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Ceschini, Andrea
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1

A review on Quantum Approximate Optimization Algorithm and ..:

Blekos, Kostas ; Brand, Dean ; Ceschini, Andrea...
Physics Reports.  1068 (2024)  - p. 1-66 , 2024
Link: https://doi.org/10.1016/..
 
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2

Quantum Hybrid Diffusion Models for Image Synthesis:

De Falco, Francesca ; Ceschini, Andrea ; Sebastianelli, Alessandro..
KI - Künstliche Intelligenz.  , 2024
Link: https://doi.org/10.1007/..
 
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3

A Variational Approach to Quantum Gated Recurrent Units:

Ceschini, Andrea ; Rosato, Antonello ; Panella, Massimo
Journal of Physics Communications.  , 2024
Link: https://doi.org/10.1088/..
 
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4

Modular quantum circuits for secure communication:

Ceschini, Andrea ; Rosato, Antonello ; Panella, Massimo
IET Quantum Communication.  4 (2023)  4 - p. 208-217 , 2023
Link: https://doi.org/10.1049/..
 
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5

Resource saving via ensemble techniques for quantum neural ..:

Incudini, Massimiliano ; Grossi, Michele ; Ceschini, Andrea...
Quantum Machine Intelligence.  5 (2023)  2 - p. , 2023
Link: https://doi.org/10.1007/..
 
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6

Analysis of Logic Schemes for the Optical Implementation of..:

, In: Lecture Notes in Electrical Engineering; Sensors and Microsystems,
Alam, Badrul ; Ceschini, Andrea ; Rosato, Antonello.. - p. 167-173 , 2023
Link: https://doi.org/10.1007/..
 
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7

A General Approach to Dropout in Quantum Neural Networks:

Scala, Francesco ; Ceschini, Andrea ; Panella, Massimo.
Advanced Quantum Technologies.  , 2023
Link: https://doi.org/10.1002/..
 
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8

All-optical AND Logic Gate Based on Semiconductor Optical A..:

, In: 2022 International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD),
Alam, Badrul ; Ceschini, Andrea ; Rosato, Antonello.. - p. 25-26 , 2022
Link: https://doi.org/10.1109/..
 
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9

Multivariate Time Series Analysis for Electrical Power Thef..:

, In: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe),
Ceschini, Andrea ; Rosato, Antonello ; Succetti, Federico.. - p. 1-5 , 2022
Link: https://doi.org/10.1109/..
 
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10

Design of an LSTM Cell on a Quantum Hardware:

Ceschini, Andrea ; Rosato, Antonello ; Panella, Massimo
IEEE Transactions on Circuits and Systems II: Express Briefs.  69 (2022)  3 - p. 1822-1826 , 2022
Link: https://doi.org/10.1109/..
 
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11

Hybrid Quantum-Classical Recurrent Neural Networks for Time..:

, In: 2022 International Joint Conference on Neural Networks (IJCNN),
Ceschini, Andrea ; Rosato, Antonello ; Panella, Massimo - p. 1-8 , 2022
Link: https://doi.org/10.1109/..
 
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12

Time Series Prediction with Autoencoding LSTM Networks:

, In: Advances in Computational Intelligence; Lecture Notes in Computer Science,
Succetti, Federico ; Ceschini, Andrea ; Di Luzio, Francesco.. - p. 306-317 , 2021
Link: https://doi.org/10.1007/..
 
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13

A General Approach to Dropout in Quantum Neural Networks:

Scala, Francesco ; Ceschini, Andrea ; Panella, Massimo.
http://arxiv.org/abs/2310.04120.  , 2023
Link: http://arxiv.org/abs/231..
 
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14

Resource Saving via Ensemble Techniques for Quantum Neural ..:

Incudini, Massimiliano ; Grossi, Michele ; Ceschini, Andrea...
http://arxiv.org/abs/2303.11283.  , 2023
Link: http://arxiv.org/abs/230..
 
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15

A Review on Quantum Approximate Optimization Algorithm and ..:

Blekos, Kostas ; Brand, Dean ; Ceschini, Andrea...
http://arxiv.org/abs/2306.09198.  , 2023
Link: http://arxiv.org/abs/230..
 
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