Michele Grossi

Orcid: 0000-0003-1718-1314

According to our database1, Michele Grossi authored at least 26 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Guided Quantum Compression for Higgs Identification.
CoRR, 2024

Symmetry breaking in geometric quantum machine learning in the presence of noise.
CoRR, 2024

2023
Resource saving via ensemble techniques for quantum neural networks.
Quantum Mach. Intell., December, 2023

Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol., December, 2023

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning.
Quantum Mach. Intell., June, 2023

Importance sampling for stochastic quantum simulations.
Quantum, April, 2023

Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging.
CoRR, 2023

Assessment of few-hits machine learning classification algorithms for low energy physics in liquid argon detectors.
CoRR, 2023

Trainability barriers and opportunities in quantum generative modeling.
CoRR, 2023

Quantum anomaly detection in the latent space of proton collision events at the LHC.
CoRR, 2023

Classification with Integrated Quantum and Spiking Neural Networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Fourier Iterative Amplitude Estimation.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Continuous Variables Quantum Algorithm for Solving Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

A Comparison of Quantum Computer Architectures in Running Fuzzy Inference Engines.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning.
CoRR, 2022

Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection.
CoRR, 2022

QuASK - Quantum Advantage Seeker with Kernels.
CoRR, 2022

Running the Dual-PQC GAN on noisy simulators and real quantum hardware.
CoRR, 2022

Conditional Born machine for Monte Carlo events generation.
CoRR, 2022

Quantum Convolutional Circuits for Earth Observation Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Angle Generator for Image Generation.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021
A Serverless Cloud Integration For Quantum Computing.
CoRR, 2021

Genetic Algorithms based on Bhattacharyya Distance for Quantum Measurement Error Mitigation.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Genetic Algorithms for Error Mitigation in Quantum Measurement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021


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