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Directory and Skills inventory

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Pomarico Enrico

Pomarico Enrico

Maître d'enseignement HES

Main skills

Optics

Quantum sensors

Life Cycle Assessment (LCA)

Lasers

Ultrafast spectroscopy

Optical and Electron Microscopy

Machine Learning

  • Contact

  • Teaching

  • Research

  • Publications

  • Conferences

Main contract

Maître d'enseignement HES

Desktop: A205

Haute école du paysage, d'ingénierie et d'architecture de Genève
Rue de la Prairie 4, 1202 Genève, CH
hepia
Faculty
Technique et IT
Main Degree Programme
Microtechniques
BSc HES-SO en Microtechniques - Haute école du paysage, d'ingénierie et d'architecture de Genève
  • Travaux pratiques de chimie physique
  • Physique de base
BSc HES-SO en Agronomie - Haute école du paysage, d'ingénierie et d'architecture de Genève
BSc HES-SO en Génie mécanique - Haute école du paysage, d'ingénierie et d'architecture de Genève
BSc HES-SO en Gestion de la nature - Haute école du paysage, d'ingénierie et d'architecture de Genève
  • Mathématiques
  • Physique appliquée
BA HES-SO en Architecture - Haute école du paysage, d'ingénierie et d'architecture de Genève
  • Physique appliquée

Ongoing

CAPIA: Contrôle Autonome de la Précision des outils de coupe par Intelligence Artificielle

Role: Co-applicant

Financement: Innosuisse

Description du projet :

Le projet CAPIA (Contrôle Autonome de la Précision des outils de coupe par Intelligence Artificielle) vise à développer une machine innovante, pour le contrôle automatique des fraises et micro-fraises en sortie de production. Elle combinera un dispositif optique de haute précision et des algorithmes d’intelligence artificielle afin d’assurer un contrôle fiable, rapide et exhaustif. CAPIA permettra de détecter ébréchures, défauts de géométrie et écarts par rapport au plan de production grâce à la superposition des modèles DXF. Le contrôle des cotes sera réalisé sans contact, éliminant tout risque d’endommagement. L’IA bénéficiera d’un apprentissage continu alimenté par les données de production, améliorant sans cesse ses performances et son adaptation à de nouvelles géométries.

Research team within HES-SO: Mermoud Grégory , Lettry Louis , Extermann Jérôme , Pomarico Enrico

Partenaires professionnels: Eskenazi, Genève

Durée du projet: 01.02.2026 - 31.01.2028

Montant global du projet: 968'714 CHF

State : Ongoing

C3 B - FlagshipHES-SO 2025/26 - 2ème année
AGP

Role: Collaborator

Requérant(e)s: VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : Large amounts of plastic waste resulting from a non-circular plastic life cycle, generated from fossil crude oil, represent one of the major environmental issues today, polluting the environment in controlled or uncontrolled waste deposits or generating CO2 in incinerators. In spite of common efforts to improve waste collection, according to the Federal Office of Environment [FOEN2023] the recycled fraction of today's plastic waste generation remains at 50%. Various recycling processes for specific polymers are presently under development (various start-ups have been founded thereupon), but require highly selected materials as input, which is the common major issue of nowadays plastic recycling. All newly proposed processes rely on high quality waste separation, which is mostly done manually to achieve the required purity levels. Thus, mixed plastic waste remains the major issue. Non recycled plastic waste ends usually up in the incinerators (in Switzerland) and generates CO2 emission into the atmosphere or on controlled (or uncontrolled, 3rd world) deposits, polluting the environment. Even though Switzerland occupies a leading place in recycling household waste, just about half of plastic waste is recycled while the other half goes into incinerators [FOEN2023]. Plastic is a material which due to its light weight and versatility cannot easily be replaced in most applications, neither in industry, packaging, domestic, construction, mobility, etc. Thus, Switzerland has made a clear commitment to integrate the plastic material into the emerging circular economy. Nowadays less than 7% of products in Switzerland are resulting from a circular economy [Spörri2021, Keys2023].

Research team within HES-SO: Bruchez Yvan , Milliere Laurent , Bonvin Jérémie , Ellert Christoph , Willen Stefan , Gallay Steve , Courret Gilles , Berthouzoz David , Martinet David , Vorlet Olivier , Chappuis Thierry , Schopfer Mathieu , Veyrat Tristan , Pantelidis Alexandros , Pomarico Enrico , Ellis Warwick , Broccard Jean-Baptiste , Maillard Philippe , Barmaz Inès , Thurneysen Markus , Masserey Romain

Partenaires académiques: VS - Institut Systèmes industriels; FR - EIA - Institut ChemTech; HEPIA inTECH; iE

Durée du projet: 19.12.2025 - 18.12.2026

Montant global du projet: 464'000 CHF

State : Ongoing

Completed

Transformation du plastique usagé en source de hydrocarbures dans l'industrie chimique
AGP

Role: Collaborator

Requérant(e)s: VS - Institut Systèmes industriels

Financement: HES-SO Rectorat

Description du projet : Plastic waste is one of the biggest current environmental problems. Plastics products are produced from fossil hydrocarbons as C-supplier by energy-intensive high-temperature cracking. These plastics, which are CO2-intensive in production, are not recycled despite improved waste separation, which is advancing, but remains insufficient and costly. Thus, plastic waste will continue ending up in the environment or (as in Switzerland) in waste incineration plants and thus contribute to global warming, since all C atoms are oxidized to CO2. Most innovation approaches today aim at improving the energy balance of the cracker and not at replacing the feedstock. Our project aims to replace the supply of raw material gases from high-temperature cracking of hydrocarbons in a first step by breaking down plastic waste into its individual molecular parts by means of a soft and tunable hydrogen plasma (de-polymerization). In a second step, product gases will be separated and the resulting short-chain molecules (CH4, CxHy, i.e. alkanes, alkenes, others) returned as raw materials to the production process in chemical and pharmaceutical industry. While the first step represents the main innovation in this project the second step takes advantage of the existing knowledge of gas separation and cleaning already practiced in high-temperature cracking systems, which need however be adapted to the particular gas composition leaving the plasma dissociationprocess (first step). Environmental impact 1. Plastic waste is no longer landfilled or released into the environment. 2. Elimination of CO2 release from Incineration of plastic waste. 3. The plasma process is also suitable for mixed plastic waste. 4. C-cycle is closed, as product gases will be separated & purified for use in chemical and pharmaceutical industry. Energy relevance 5. Replacement of the high-temperature cracking process by the tunable soft hydrogen plasma process. 6. Required hydrogen is produced from solar driven electrolysis at peak times in summer. Plastic waste can be collected in the winter months, partially reducing the summer/winter electricity storage problem. 7. The plasma reactor for decomposition of the plastic waste with admixture of the solar generated ("green") hydrogen is run at peak times and thus also stabilizes the electric power grids. The plasma process can be started up and shut down quickly, since no large thermal masses have to be heated up (in contrast to thermal gasification at over 1000°C).

Research team within HES-SO: Ellert Christoph , Crelier Simon , Berthouzoz David , Martinet David , Zsély Schaffter Martina , Richard Jacques , Jobin Marc , Schopfer Mathieu , Reymond Lucie , Seppey Fabrice , Broccard Pierre-Vincent , Pomarico Enrico , Schmidt Cédric , Neuenschwander Caryl , Varone Benoît , Bruzzo Alessia , Masserey Romain

Partenaires académiques: VS - Institut Systèmes industriels; VS - Institut Sciences du vivant; hepia inSTI

Durée du projet: 15.01.2022 - 31.03.2024

Montant global du projet: 219'450 CHF

State : Completed

ICARO

Role: Collaborator

Financement: Innosuisse

Description du projet :

Quantum-inspired image compression for optical microcopy

Research team within HES-SO: Extermann Jérôme , Pomarico Enrico

Partenaires professionnels: Sanguinetti Bruno, Dotphoton SA

Durée du projet: 04.01.2019 - 03.01.2021

Montant global du projet: 559'000 CHF

State : Completed

2024

Cryogenic temperature 3D mapping via a distributed temperature sensor with centimeter resolution
Scientific paper ArODES

Luca Corradin, Gabriel Thiebaut, Gaëtan Gras, Félix Bussières, Jérôme Extermann, Enrico Pomarico

Optics Express,  2024, 32, 14, 24889

Link to the publication

Summary:

We conduct 3D mapping of cryogenic temperatures via a Raman-based distributed temperature sensor, employing standard telecom single-mode fibers and polarization-independent superconducting nanowire single photon detectors (SNSPDs). By coiling a test fiber around various stages of a liquid helium cooled cryostat, our device demonstrates a lower temperature sensing limit of (48 ± 2) K, below the nitrogen boiling point. This achievement is made possible by the low dark count rates of SNSPDs, as validated by theoretical simulations. Furthermore, we utilize our device to map cryogenic temperatures on the 350 cm2 surface of a specially designed hollow cylindrical aluminum sample, accommodating approximately 2 m of standard single-mode optical fiber. During nitrogen cooling, we monitor the temporal evolution of the spatially dependent temperature gradient on the metallic sample with a temporal sampling down to one minute. Fiber-based distributed temperature sensing with centimetric spatial resolution can be effectively applied for 3D mapping at cryogenic temperatures of superconducting, quantum computing and aerospace instrumentation.

2023

Data models for dataset drift controls in machine learning with optical images
Scientific paper ArODES

Luis Oala, Marco Aversa, Gabriel Nobis, Kurt Willis, Yoan Neuenschwander, Michèle Buck, Christian Matek, Jérôme Extermann, Enrico Pomarico, Wojciech Samek, Roderick Murray-Smith, Christoph Clausen, Bruno Sanguinetti

Transactions on machine learning research,

Link to the publication

Summary:

Camera images are ubiquitous in machine learning research. They also play a central role in the delivery of important services spanning medicine and environmental surveying. However, the application of machine learning models in these domains has been limited because of robustness concerns. A primary failure mode are performance drops due to differences between the training and deployment data. While there are methods to prospectively validate the robustness of machine learning models to such dataset drifts, existing approaches do not account for explicit models of the primary object of interest: the data. This limits our ability to study and understand the relationship between data generation and downstream machine learning model performance in a physically accurate manner. In this study, we demonstrate how to overcome this limitation by pairing traditional machine learning with physical optics to obtain explicit and differentiable data models. We demonstrate how such data models can be constructed for image data and used to control downstream machine learning model performance related to dataset drift. The findings are distilled into three applications. First, drift synthesis enables the controlled generation of physically faithful drift test cases to power model selection and targeted generalization. Second, the gradient connection between machine learning task model and data model allows advanced, precise tolerancing of task model sensitivity to changes in the data generation. These drift forensics can be used to precisely specify the acceptable data environments in which a task model may be run. Third, drift optimization opens up the possibility to create drifts that can help the task model learn better faster, effectively optimizing the data generating process itself. A guide to access the open code and datasets is available at https://github.com/aiaudit-org/raw2logit.

2022

Statistical distortion of supervised learning predictions in optical microscopy induced by image compression
Scientific paper ArODES

Enrico Pomarico, Cédric Schmidt, Florian Chays, David Nguyen, Arielle Planchette, Audrey Tissot, Adrien Roux, Stéphane Pagès, Laura Batti, Christoph Clausen, Theo Lasser, Aleksandra Radenovic, Bruno Sanguinetti, Jérôme Extermann

Scientific Reports,  2022, vol. 12, article no. 3464

Link to the publication

Summary:

The growth of data throughput in optical microscopy has triggered the extensive use of supervised learning (SL) models on compressed datasets for automated analysis. Investigating the effects of image compression on SL predictions is therefore pivotal to assess their reliability, especially for clinical use. We quantify the statistical distortions induced by compression through the comparison of predictions on compressed data to the raw predictive uncertainty, numerically estimated from the raw noise statistics measured via sensor calibration. Predictions on cell segmentation parameters are altered by up to 15% and more than 10 standard deviations after 16-to-8 bits pixel depth reduction and 10:1 JPEG compression. JPEG formats with higher compression ratios show significantly larger distortions. Interestingly, a recent metrologically accurate algorithm, offering up to 10:1 compression ratio, provides a prediction spread equivalent to that stemming from raw noise. The method described here allows to set a lower bound to the predictive uncertainty of a SL task and can be generalized to determine the statistical distortions originated from a variety of processing pipelines in AI-assisted fields.

Distributed temperature sensor combining centimeter resolution with hundreds of meters sensing range
Scientific paper ArODES

Julien Gasser, Daryl Warpelin, Félix Bussières, Jérôme Extermann, Enrico Pomarico

Optics Express,  2022, vol. 30, no. 5, pp. 6768-6777

Link to the publication

Summary:

We present a Raman distributed temperature sensor based on standard telecom single mode fibers and efficient polarization-independent superconducting nanowire single photon detectors. Our device shows 3 cm and 1.5 °C resolution on a 5 m fiber upon one minute integration. We show that spatial resolution is limited by the laser pulse width and not by the detection system. Moreover, for long fibers the minimum distance for a measurable temperature step change increases of around 4 cm per km length, because of chromatic dispersion at the Stokes and Anti-Stokes wavelengths. Temperature resolution is mainly affected by the drop in the laser repetition rate when long fibers are tested. On a 500 m fiber, a trade-off of 10 cm and 8 °C resolution is achieved with 3 minutes integration. Fiber-based distributed temperature sensing, combining centimetric spatial resolution with hundreds of meters sensing range, could pave the way for a new kind of applications, such as 2D and 3D temperature mapping of complex electronic devices, particles detectors, cryogenic and aerospace instrumentation.

2021

High resolution optical projection tomography platform for multispectral imaging of the mouse gut
Scientific paper ArODES

Cédric Schmidt, Arielle L. Planchette, David Nguyen, Gabriel Giardina, Yoan Neuenschwander, Mathieu Di Franco, Alessio Mylonas, Adrien C. Descloux, Enrico Pomarico, Aleksandra Radenovic, Jérôme Extermann

Biomedical Optics Express,  2021, vol. 12, no. 6, pp. 3619-3629

Link to the publication

Summary:

Optical projection tomography (OPT) is a powerful tool for three-dimensional imaging of mesoscopic biological samples with great use for biomedical phenotyping studies. We present a fluorescent OPT platform that enables direct visualization of biological specimens and processes at a centimeter scale with high spatial resolution, as well as fast data throughput and reconstruction. We demonstrate nearly isotropic sub-28 μm resolution over more than 60 mm3 after reconstruction of a single acquisition. Our setup is optimized for imaging the mouse gut at multiple wavelengths. Thanks to a new sample preparation protocol specifically developed for gut specimens, we can observe the spatial arrangement of the intestinal villi and the vasculature network of a 3-cm long healthy mouse gut. Besides the blood vessel network surrounding the gastrointestinal tract, we observe traces of vasculature at the villi ends close to the lumen. The combination of rapid acquisition and a large field of view with high spatial resolution in 3D mesoscopic imaging holds an invaluable potential for gastrointestinal pathology research.

2019

A multi-scale time-resolved study of photoactivated dynamics in 5-benzyl uracil, a model for DNA/protein interactions
Scientific paper

Mohammadhassan Valadan, Pomarico Enrico, Bartolomeo Della Ventura, Felice Gesuele, Raffaele Velotta, Angela Amoresano, Gabriella Pinto, Majed Chergui, Roberto Improta, Carlo Altucci

Physical Chemistry Chemical Physics, 2019 , vol.  21, pp.  6301-6310

Link to the publication

Holographic imaging of electromagnetic fields via electron-light quantum interference
Scientific paper

Ivan Madan, Giovanni Maria Vanacore, Pomarico Enrico, Gabriele Berruto, Raymond J. Lamb, Damien McGrouther, Tom T. A. Lummen, Tatiana Latychevskaia, F. J. García De Abajo, Fabrizio Carbone

Science advances, 2019 , vol.  5, no  eaav8358, pp.  1-7

Link to the publication

Ultrafast generation and control of an electron vortex beam via chiral plasmonic near fields
Scientific paper

G. M. Vanacore, G. Berruto, I. Madan, Pomarico Enrico, P. Biagioni, R. J. Lamb, D. McGrouther, O. Reinhardt, I. Kaminer, B. Barwick, H. Larocque, V. Grillo, E. Karimi, F. J. Garcia de Abajo, F. Carbone

Nature Materials, 2019 , vol.  18, pp.  573-579

Link to the publication

2018

meV resolution in laser-assisted energy-filtered transmission electron microscopy
Scientific paper

Pomarico Enrico, Ivan Madan, Gabriele Berruto, Giovanni Maria Vanacore, Kangpeng Wang, Ido Kaminer, F. Javier García de Abajo, Fabrizio Carbone

ACS Photonics, 2018 , vol.  5, pp.  759-764

Link to the publication

Clocking the ultrafast electron cooling in anatase titanium dioxide nanoparticles
Scientific paper

Edoardo Baldini, Tania Palmieri, Pomarico Enrico, Gerald Aubock, Majed Chergui

ACS Photonics, 2018 , vol.  5, pp.  1241-1249

Link to the publication

Hydrophobic interactions of sucralose with protein structures
Scientific paper

Nimesh Shukla, Pomarico Enrico, Cody J. S. Hecht, Erika A. Taylor, Majed Chergui, Christina M. Othon

