ANDREA CESCHINI

PhD Student

PhD program:: XXXVII
email: andrea.ceschini@uniroma1.it, andrea@ceschini.it
phone: 3387655663
building: San Pietro in Vincoli - RM032
room: 1° piano (floor), stanza n. 111




advisor: prof. Massimo Panella

Research Topic: Quantum Machine Learning on NISQ devices
Curriculum: Information and Communication Engineering

Ph.D. start date : November 2021
Ph.D. Advisory Board: prof. Fabio Sciarrino, prof. Stefan Wabnitz, prof. Giuseppe Scotti


Research products

11573/1714257 - 2024 - A review on quantum approximate optimization algorithm and its variants
Blekos, Kostas; Brand, Dean; Ceschini, Andrea; Chou, Chiao-Hui; Li, Rui-Hao; Pandya, Komal; Summer, Alessandro - 01g Articolo di rassegna (Review)
paper: PHYSICS REPORTS (Elsevier BV:PO Box 211, 1000 AE Amsterdam Netherlands:011 31 20 4853757, 011 31 20 4853642, 011 31 20 4853641, EMAIL: nlinfo-f@elsevier.nl, INTERNET: http://www.elsevier.nl, Fax: 011 31 20 4853598) pp. 1-66 - issn: 0370-1573 - wos: WOS:001221953700001 (26) - scopus: 2-s2.0-85188010855 (24)

11573/1710440 - 2024 - Convergenza e generalizzazione nelle reti neurali quantistiche
Ceschini, A.; Lavagna, L.; De Falco, F.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: XXXVIII Riunione Annuale dei Ricercatori di Elettrotecnica (Bari, Italia)
book: Memorie ET2024 - ()

11573/1717751 - 2024 - Advancing Quantum Machine Learning: Efficient Hybrid Quantum Computation
Ceschini, A.; Panella, M. - 04d Abstract in atti di convegno
conference: QUANTUM COMPUTING ANNUAL MEETING ICSC - SPOKE 10, Research and Innovation (Politecnico di Milano, Milano, Italia)
book: Meeting Centro Nazionale di Ricerca in HPC, Big Data and Quantum Computing (ICSC) - ()

11573/1717675 - 2024 - A variational approach to quantum gated recurrent units
Ceschini, A.; Rosato, A.; Panella, M. - 01a Articolo in rivista
paper: JOURNAL OF PHYSICS COMMUNICATIONS (Bristol : IOP Publishing) pp. - - issn: 2399-6528 - wos: WOS:001295963000001 (0) - scopus: 2-s2.0-85202077030 (0)

11573/1710441 - 2024 - Modelli generativi quantistici
De Falco, F.; Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: XXXVIII Riunione Annuale dei Ricercatori di Elettrotecnica (Bari, Italia)
book: Memorie ET2024 - ()

11573/1717296 - 2024 - Quantum hybrid diffusion models for image synthesis
De Falco, F.; Ceschini, A.; Sebastianelli, A.; Le Saux, B.; Panella, M. - 01a Articolo in rivista
paper: KI - KÜNSTLICHE INTELLIGENZ (Heidelberg; Berlin: Springer Gesellschaft für Informatik / Fachbereich Künstliche Intelligenz) pp. - - issn: 0933-1875 - wos: WOS:001287484700001 (1) - scopus: 2-s2.0-85200997545 (1)

11573/1729072 - 2024 - Evolving hybrid quantum-classical GRU architectures for multivariate time series
De Falco, F.; Lavagna, L.; Ceschini, A.; Rosato, A.; Panella, M. - 04b Atto di convegno in volume
conference: 34th IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 (London; United Kingdom)
book: IEEE International Workshop on Machine Learning for Signal Processing, MLSP - (979-8-3503-7225-0)

11573/1717680 - 2024 - Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization
De Falco, F.; Piperno, S.; Lavagna, L.; Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

11573/1728100 - 2024 - Quantum latent diffusion models
De Falco, Francesca; Ceschini, Andrea; Sebastianelli, Alessandro; Le Saux, Bertrand; Panella, Massimo - 01a Articolo in rivista
paper: QUANTUM MACHINE INTELLIGENCE (Cham: Springer International Publishing) pp. 1-20 - issn: 2524-4906 - wos: (0) - scopus: 2-s2.0-85210412201 (0)

