Luca Candelori

According to our database, Luca Candelori authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Shallow-circuit Supervised Learning on a Quantum Processor.

Luca Candelori, Swarnadeep Majumder, Antonio Mezzacapo, Javier Robledo Moreno, Kharen Musaelian, Santhanam Nagarajan, Sunil Pinnamaneni, Kunal Sharma, Dario Villani

CoRR, January, 2026

2025

Quantum Geometry of Data.

Alexander G. Abanov, Luca Candelori, Harold C. Steinacker, Martin T. Wells, Jerome R. Busemeyer, Cameron J. Hogan, Vahagn Kirakosyan, Nicola Marzari, Sunil Pinnamaneni, Dario Villani, Mengjia Xu, Kharen Musaelian

CoRR, July, 2025

Supervised Similarity for Firm Linkages.

Ryan Samson, Adrian Banner, Luca Candelori, Sebastien Cottrell, Tiziana di Matteo, Paul Duchnowski, Vahagn Kirakosyan, Jose Marques, Kharen Musaelian, Stefano Pasquali, Ryan Stever, Dario Villani

CoRR, June, 2025

Quantum Cognition Machine Learning for Forecasting Chromosomal Instability.

Giuseppe Di Caro, Vahagn Kirakosyan, Alexander G. Abanov, Luca Candelori, Nadine Hartmann, Ernest T. Lam, Kharen Musaelian, Ryan Samson, Dario Villani, Martin T. Wells, Richard J. Wenstrup, Mengjia Xu

CoRR, June, 2025

2024

Rational local unitary invariants of symmetrically mixed states of two qubits.

Luca Candelori, Vladimir Y. Chernyak, John R. Klein, Nick Rekuski

Adv. Appl. Math., February, 2024

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning.

Luca Candelori, Alexander G. Abanov, Jeffrey Berger, Cameron J. Hogan, Vahagn Kirakosyan, Kharen Musaelian, Ryan Samson, James E. T. Smith, Dario Villani, Martin T. Wells, Mengjia Xu

CoRR, 2024