Maurizio Ferrari Dacrema's Avatar

Maurizio Ferrari Dacrema

@mauriziofd.bsky.social

Assistant Professor at Politecnico di Milano, Italy. I like to travel, eat and teach. Current research interests machine learning for quantum computing, recommender systems evaluation and reproducibility.

27 Followers  |  44 Following  |  11 Posts  |  Joined: 01.02.2025  |  1.7375

Latest posts by mauriziofd.bsky.social on Bluesky

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Very happy to see a full room at our #RecSys2025 tutorial "Hands on #QuantumComputing for Recommender Systems" presented by me and Paolo Cremonesi. We covered gate model QC and #quantumannealing with examples on community detection and feature selection.
Materials: qclef.dei.unipd.it

#recsys

26.09.2025 13:10 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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Back from IEEE #QuantumWeek in Albuquerque.
Next stop: Bologna for the Italian Information Science Conference, where tomorrow I'll give an invited talk on using #MachineLearning for #QuantumComputing: circuit design, minor embedding, and bosonic state preparation. See you there!

08.09.2025 12:27 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

β€œIs AI good for teaching? Let’s ask an entrepreneur whose entire business is based on that, instead of actual experts”

05.09.2025 19:26 β€” πŸ‘ 15    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
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Comment on arXiv:2307.08384 "Efficient Quantum State Preparation with Walsh Series" In this paper, we discuss the Walsh Series Loader (WSL) algorithm, proposed by. In particular, we observe that the paper does not describe how to implement the term of order zero of the operator WSL i...

Link to the paper: arxiv.org/abs/2502.05193

28.08.2025 11:49 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

See you in Albuquerque for #QCE2025 where my PhD student @ricpellini will present β€œOn the Correct Implementation of the Walsh Series Loader”.

We propose how to implement an essential component that was not described in the original paper.

#quantumweek #quantumcomputing

28.08.2025 11:49 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Heading back from #SIGIR2025!

It was a pleasure to spend this week in the beautiful Padova meeting and discussing with the community, alongside my PhD students Riccardo Pellini and Michael Benigni

17.07.2025 17:09 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Heading to Padova to attend #SIGIR25, see you there!

12.07.2025 16:09 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Good Science

XKCD on fire today. ”If you think curiosity without rigor is bad, you should see rigor without curiosity.” xkcd.com/3101/

12.06.2025 00:00 β€” πŸ‘ 39    πŸ” 9    πŸ’¬ 0    πŸ“Œ 0
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Entering my last month as a visiting researcher at the SQMS Center, #Fermilab, working on state preparation for Bosonic #quantumcomputing.

It has been a great experience so far! Sad to see this period come to a close, but I’m glad the project we've been working on will continue as I return home.

09.05.2025 15:37 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Go forth and reproduce... other people's RecSys experiments and report your findings to the RecSys community via the RecSys Reproducibility Track! Abstract deadline 🚨 May 6 🚨
More info πŸ‘‰ recsys.acm.org/recsys25/cal...

23.04.2025 13:20 β€” πŸ‘ 2    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
https://www.codabench.org/competitions/7230/

🧨 Submission system open. Leaderboard goes live!

The RecSys Challengeβ€―is one of the most important global competitions in the field of recommender systems. This year, Synerise co-organizes the challenge: t.co/mHXNL6aNQn

πŸš€ Let the challenge beginβ€”good luck to all! πŸš€

10.04.2025 18:22 β€” πŸ‘ 4    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0
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Which came first?

24.03.2025 21:05 β€” πŸ‘ 100    πŸ” 20    πŸ’¬ 2    πŸ“Œ 3

Check the call of the reproducibility track, which is also open to resource, methodology and reflective papers!

#recsys #recommendersystems

17.03.2025 16:11 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Dear colleague/student, prepare to reschedule all meetings!

19.02.2025 08:57 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Excited to be leaving for a three months visiting at #Fermilab, Chicago, where I will work on machine learning methods for state preparation on bosonic #quantumcomputing! The expedition is funded by the EU NGI Enrichers program @ngi4eu.bsky.social

19.02.2025 08:51 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Hello world!

02.02.2025 16:43 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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