11573/1721557 - 2024 - A layerwise-multi-angle approach to fine-tuning the quantum approximate optimization algorithm
Lavagna, L.; Ceschini, A.; Rosato, A.; Panella, M. - 04b Atto di convegno in volume
conference: 2024 International Joint Conference on Neural Networks, IJCNN 2024 (Yokohama; Giappone)
book: Proceedings of the International Joint Conference on Neural Networks - (9798350359312)

11573/1717679 - 2024 - Quantum Generative Modeling via Straightforward State Preparation
Lavagna, L.; De Falco, F.; Piperno, S.; Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

11573/1710443 - 2024 - Il quantum computing per la tomografia elettromagnetica
Mottola, V.; Ceschini, A.; Panella, M.; Tamburrino, A. - 04d Abstract in atti di convegno
conference: XXXVIII Riunione Annuale dei Ricercatori di Elettrotecnica (Bari, Italia)
book: Memorie ET2024 - ()

11573/1717681 - 2024 - Quantum Enhanced Knowledge Distillation
Piperno, S.; Lavagna, L.; De Falco, F.; Ceschini, A.; Rosato, A.; Windridge, D.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2024) (University of Melbourne, Melbourne, Australia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2024) - ()

11573/1720431 - 2024 - Machine learning forecast of surface solar irradiance from meteo satellite data
Sebastianelli, Alessandro; Serva, Federico; Ceschini, Andrea; Paletta, Quentin; Panella, Massimo; Le Saux, Bertrand - 01a Articolo in rivista
paper: REMOTE SENSING OF ENVIRONMENT (Elsevier Science Incorporated / NY Journals:Madison Square Station, PO Box 882:New York, NY 10159:(212)633-3730, EMAIL: usinfo-f@elsevier.com, INTERNET: http://www.elsevier.com, Fax: (212)633-3680) pp. - - issn: 0034-4257 - wos: WOS:001324822500001 (0) - scopus: 2-s2.0-85204804468 (0)

11573/1675690 - 2023 - Analysis of Logic Schemes for the Optical Implementation of Pointwise Operations in Gated Recurrent Unit Cells
Alam, Badrul; Ceschini, Andrea; Rosato, Antonello; Panella, Massimo; Asquini, Rita - 02a Capitolo o Articolo
book: Sensors and Microsystems - (978-3-031-25705-6; 978-3-031-25706-3)

11573/1686456 - 2023 - Modular quantum circuits for secure communication
Ceschini, A.; Rosato, A.; Panella, M. - 01a Articolo in rivista
paper: IET QUANTUM COMMUNICATION (Receiving publisher (01/01/2021) : Wiley Stevenage: Institution of Engineering and Technology, 2020-) pp. 208-217 - issn: 2632-8925 - wos: WOS:001117992800006 (1) - scopus: 2-s2.0-85168259862 (2)

11573/1710429 - 2023 - Towards Quantum Diffusion Models
De Falco, F.; Ceschini, A.; Sebastianelli, A.; Panella, M.; Le Saux, B. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2023) (CERN, Ginevra, Svizzera)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2023) - ()

11573/1690651 - 2023 - Resource saving via ensemble techniques for quantum neural networks
Incudini, M.; Grossi, M.; Ceschini, A.; Mandarino, A.; Panella, M.; Vallecorsa, S.; Windridge, D. - 01a Articolo in rivista
paper: QUANTUM MACHINE INTELLIGENCE (Cham: Springer International Publishing) pp. 1-24 - issn: 2524-4906 - wos: WOS:001079309800002 (1) - scopus: 2-s2.0-85173578065 (3)

11573/1710430 - 2023 - Towards Strategies to Avoid Barren Plateaus
Mair, S.; Sebastianelli, A.; Ceschini, A.; Vidal, S.; Panella, M.; Le Saux, B. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2023) (CERN, Ginevra, Svizzera)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2023) - ()

11573/1710427 - 2023 - A General Approach for Dropout in Quantum Neural Networks
Scala, F.; Ceschini, A.; Gerace, D.; Panella, M. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2023) (CERN, Ginevra, Svizzera)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2023) - ()

11573/1696640 - 2023 - A general approach to dropout in quantum neural networks
Scala, Francesco; Ceschini, Andrea; Panella, Massimo; Gerace, Dario - 01a Articolo in rivista
paper: ADVANCED QUANTUM TECHNOLOGIES (Weinheim: Wiley-VCH Verlag) pp. 1-18 - issn: 2511-9044 - wos: WOS:001118464600001 (3) - scopus: 2-s2.0-85179328285 (4)

11573/1664101 - 2022 - All-optical logic gates based on semiconductor optical amplifiers for implementing deep recurrent neural networks
Alam, B.; Ceschini, A.; Rosato, A.; Panella, M.; Asquini, R. - 04d Abstract in atti di convegno
conference: 53.ma Riunione Annuale dell’Associazione Società Italiana di Elettronica (SIE) (Pizzo (VV), Italia)
book: Atti della 53.ma Riunione Annuale dell’Associazione Società Italiana di Elettronica (SIE) - ()

11573/1655649 - 2022 - All-optical and logic gate based on semiconductor optical amplifiers for implementing deep recurrent neural networks
Alam, Badrul; Ceschini, Andrea; Rosato, Antonello; Panella, Massimo; Asquini, Rita - 04b Atto di convegno in volume
conference: International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) (Torino (ITA))
book: 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) - (978-1-6654-7898-4; 978-1-6654-7899-1)

11573/1658031 - 2022 - Hybrid Quantum-Classical Recurrent Neural Networks for Time Series Prediction
Ceschini, A.; Rosato, A.; Panella, M. - 04b Atto di convegno in volume
conference: 2022 International Joint Conference on Neural Networks, IJCNN 2022 (Padova, Italy)
book: Proceedings of the International Joint Conference on Neural Networks - (978-1-7281-8671-9)

11573/1710435 - 2022 - Reti neurali quantistiche per dispositivi Noisy Intermediate-Scale Quantum (NISQ)
Ceschini, A.; Rosato, A.; Panella, M. - 04d Abstract in atti di convegno
conference: XXXV Riunione Annuale dei Ricercatori di Elettrotecnica (Ancona, Italia)
book: Memorie ET2022 - ()

11573/1655500 - 2022 - Multivariate time series analysis for electrical power theft detection in the distribution grid
Ceschini, A.; Rosato, A.; Succetti, F.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 (Prague; Czech Republic)
book: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2022 - (978-1-6654-8537-1)

11573/1584748 - 2022 - Design of an LSTM cell on a quantum hardware
Ceschini, Andrea; Rosato, Antonello; Panella, Massimo - 01a Articolo in rivista
paper: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS (Piscataway, NJ : Institute of Electrical and Electronics Engineers, c2004-) pp. 1822-1826 - issn: 1549-7747 - wos: WOS:000770045800235 (4) - scopus: 2-s2.0-85127912184 (12)

11573/1664099 - 2022 - Ensembling Techniques for Quantum Neural Networks
Incudini, M.; Grossi, M.; Ceschini, A.; Mandarino, A.; Panella, M.; Vallecorsa, S.; Windridge, D.; Di Pierro, A. - 04d Abstract in atti di convegno
conference: Quantum Techniques in Machine Learning (QTML 2022) (Napoli, Italia)
book: Proceedings of Quantum Techniques in Machine Learning (QTML 2022) - ()

11573/1657000 - 2022 - A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition
Succetti, F.; Rosato, A.; Di Luzio, F.; Ceschini, A.; Panella, M. - 01a Articolo in rivista
paper: ELECTROMAGNETIC WAVES (EMW Publishing:PO Box 425517:Cambridge, MA 02142:(617)354-9597, INTERNET: http://www.emwave.com, Fax: (617)547-3137) pp. 127-141 - issn: 1070-4698 - wos: WOS:000824736600001 (12) - scopus: 2-s2.0-85134012948 (13)

11573/1630054 - 2021 - Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid
Ceschini, A.; Rosato, A.; Succetti, F.; Di Luzio, F.; Mitolo, M.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 (Bari; Italy)
book: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings - (978-1-6654-3613-7)

11573/1630052 - 2021 - Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks
Succetti, F.; Di Luzio, F.; Ceschini, A.; Rosato, A.; Araneo, R.; Panella, M. - 04b Atto di convegno in volume
conference: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 (Bari; Italy)
book: 21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings - (978-1-6654-3613-7)

11573/1566169 - 2021 - Time series prediction with autoencoding LSTM networks
Succetti, Federico; Ceschini, Andrea; Di Luzio, Francesco; Rosato, Antonello; Panella, Massimo - 04b Atto di convegno in volume
conference: 6th International Work-Conference on Artificial Neural Networks, IWANN 2021 (Virtual, Online)
book: Lecture Notes in Computer Science - (978-3-030-85098-2; 978-3-030-85099-9)

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