Archives of biochemistry and biophysics, 2018 , vol.  639, pp.  38-43

Link to the publication

Laser-induced skyrmion writing and erasing in an ultrafast cryo-Lorentz transmission electron microscope
Scientific paper

G. Berruto, I. Madan, Y. Murooka, G. M. Vanacore, Pomarico Enrico, J. Rajeswari, R. Lamb, P. Huang, A. J. Kruchkov, Y. Togawa, T. LaGrange, D. McGrouther, H. M. Rønnow, F. Carbone

Physical review letters, 2018 , vol.  120, pp.  1-6

Link to the publication

Ultrafast electron energy-loss spectroscopy in transmission electron microscopy
Scientific paper

Pomarico Enrico, Ye-Jin Kim, F. Javier García De Abajo, Oh-Hoon Kwon, Fabrizio Carbone, Renske M. Van Der Veen

Mrs Bulletin, 2018 , vol.  43, pp.  497-503

Link to the publication

Attosecond coherent control of free-electron wave functions using semi-infinite light fields
Scientific paper

Giovanni M. Vanacore, I. Madan, G. Berruto, K. Wang, Pomarico Enrico, R. J. Lamb, D. McGrouther, I. Kaminer, B. Barwick, F. Javier García de Abajo, F. Carbone

Nature communications, 2018 , vol.  9, pp.  1-11

Link to the publication

Photophysical heavy-atom effect in iodinated metallocorroles: Spin–orbit coupling and density of states
Scientific paper

Pomarico Enrico, Petr Pospisil, Marine E. F. Bouduban, Jenya Vestfrid, Zeev Gross, Stanislav Záliš, Majed Chergui, Antonin Vlcek

The Journal of Physical Chemistry A, 2018 , vol.  122, pp.  7256-7266

Link to the publication

2017

Enhanced electron-phonon coupling in graphene with periodically distorted lattice
Scientific paper

Pomarico Enrico, M. Mitrano, H. Bromberger, M. A. Sentef, A. Al-Temimy, C. Coletti, A. Stöhr, S. Link, U. Starke, C. Cacho, R. Chapman, E. Springate, A. Cavalleri, I. Gierz

Physical Review B, 2017 , vol.  95, pp.  4304-8

Link to the publication

Interfacial electron injection probed by a substrate-specific excitonic signature
Scientific paper

Edoardo Baldini, Tania Palmieri, Thomas Rossi, Malte Oppermann, Pomarico Enrico, Gerald Auböck, Majed Chergui

Journal of the American Chemical Society, 2017 , vol.  139, pp.  1584-1589

Link to the publication

2016

Dual luminescence, interligand decay, and nonradiative electronic relaxation of cyclometalated iridium complexes in solution
Scientific paper

Pomarico Enrico, M. Silatani, F. Messina, O. Braem, A. Cannizzo, E. Barranoff, J. H. Klein, C. Lambert, M. Chergui

The Journal of Physical Chemistry C, 2016 , vol.  120, pp.  6459-6469

Link to the publication

Retardation of bulk water dynamics by disaccharide osmolytes
Scientific paper

Nimesh Shukla, Pomarico Enrico, Lee Chen, Majed Chergui, Christina M. Othon

The Journal of Physical Chemistry B, 2016 , vol.  120, pp.  9477-9483

Link to the publication

2015

Ligand-centred fluorescence and electronic relaxation cascade at vibrational time scales in transition-metal complexes
Scientific paper

Fabrizio Messina, Pomarico Enrico, Mahsa Silatani, Etienne Baranoff, Majed Chergui

The journal of physical chemistry letters, 2015 , vol.  639, pp.  4475-4480

Link to the publication

2013

Interaction of independent single photons based on integrated nonlinear optics
Scientific paper

Thiago Guerreiro, Pomarico Enrico, Bruno Sanguinetti, Nicolas Sangouard, J. S. Pelc, C. Langrock, M. M. Fejer, Hugo Zbinden, Robert T. Thew, Nicolas Gisin

Nature Communications, 2013 , vol.  4, pp.  2324-2329

Link to the publication

Retinal and post-retinal contributions to the quantum efficiency of the human eye revealed by electrical neuroimaging
Scientific paper

Gibran Manasseh, Chloe De Balthasar, Bruno Sanguinetti, Pomarico Enrico, Nicolas Gisin, Rolando Grave De Peralta, Sara L. Gonzalez Andino

Frontiers in psychology, 2013 , vol.  43, pp.  8451-13

Link to the publication

2012

Engineering integrated pure narrow-band photon sources
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Clara I. Osorio, Harald Herrmann, R. T. Thew

New Journal of Physics, 2012 , vol.  14, pp.  3008-3020

Link to the publication

MHz rate and efficient synchronous heralding of single photons at telecom wavelengths
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Thiago Guerreiro, Rob Thew, Hugo Zbinden

Optics express, 2012 , vol.  20, pp.  3846-3855

Link to the publication

Advantages of gated silicon single-photon detectors
Scientific paper

Tommaso Lunghi, Pomarico Enrico, Claudio Barreiro, Damien Stucki, Bruno Sanguinetti, Hugo Zbinden

Applied optics, 2012 , vol.  51, pp.  8455-8459

Link to the publication

2011

Bringing entanglement to the real world: from fundamental aspects to applications in quantum communication and radiometry
Doctoral thesis

Pomarico Enrico

2011,  Genève : Université de Genève

Gisin Nicolas

Link to the publication

Various quantum nonlocality tests with a commercial two-photon entanglement source
Scientific paper

Pomarico Enrico, Jean-Daniel Bancal, Bruno Sanguinetti, Anas Rochdi, Nicolas Gisin

Physical Review A, 2011 , vol.  83, pp.  2104-2108

Link to the publication

Experimental amplification of an entangled photon: what if the detection loophole is ignored?
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Pavel Sekatski, Hugo Zbinden, Nicolas Gisin

New Journal of Physics, 2011 , no  13, pp.  3031-13

Link to the publication

Applications of quantum cloning
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Pavel Sekatski, Hugo Zbinden, Nicolas Gisin

Optics and Spectroscopy, 2011 , vol.  111, pp.  510-519

Link to the publication

2010

Room temperature photon number resolving detector for infared wavelengths
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Rob Thew, Hugo Zbinden

Optics express, 2010 , vol.  18, pp.  0750-0759

Link to the publication

Quantum cloning for absolute radiometry
Scientific paper

Bruno Sanguinetti, Pomarico Enrico, Pavel Sekatski, Hugo Zbinden, Nicolas Gisin

Physical review letters, 2010 , vol.  105, pp.  0503-0507

Link to the publication

32 bin near-infrared time-multiplexing detector with attojoule single-shot energy resolution
Scientific paper

Patrick Eraerds, Pomarico Enrico, Jun Zhang, Bruno Sanguinetti, Rob Thew, Hugo Zbinden

Review of Scientific Instruments, 2010 , vol.  81, pp.  3105-3112

Link to the publication

Cloning entangled photons to scales one can see
Scientific paper

Pavel Sekatski, Bruno Sanguinetti, Pomarico Enrico, Nicolas Gisin, Christoph Simon

Physical Review A, 2010 , vol.  82, pp.  3814-3818

Link to the publication

2009

Waveguide-based OPO source of entangled photon pairs
Scientific paper

Pomarico Enrico, Bruno Sanguinetti, Nicolas Gisin, Robert Thew, Hugo Zbinden, Gerhard Schreiber, Abu Thomas, Wolfgang Sohler

New Journal of Physics, 2009 , no  11, pp.  3042-3055

Link to the publication

2008

Active one-way quantum computation with two-photon four-qubit cluster states
Scientific paper

Giuseppe Vallone, Pomarico Enrico, Francesco De Martini, Paolo Mataloni

Physical review letters, 2008 , vol.  100, pp.  0502-0506

Link to the publication

One‐way quantum computation via manipulation of polarization and momentum qubits in two‐photon cluster states
Scientific paper

Giuseppe Vallone, Pomarico Enrico, Francesco De Martini, Paolo Mataloni

Laser Physics Letters, 2008 , vol.  5, pp.  0398-0403

Link to the publication

One-way quantum computation with two-photon multiqubit cluster states
Scientific paper

Giuseppe Vallone, Pomarico Enrico, Francesco De Martini, Paolo Mataloni

Physical Review A, 2008 , vol.  78, pp.  2335-2339

Link to the publication

2007

Realization and characterization of a two-photon four-qubit linear cluster state
Scientific paper

Giuseppe Vallone, Pomarico Enrico, Paolo Mataloni, Francesco De Martini, Vincenzo Berardi

