Publications
For a complete and continuously updated list, see my Google Scholar profile.
Accepted / forthcoming
- A.A. Mele, L. Bittel. Optimal learning of quantum channels in diamond distance. Nature Physics, accepted in principle for publication (2026).
Published
- L. Bittel, J. Eisert, L. Leone, A.A. Mele, S.F.E. Oliviero. A complete theory of the Clifford commutant. Quantum 10, 2171 (2026). arXiv
- D. Miller, K. Levi, L. Postler, A. Steiner, L. Bittel, G.A.L. White, Y. Tang, E.J. Kuehnke, A.A. Mele, et al. Experimental measurement and a physical interpretation of quantum shadow enumerators. Physical Review Research 8, 023318 (2026). Editors’ Suggestion. arXiv
- A. Angrisani, A.A. Mele, M.S. Rudolph, M. Cerezo, Z. Holmes. Simulating quantum circuits with arbitrary local noise using Pauli propagation. PRX Quantum 7, 020313 (2026). arXiv
- A.A. Mele, A. Angrisani, S. Ghosh, S. Khatri, J. Eisert, D.S. França, Y. Quek. Noise-induced shallow circuits and the absence of barren plateaus. Nature Physics 22, 751–756 (2026). arXiv
- A.E. Deneris, P. Braccia, P. Bermejo, N.L. Diaz, A.A. Mele, M. Cerezo. Analyzing the free states of one quantum resource theory as resource states of another. Advanced Quantum Technologies 9, e00702 (2026).
- F.A. Mele, A.A. Mele, L. Bittel, J. Eisert, V. Giovannetti, L. Lami, L. Leone, S.F.E. Oliviero. Learning quantum states of continuous-variable systems. Nature Physics 21, 2002–2008 (2025). arXiv
- L. Bittel, A.A. Mele, J. Eisert, L. Leone. Optimal trace-distance bounds for free-fermionic states: Testing and improved tomography. PRX Quantum 6, 030341 (2025). arXiv
- 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. Quantum 9, 1769 (2025). arXiv
- M. West, A.A. Mele, M. Larocca, M. Cerezo. Real classical shadows. Journal of Physics A: Mathematical and Theoretical 58, 245304 (2025). arXiv
- J. Liu, F. Wilde, A.A. Mele, X. Jin, L. Jiang, J. Eisert. Stochastic noise can be helpful for variational quantum algorithms. Physical Review A 111, 052441 (2025). arXiv
- L. Bittel, A.A. Mele, J. Eisert, L. Leone. PAC-learning of free-fermionic states is NP-hard. Quantum 9, 1665 (2025). arXiv
- A.A. Mele, Y. Herasymenko. Efficient learning of quantum states prepared with few fermionic non-Gaussian gates. PRX Quantum 6, 010319 (2025). arXiv
- J. Denzler, A.A. Mele, E. Derbyshire, T. Guaita, J. Eisert. Learning fermionic correlations by evolving with random translationally invariant Hamiltonians. Physical Review Letters 133, 240604 (2024). arXiv
- A.A. Mele. Introduction to Haar measure tools in quantum information: A beginner’s tutorial. Quantum 8, 1340 (2024).
- J.J. Meyer, M. Mularski, E. Gil-Fuster, A.A. Mele, F. Arzani, A. Wilms, J. Eisert. Exploiting symmetry in variational quantum machine learning. PRX Quantum 4, 010328 (2023). arXiv
- 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. Physical Review A 106, L060401 (2022). arXiv
Preprints
- T. Parella-Dilmé, J. Barberà-Rodríguez, S.F.E. Oliviero, A.A. Mele. Strong unitary designs in optimal depth and space. arXiv:2608.13491 (2026).
- C. Bravo-Prieto, W. Gong, A.A. Mele. Quantum memory advantage for quantum process tomography. arXiv:2607.13476 (2026).
- M. Fanizza, V. Iyer, J. Lee, A.A. Mele, F.A. Mele. Efficient learning of bosonic Gaussian unitaries. arXiv:2510.05531 (2025).
- L. Bittel, F.A. Mele, J. Eisert, A.A. Mele. Energy-independent tomography of Gaussian states. arXiv:2508.14979 (2025).
- N.L. Diaz, A.A. Mele, P. Bermejo, P. Braccia, A.E. Deneris, M. Larocca, M. Cerezo. A unified approach to quantum resource theories and a new class of free operations. arXiv:2507.10851 (2025).
- P. Bermejo, P. Braccia, A.A. Mele, N.L. Diaz, A.E. Deneris, M. Larocca, M. Cerezo. Characterizing quantum resourcefulness via group-Fourier decompositions. arXiv:2506.19696 (2025).
- M. West, A.A. Mele, M. Larocca, M. Cerezo. Random ensembles of symplectic and unitary states are indistinguishable. arXiv:2409.16500 (2024).
Research experience
- Google Quantum AI, Summer Researcher, Los Angeles, CA, USA, 2026. Mentor: Jarrod McClean.
- Los Alamos National Laboratory, Summer Researcher, New Mexico, USA, 2024. Mentor: Marco Cerezo.
Talks
Lecture notes and recordings from invited teaching are also collected on my Teaching page.
Invited seminars and lectures
- Quantum Innovators 2026, Institute for Quantum Computing, University of Waterloo (10/2026) — invited speaker at the Quantum Innovators Theory Workshop.
- EPFL Bernoulli Center (05/2026) — Quantum Learning Theory for Bosonic and Fermionic Systems. Program · Notes · Video
- Caltech IQIM Seminar (03/2026) — Optimal learning of quantum channels in diamond distance. Slides
- MIT Quantum Seminar (02/2026) — Optimal learning of quantum channels in diamond distance. Slides
- Harvard Quantum Seminar (02/2026) — Optimal learning of quantum channels in diamond distance. Slides
- QISCA Winter School (01/2026) — invited lecture on Learning $t$-doped Fermionic and Bosonic Gaussian States. Course · Notes · Video
- AIMS, Cape Town (10/2025) — invited four-hour tutorial on Haar Integration Tools in Quantum Information at The Theory of Quantum Learning Algorithms. Program
- Los Alamos National Laboratory (09/2025) — A complete theory of the Clifford commutant.
- QMATH, University of Copenhagen (08/2025) — invited lecturer on Representation Theory in Quantum Information Science (six blackboard lectures). Masterclass · Notes
- Galileo Galilei Institute, Florence (07/2025) — Effect of noise in typical quantum circuits. Slides
- Perimeter Institute for Theoretical Physics (05/2025) — Learning and testing quantum states of fermionic systems. Slides
- Higgs Centre for Theoretical Physics, Edinburgh (05/2025) — Effect of noise in typical quantum circuits. Slides
- Scuola Normale Superiore, Pisa (04/2025) — Effect of noise in typical quantum circuits. Slides
- Quantinuum (11/2024) — Learning and testing possibly magical fermionic states.
- Centre for Quantum Technologies, NUS (04/2024) — Noise-induced shallow circuits and the absence of barren plateaus.
- BraQIIIT Lab, IIIT-Delhi (04/2024) — Noise-induced shallow circuits and the absence of barren plateaus. Flyer
Selected conference contributions
Selected conference presentations of work I coauthored.
- QIP 2026 — Efficient Learning Algorithms for Structured Bosonic and Fermionic Unitary Operators. arXiv
- QIP 2026 — A complete theory of the Clifford commutant and its applications. Paper
- QTML 2025 — Pauli Propagation: A Computational Framework for Simulating Quantum Systems.
- TQC 2025 — A complete theory of the Clifford commutant. arXiv
- QIP 2025 — Learning and testing quantum states of fermionic systems. Video · Slides
- QIP 2025 — Tomography of bosonic systems and optimal estimates of the trace distance between Gaussian states. Video
- QCTiP 2025 — Tomography of bosonic systems and optimal estimates of the trace distance between Gaussian states.
- QTML 2024 — Learning quantum states of continuous-variable systems.
- TQC 2024 — Learning quantum states of continuous-variable systems. Video
- TQC 2024 — Noise-induced shallow circuits and the absence of barren plateaus. Video · Slides
- AQIS 2024 — Learning quantum states of continuous-variable systems.
- AQIS 2024 — Learning and testing possibly magical fermions.
- AQIS 2024 — Noise-induced shallow circuits and the absence of barren plateaus. Slides
- QTML 2022 — Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian variational ansatz (extended talk). Slides
- DPG 2022 — Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian variational ansatz. Slides
- DPG 2021 — Exploiting symmetry in variational quantum machine learning. Slides
Academic service
- Program Committees: QIP 2025, QTML 2025, and QCTiP 2026, QTML 2026, QIP 2027.
- Refereeing: referee for QIP, TQC, QTML, and QCTiP over multiple years, as well as for journals in quantum information and physics.
📬 If you’d like to discuss research, feel free to reach out: antoniomele.p@gmail.com.