Research

Curriculum Vitae CV | Google Scholar | arXiv | Orcid .

Publications

(For a complete and updated list of my publications, please visit my Google Scholar profile.)

J. Denzler, A.A. Mele, E. Derbyshire, T. Guaita, J. Eisert. Learning fermionic correlations by evolving with random translationally invariant Hamiltonians, 2024. Physical Review Letters 133 (24), 240604.
L. Bittel, F.A. Mele, A.A. Mele, S. Tirone, L. Lami. Optimal estimates of trace distance between bosonic Gaussian states and applications to learning, 2024. ArXiv preprint.
M. West, A.A. Mele, M. Larocca, M. Cerezo. Real classical shadows, 2024. ArXiv preprint.
L. Bittel, A.A. Mele, J. Eisert, L. Leone. Optimal trace-distance bounds for free-fermionic states: Testing and improved tomography, 2024. ArXiv preprint.
M. West, A.A. Mele, M. Larocca, M. Cerezo. Random ensembles of symplectic and unitary states are indistinguishable, 2024. ArXiv preprint.
D. Miller, K. Levi, L. Postler, A. Steiner, L. Bittel, G.A.L. White, Y. Tang, A.A. Mele, et al. Experimental measurement and a physical interpretation of quantum shadow enumerators, 2024. ArXiv preprint.
A.A. Mele. Introduction to Haar Measure Tools in Quantum Information: A Beginner’s Tutorial, 2024. Quantum 8, 1340.
F.A. Mele, A.A. Mele, L. Bittel, J. Eisert, V. Giovannetti, L. Lami, L. Leone, et al. Learning quantum states of continuous variable systems, 2024. ArXiv preprint.
L. Bittel, A.A. Mele, J. Eisert, L. Leone. PAC-learning of free-fermionic states is NP-hard, 2024. ArXiv preprint.
A.A. Mele, A. Angrisani, S. Ghosh, S. Khatri, J. Eisert, D.S. França, Y. Quek. Noise-induced shallow circuits and absence of barren plateaus, 2024. ArXiv preprint.
A.A. Mele, Y. Herasymenko. Efficient learning of quantum states prepared with few fermionic non-Gaussian gates, 2024. ArXiv preprint.
J.J. Meyer, M. Mularski, E. Gil-Fuster, A.A. Mele, F. Arzani, A. Wilms, J. Eisert. Exploiting symmetry in variational quantum machine learning, 2023. PRX Quantum 4 (1), 010328.
A.A. Mele, G.B. Mbeng, G.E. Santoro, M. Collura, P. Torta. Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian Variational Ansatz, 2022. Physical Review A 106 (6), L060401.
J. Liu, F. Wilde, A.A. Mele, L. Jiang, J. Eisert. Stochastic noise can be helpful for variational quantum algorithms, 2022. ArXiv preprint.

Talks

Conferences:

QIP 2025 conference, Learning and Testing quantum states of fermionic systems.
QIP 2025 conference, Tomography of bosonic systems and optimal estimates of the trace distance between Gaussian states, 2024, presented by my coauthor (twin brother) Mele Francesco Anna.
TQC 2024 conference, Noise-induced shallow circuits and absence of barren plateaus, 2024. (Youtube)
TQC 2024 conference, Learning quantum states of continuous variable systems, 2024, presented by my coauthor (twin brother) Mele Francesco Anna. (Youtube)
QTML conference, Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian Variational Ansatz, 2022, Extended talk. Slides
DPG conference, Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian Variational Ansatz, 2022. Slides
DPG conference, Exploiting symmetry in variational quantum machine learning, 2022. Slides

Invited seminars:

Quantinuum (London) seminar, Efficient learning of quantum states prepared with few fermionic non-Gaussian gates, 2024, Invited talk.
CRC 2024 workshop Berlin, Noise-induced shallow circuits and absence of barren plateaus, 2024.
CQT seminar, National University of Singapore, Noise-induced shallow circuits and absence of barren plateaus, 2024, Invited talk. (Youtube)
BraQIIIT lab seminar, IIIT-Delhi, Noise-induced shallow circuits and absence of barren plateaus, 2024, Invited talk.

Academic service

QIP 2025 conference, Program Committee member.

Internships and Workshops

Internships:

LANL Quantum Computing Summer School 2024, Los Alamos National Laboratory (LANL), 2024, summer research internship.

Workshops:

QMATH Masterclass 2024 on Quantum simulation and Hamiltonian complexity, University of Copenhagen, 2024.
QMATH Masterclass 2023 on Quantum Learning Theory, University of Copenhagen, 2023.
PCMI 2023 Graduate Summer School in Quantum Computation, IAS/Park City Mathematics Institute. 2023.
QMATH Masterclass on Entropy Inequalities in Quantum Information Science, University of Copenhagen, 2022.