Physical review letters, 2007 , vol.  98, pp.  0502-0506

Link to the publication

Experimental realization of polarization qutrits from nonmaximally entangled states
Scientific paper

Giuseppe Vallone, Pomarico Enrico, Francesco De Martini, Paolo Mataloni, Marco Barbieri

Physical Review A, 2007 , vol.  76, pp.  2319-2323

Link to the publication

2025

Automated image-based detection of surface porosity defects in metals
Conference ArODES

Antoine Ottiger, Hannes Freisse, Irena Milosevic, Jérôme Extermann, Enrico Pomarico

AI days HES-SO '25

Link to the conference

Summary:

Porosity defects in metals can severely impact material properties and performance. Standard porosity detection techniques, such as dye penetrating testing, are time-consuming and often lack precision. In this study, we report on a deep-learning multi-class segmentation model developed to automatically identify porosities on laser-deposited bronze surfaces over steel, after lathe machining. Using samples with four distinct roughness levels, we constructed a dataset of 216 images (512 x 512 pixels each), labeled across three classes: background, uncovered porosity, and bronze-covered porosity. The model achieves F1-scores of 90% and 75% for the last classes, demonstrating its effectiveness in distinguishing porosity types. This model enables quantitative analysis of porosity geometry, revealing that, regardless of surface roughness, the average major and minor axes are approximately 0.2 mm, with a mean shape factor of 1.4 and an average area of 0.03 mm2. Notably, as roughness decreases, covered porosity levels rise non-linearly, likely due to material spreading during low-feed-rate facing operations.

2021

Fiber optic Distributed Temperature Sensing (DTS) with cm spatial resolution using the ID281 SNSPD system
Conference

Pomarico Enrico

Webinaire en collaboration avec ID Quantique, 27.05.2021 - 27.05.2021, Geneva

Link to the conference

Quantifying the effect of image compression on upervised learning tasks in microscopy
Conference ArODES

Enrico Pomarico, Cédric Schmidt, D. Nguyen, A. Planchette, Adrien Roux, S. Pagès, L. Batti, C. Clausen, T, Lasser, A. Radenovic, B. Sanguinetti, Jérôme Extermann

Proceedings of Focus on Microscopy 2021, Online Conference, 28-31 March 2021

Link to the conference

Optical projection tomography platform optimized for the gastrointestinal research
Conference ArODES

Cédric Schmidt, Arielle L. Planchette, David Nguyen, Gabriel Giardina, Yoan Neuenschwander, Alessio Mylonas, Adrien Descloux, Enrico Pomarico, Aleksandra Radenovic, Jérôme Extermann

Proceedings of Focus on Microscopy 2021, 28-31 March 2021, Online Conference

Link to the conference

Optical Projection Tomography Platform Optimized for the Gastrointestinal Research
Conference

Schmidt Cédric, Arielle L Planchette, David Nguyen, Gabriel Giardina, Neuenschwander Yoan, Alessio Mylonas, Adrien Descloux, Pomarico Enrico, Aleksandra Radenovic, Extermann Jérôme

Focus on Microscopy, 28.02.2021 - 31.03.2021, Online

Summary:

We present a fluorescent OPT platform optimized for the mesoscale imaging of the mouse gut at multiple wavelengths. In particular, we demonstrate a sub-30 μm resolution along the 3 dimensions and over more than 60 mm3 in a single acquisition. Here, we observe the spatial arrangement of the intestinal villi and the vasculature network penetrating until the extremity of the villi. We believe our approach to be of high potential for gastrointestinal pathology research.

2020

Unchaining hyperspectral imaging with quantum-inspired compression (UHIQIC)
Conference ArODES

Christoph Clausen, Bruno Sanguinetto, Yosef Akhtman, Enrico Pomarico, Jérôme Extermann

Proceedings of ATTRACT Online Conference "Igniting the Deep Tech Revolution", 22 September 2020, Online

Link to the conference

Summary:

With hyperspectral imaging, image content can be identified based on fine spectral details related to chemical composition. Immediate applications in smart agriculture and environmental monitoring have the potential for strong societal benefits. However, the technology struggles with the vast amount of data that it produces, in particular when deployed on satellites. The current movement towards increased use of lossy compression is highly risky, because even careful and tedious parameter tuning cannot guarantee that no applications are compromised. We implemented and validated a compression method that simultaneously provides a strong data reduction and preserves analysis results for all possible applications.

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