

Postdoctoral Researcher

Aalto University

Algorithmiq

Biography

I am a postdoctoral researcher in the PICO group at Aalto University and CTO and co-founder of Algorithmiq, a startup developing advanced quantum algorithms for life sciences.

Interests

Quantum Metrology
Open Quantum Systems
Quantum Walks
Near-term quantum algorithms
Coding and numerics

Education

PhD in Physics, 2017
Università degli Studi di Milano
MSc in Physics, 2014
Università degli Studi di Parma
BSc in Physics, 2012
Università degli Studi di Parma

Experience

CTO, co-founder

Algorithmiq

Aug 2020 – Present Finland

Algorithmiq is a startup developing advanced quantum algorithms for life sciences

Postdoctoral researcher

Aalto university

Aug 2021 – Present Finland

Postdoc in the PICO group led by Prof. Jukka Pekola

Postdoctoral researcher

University of turku

Nov 2017 – Jul 2021 Finland

Postdoc in the Turku Quantum Technologies group led by Sabrina Maniscalco

PhD student

University of Milano

Oct 2014 – Nov 2017 Italy

Working in the Applied Quantum Mechanics group led by Prof. Matteo G. A. Paris

Research interests

Near-term quantum algorithms

Efficient algorithms for small, noisy quantum devices

Last updated on May 30, 2022

Open Quantum Systems

Interaction with noisy environments

Last updated on Feb 16, 2021

Complex Quantum Networks

Including continuous-time quantum walks

Last updated on May 30, 2022

Quantum Metrology

Quantum enhanced estimation of parameters

Last updated on May 30, 2022

Recent Publications

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Joonas Malmi, Matteo A. C. Rossi, Guillermo García-Pérez, Sabrina Maniscalco (2022). Spatial search by continuous-time quantum walks on renormalized Internet networks. Phys. Rev. Research 4, 043185.

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Daniele Morrone, Matteo A. C. Rossi, Andrea Smirne, Marco G. Genoni (2022). Charging a quantum battery in a non-Markovian environment: a collisional model approach.

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Sergey Filippov, Boris Sokolov, Matteo A. C. Rossi, Joonas Malmi, Elsi-Mari Borrelli, Daniel Cavalcanti, Sabrina Maniscalco, Guillermo García-Pérez (2022). Matrix product channel: Variationally optimized quantum tensor network to mitigate noise and reduce errors for the variational quantum eigensolver.

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Anton Nykänen, Matteo A. C. Rossi, Elsi-Mari Borrelli, Sabrina Maniscalco, Guillermo García-Pérez (2022). Mitigating the measurement overhead of ADAPT-VQE with optimised informationally complete generalised measurements.

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Marco Cattaneo, Elsi-Mari Borrelli, Guillermo García-Pérez, Matteo A. C. Rossi, Zoltán Zimborás, Daniel Cavalcanti (2022). Semidefinite programming for self-consistent quantum measurement tomography.

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