
Photonic quantum kernels outperform classical machine learning in real experiments
Quantum machine learning takes a leap forward, thanks to a collaboration between the CNR-IFN, Politecnico di Milano and University of Vienna. In a study just
The “Photonics: Materials, Structures and Diagnostic” Trento IFN UOS of the Institute for Photonics and Nanotechnologies (IFN) belongs to the Department of Physics Sciences and Matter Technologies (DSFTM) of National Research Council (CNR).
The scientific and technological experties, as well as the diagnostic techniques, which constitute an important patrimony of Trento IFN UOS, cover the full range from the study of physical mechanisms crucial for synthesis, development and characterization of innovative photonic materials to design and fabrication of devices suitable for application in strategic interest areas such as sensing, information technology, and light sources. The IFN area of expertise includes investigation of local structure, crystallization, energy transfer, optical and spectroscopic properties of rare-earth activated glasses and planar waveguides prepared by several techniques including sol-gel route, RF-sputtering, and co-evaporation. Several original diagnostic techniques have been developed in order to assess the physical-chemical properties of synthesized materials. The research activity of the IFN unit is validated by a large number of scientific publications and communications and by active participation in projects of local, national, and international strategic interest. This also thanks to the innovative lift of the proposed research subjects in that favor cross-disciplinarily among physics, material science, and technologies crucial for fabrication of materials, structures, and photonic devices as well as for the assessment of their physical and chemical properties. The tackled subjects enhance the growing of technological and scientific competences in area of photonics potentially transferable to innovative commercial deliverables. The social impact of the activity concerns professional training of high-qualified researchers in the area of photonics and in the technological-scientific innovation of synthesis of materials, fabrication and characterization techniques, devices architecture, and understanding of physical mechanisms. A wide network of collaboration is already working, including a large number of local, national, and foreign research centers, as well as technological advanced private and public structures. The synergy with local research centers and university, as well as are optimal. The numerous collaborations activated at national and international level reflect the ability of IFN researchers in promoting projects of strategic interest, including European projects.
IFN Trento is one of the actors of the “Trentino system for research and high education” and successfully operates in this framework driven by specific agreements and committees:
Trento Offices:
Via alla Cascata, 56/C
38123 Povo – Trento
ITALY
Trento Labs:
Via Sommarive, 14
38123 Povo – Trento
ITALY
Name | Surname | Role | Phone | |
---|---|---|---|---|
Andrea | VINANTE | Researcher | andrea.vinante@cnr.it | +39 0461 314 857 |
Andrea | CHIAPPINI | Researcher | andrea.chiappini@cnr.it | +39 0461 314 920 |
Alessandro | CHIASERA | Researcher | alessandro.chiasera@cnr.it | +39 0461 314 923 |
Alessandro | CARPENTIERO | Technician | alessandro.carpentiero@cnr.it | +39 0461 314 956 |
Stefano | VARAS | Technician | stefano.varas@cnr.it | +39 0461 314 951 |
Serena | degli AVANCINI | Administrative staff | serena.degliavancini@ifn.cnr.it | +39 0461 314 250 |
Maurizio | FERRARI | Research affiliate | maurizio.ferrari@ifn.cnr.it | +39 0461 314 918 |
Roberto | SCOTTI | Research affiliate | roberto.scotti@unimib.it | |
Oreste | BURSI | Research affiliate | oreste.bursi@unitn.it | +39 0461 281 901 |
Alberto | QUARANTA | Research affiliate | alberto.quaranta@unitn.it | +39 0461 282 450 |
Vincenzo | SGLAVO | Research affiliate | vincenzo.sglavo@unitn.it | |
Daniele | ZONTA | Research affiliate | daniele.zonta@unitn.it | +39 0461 282 537 |
Alice | CARLOTTO | Research affiliate | acarlotto@fbk.eu | |
Francesco | ROCCA | Research affiliate | francesco.rocca@unitn.it | +39 0461 281685 |
Antonella | CAVALLERI | Research affiliate | antonella.cavalleri@unitn.it | +39 0461 281 586 |
Paolo | FALFERI | Research affiliate | paolo.falferi@unitn.it | +39 0461 281 682 |
Giorgio | SPERANZA | Research affiliate | speranza@fbk.eu | +39 0461 314 487 |
Felix Klaus | AHRENS | Research affiliate | ahrens.felix@gmx.it | |
Thi Ngoc Lam | TRAN | Research affiliate | ThiNgocLam.Tran@UGent.be | |
Elena | MARTINELLO | Administrative staff | emartinello@fbk.eu | +39 0461 314 919 |
Andrea | MARCHESE | Research affiliate | amarchese@fbk.eu | +39 0461 314 876 |
Rathinavelu | SENGOTTAIYAN | Researcher | rathinavelu.sengottaiyan@cnr.it | |
Sudha Maria Lis | SCARIA | Researcher | sudhamarialis.scaria@cnr.it |
Quantum machine learning takes a leap forward, thanks to a collaboration between the CNR-IFN, Politecnico di Milano and University of Vienna. In a study just
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