Michele Grossi

1.2k total citations
47 papers, 412 citations indexed

About

Michele Grossi is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Michele Grossi has authored 47 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Michele Grossi's work include Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (23 papers) and Neural Networks and Reservoir Computing (7 papers). Michele Grossi is often cited by papers focused on Quantum Computing Algorithms and Architecture (35 papers), Quantum Information and Cryptography (23 papers) and Neural Networks and Reservoir Computing (7 papers). Michele Grossi collaborates with scholars based in Switzerland, Italy and Spain. Michele Grossi's co-authors include S. Vallecorsa, Antonio Mandarino, F. Sánchez, Pavel Lougovski, T. Papenbrock, Alessandro Roggero, Ivano Tavernelli, C. von Altrock, Francesco Tacchino and Giovanni Pelliccioli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of High Energy Physics.

In The Last Decade

Michele Grossi

44 papers receiving 397 citations

Peers

Michele Grossi

AMPO

CTM

NHEP

EEE

Joshua Job United States

Jules Tilly United Kingdom

Jin-Guo Liu China

Alex McCaskey United States

Kanav Setia United States

Shuxiang Cao United Kingdom

Hongxiang Chen China

Christa Zoufal Switzerland

Panagiotis Kl. Barkoutsos Switzerland

Joshua Job United States

Michele Grossi

561 ×1.8

231 ×1.4

AMPO

127 ×3.0

CTM

32 ×0.7

NHEP

58 ×1.6

EEE

Citations per year, relative to Michele Grossi Michele Grossi (= 1×) peers Joshua Job

Countries citing papers authored by Michele Grossi

Since Specialization

Citations

This map shows the geographic impact of Michele Grossi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michele Grossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Grossi more than expected).

Fields of papers citing papers by Michele Grossi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele Grossi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michele Grossi. The network helps show where Michele Grossi may publish in the future.

Co-authorship network of co-authors of Michele Grossi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Grossi. A scholar is included among the top collaborators of Michele Grossi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michele Grossi. Michele Grossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Giachero, A., et al.. (2025). Enhanced feature encoding and classification on distributed quantum hardware. Machine Learning Science and Technology. 6(1). 15056–15056. 1 indexed citations

Grossi, Michele, et al.. (2025). Quantum error mitigation for Fourier moment computation. Physical review. D. 111(3). 7 indexed citations

Grossi, Michele, et al.. (2024). Qutrit quantum battery: Comparing different charging protocols. Physical Review Research. 6(2). 21 indexed citations

Grossi, Michele, Giovanni Pelliccioli, & A. Vicini. (2024). From angular coefficients to quantum observables: a phenomenological appraisal in di-boson systems. Journal of High Energy Physics. 2024(12). 11 indexed citations

Grossi, Michele, et al.. (2024). Counterdiabatic optimized driving in quantum phase sensitive models. New Journal of Physics. 26(3). 33031–33031. 9 indexed citations

Rudolph, Manuel S., et al.. (2024). Trainability barriers and opportunities in quantum generative modeling. npj Quantum Information. 10(1). 16 indexed citations

Biassoni, M., A. Giachero, Michele Grossi, et al.. (2024). Assessment of few-hits machine learning classification algorithms for low-energy physics in liquid argon detectors. The European Physical Journal Plus. 139(8). 4 indexed citations

Tüysüz, Cenk, et al.. (2024). Symmetry Breaking in Geometric Quantum Machine Learning in the Presence of Noise. PRX Quantum. 5(3). 9 indexed citations

Schenk, Michael, et al.. (2024). Hybrid actor-critic algorithm for quantum reinforcement learning at CERN beam lines. Quantum Science and Technology. 9(2). 25012–25012. 6 indexed citations

10.

Acampora, Giovanni, et al.. (2024). Quantum Fuzzy Inference Engine for Particle Accelerator Control. IEEE Transactions on Quantum Engineering. 5. 1–13. 4 indexed citations

11.

Grossi, Michele, et al.. (2024). Automatic and Effective Discovery of Quantum Kernels. IEEE Transactions on Emerging Topics in Computational Intelligence. 1–10. 3 indexed citations

12.

Grossi, Michele, et al.. (2024). Measurements With A Quantum Vision Transformer: A Naive Approach. SHILAP Revista de lepidopterología. 295. 12003–12003.

13.

Vallecorsa, S., et al.. (2024). Hybrid ground-state quantum algorithms based on neural Schrödinger forging. Physical Review Research. 6(2). 4 indexed citations

14.

Grossi, Michele, M. Pierini, S. Vallecorsa, et al.. (2023). Unravelling physics beyond the standard model with classical and quantum anomaly detection. Machine Learning Science and Technology. 4(4). 45031–45031. 24 indexed citations

15.

Grossi, Michele, et al.. (2023). Finite-size criticality in fully connected spin models on superconducting quantum hardware. Physical review. E. 107(2). 24113–24113. 16 indexed citations

16.

Rehm, Florian, et al.. (2023). Precise image generation on current noisy quantum computing devices. Quantum Science and Technology. 9(1). 15009–15009. 3 indexed citations

17.

Grossi, Michele, et al.. (2023). Importance sampling for stochastic quantum simulations. Quantum. 7. 977–977. 13 indexed citations

18.

Borras, K., Lena Funcke, Michele Grossi, et al.. (2023). Impact of quantum noise on the training of quantum Generative Adversarial Networks. Journal of Physics Conference Series. 2438(1). 12093–12093. 11 indexed citations

19.

Grossi, Michele, et al.. (2023). A biological sequence comparison algorithm using quantum computers. Scientific Reports. 13(1). 14552–14552. 5 indexed citations

20.

Rehm, Florian, S. Vallecorsa, Michele Grossi, et al.. (2022). Quantum Angle Generator for Image Generation. CERN Document Server (European Organization for Nuclear Research). 425–429. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact