Winners of a Sapienza Research Call 2024-2025
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@NESYA Andrea Ceschini and I have won a ~5k€ Sapienza Research Call “AQUA-QLEAR: Achieving Quantum Utility and Advantage through Quantum Learning for Enhanced and Accelerated Results”.

I'm a mathematician specialized in Data Science currently pursuing a PhD in Quantum Computing
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Published:
@NESYA Andrea Ceschini and I have won a ~5k€ Sapienza Research Call “AQUA-QLEAR: Achieving Quantum Utility and Advantage through Quantum Learning for Enhanced and Accelerated Results”.
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Published:
I’m happy to announce that we will share two contributions at the conference ICASSP 2026. The first contribution is a natural extension and enhancement of the Hybrid quantum-classical approach for anomaly detection in one-dimensional time series discussed here. The second contribution, instead, is focused on the QAOA and proposes a new variant of this quantum optimization algorithm where the standard QAOA ansatz is enhanced via a blockwise optimization strategy of its parameters and with the addition of a multi-parameterized layer before the measurements. Further details about this second contribution will be given in a subsequent announcement (I still have to update the blog!). If you are in Barcelona in the period 4-8 may we have our presentations already scheduled (see here and here), feel free to say hi! Read more
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With a little bit of delay, I wanted to announce that our contributions to the IJCNN 2025 discussed here and here have been published. Both contributions are available in the conference proceedings, in particular here and here. Read more
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I have just published a simplified version of the dataset we recently published on Zenodo (see here), also on Kaggle. The simplified version is available here. Read more
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We have just published on Zenodo the curated dataset associated to tha paper Machine Learning-Guided microfluidic optimization of clinically inspired liposomes for nanomedicine applications The first version of the dataset is available here. Read more