Skip to main content
Ricerc@Sapienza
Toggle navigation
Home
Login
Home
andrea.ceschini@uniroma1.it
Andrea Ceschini
Assegnista di ricerca
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
andrea.ceschini@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
New advancements on Quantum Latent Diffusion Models
Proceedings of International Conference on Quantum Technology for High-Energy Physics (QT4HEP 2025)
2025
On hybrid quanvolutional neural networks optimization
QUANTUM MACHINE INTELLIGENCE
2025
Convergenza e generalizzazione nelle reti neurali quantistiche
Memorie ET2024
2024
Modelli generativi quantistici
Memorie ET2024
2024
Il quantum computing per la tomografia elettromagnetica
Memorie ET2024
2024
A review on quantum approximate optimization algorithm and its variants
PHYSICS REPORTS
2024
Quantum hybrid diffusion models for image synthesis
KI - KÜNSTLICHE INTELLIGENZ
2024
A variational approach to quantum gated recurrent units
JOURNAL OF PHYSICS COMMUNICATIONS
2024
Quantum Generative Modeling via Straightforward State Preparation
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Enhancing QAOA Ansatz via Multi-Parameterized Layer and Blockwise Optimization
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Quantum Enhanced Knowledge Distillation
Proceedings of Quantum Techniques in Machine Learning (QTML 2024)
2024
Advancing Quantum Machine Learning: Efficient Hybrid Quantum Computation
Meeting Centro Nazionale di Ricerca in HPC, Big Data and Quantum Computing (ICSC)
2024
Machine learning forecast of surface solar irradiance from meteo satellite data
REMOTE SENSING OF ENVIRONMENT
2024
A layerwise-multi-angle approach to fine-tuning the quantum approximate optimization algorithm
Proceedings of the International Joint Conference on Neural Networks
2024
Quantum latent diffusion models
QUANTUM MACHINE INTELLIGENCE
2024
Evolving hybrid quantum-classical GRU architectures for multivariate time series
IEEE International Workshop on Machine Learning for Signal Processing, MLSP
2024
Q-SCALE: Quantum computing-based sensor calibration for advanced learning and efficiency
Proceedings IEEE Quantum Week 2024, IEEE International Conference on Quantum Computing and Engineering (QCE 2024)
2024
Analysis of logic schemes for the optical implementation of pointwise operations in gated recurrent unit cells
Sensors and Microsystems
2023
Modular quantum circuits for secure communication
IET QUANTUM COMMUNICATION
2023
Resource saving via ensemble techniques for quantum neural networks
QUANTUM MACHINE INTELLIGENCE
2023
1
2
next >
last »
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma