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USCVIII - General Assembly

14–18 Oct 2024
Galzignano Resort Terme & Golf
UTC timezone

Session

Session 3

15 Oct 2024, 09:00
Sala Plenaria (Galzignano Resort Terme & Golf)

Sala Plenaria

Galzignano Resort Terme & Golf

Conveners

Session 3: Quantum Computing

  • Andrea Bulgarelli (Istituto Nazionale di Astrofisica (INAF))

Description

Quantum computing

Presentation materials

There are no materials yet.

  1. 51. Overview of INAF Quantum Computing activities
    Prof. Roberto Scaramella (Istituto Nazionale di Astrofisica (INAF))
    15/10/2024, 09:00
    Quantum computing

    I will summarise the INAF participation to the Spoke 10 of the ICSC (National Research Centre for High Performance Computing, Big Data and Quantum Computing

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  2. 17. Performance and Benchmarking of Quantum Convolutional Neural Networks in the Astrophysical Signal Detection: Focus on Transient Gamma-Ray Bursts
    Farida Farsian (Istituto Nazionale di Astrofisica (INAF))
    15/10/2024, 09:20
    Computing

    The intersection of Quantum Computing and Machine Learning, known as Quantum Machine Learning (QML), presents significant potential for advancing data-intensive fields like astrophysics. Astrophysics increasingly relies on Deep Learning (DL) for handling vast datasets generated by ground-based and satellite experiments, though the potential of Quantum DL remains underexplored. This study...

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  3. 34. Quantum Autoencoders for anomaly detection to identify Gamma-Ray Bursts in the Ratemeters of the AGILE Anti-Coincidence System
    Alessandro Rizzo (Istituto Nazionale di Astrofisica (INAF))
    15/10/2024, 09:35
    Computing

    Quantum Machine Learning (QML) is an emerging field that integrates Machine Learning techniques with quantum computing to take advantage of the computational power of qubits. By leveraging quantum phenomena such as superposition and entanglement, QML has the potential to solve complex problems significantly faster than traditional methods, enhancing efficiency in data analysis, optimization...

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  4. 35. A Quantum Genetic Algorithm for Cosmological Parameters Estimation
    Giuseppe Sarracino (Istituto Nazionale di Astrofisica (INAF))
    15/10/2024, 09:50
    Computing

    A hybrid quantum genetic algorithm has been developed to minimize $\chi^2$ functions of different cosmological probes, to find the best-fit value for two cosmological parameters. The algorithm computes the merit function classically, and then uses a quantum circuit to entangle the population and perform crossover and mutation operations. The results show consistency with the drawn plots of the...

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  5. 52. Round table and final discussion
    15/10/2024, 10:05

    Round table and discussion on quantum computing in INAF

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