Research

Journal publications

1. Pauli Propagation: A Computational Framework for Simulating Quantum Systems
   Manuel S. Rudolph, Tyson Jones, Yanting Teng, Armando Angrisani, Zoë Holmes.
   PRX Quantum, invited tutorial, accepted, 2026.

2. On the Complexity of Quantum States and Circuits from the Orthogonal and Symplectic Groups
   Oxana Shaya, Zoë Holmes, Christoph Hirche, Armando Angrisani.
   Journal of Physics A: Mathematical and Theoretical 59, 205302, 2026.

3. Noise-induced shallow circuits and absence of barren plateaus
   Antonio Anna Mele, Armando Angrisani, Soumik Ghosh, Sumeet Khatri, Jens Eisert, Daniel Stilck França, Yihui Quek.
   Nature Physics 22, 751–756, 2026.

4. Simulating quantum circuits with arbitrary local noise using Pauli Propagation
   Armando Angrisani, Antonio A. Mele, Manuel S. Rudolph, M. Cerezo, Zoë Holmes.
   PRX Quantum 7, 020313, 2026.

5. Efficient quantum-enhanced classical simulation for patches of quantum landscapes
   Sacha Lerch, Ricard Puig, Manuel S. Rudolph, Armando Angrisani, Tyson Jones, M. Cerezo, Supanut Thanasilp, Zoë Holmes.
   PRX Quantum, accepted, 2026.

6. Classically estimating observables of noiseless quantum circuits
   Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, M. Cerezo, Zoë Holmes, Hsin-Yuan Huang.
   Physical Review Letters 135, 170602, 2025. Editors’ Suggestion.

7. Efficient simulation of parametrized quantum circuits under non-unital noise through Pauli backpropagation
   Victor Martinez, Armando Angrisani, Ekaterina Pankovets, Omar Fawzi, Daniel Stilck França.
   Physical Review Letters 134, 250602, 2025.

8. Learning unitaries with quantum statistical queries
   Armando Angrisani.
   Quantum 9, 1817, 2025.

9. Quantum Differential Privacy in the Local Model
   Armando Angrisani, Elham Kashefi.
   IEEE Transactions on Information Theory 71(5), 3675–3692, 2025.

Conference proceedings

Information-Theoretic Limits of Quantum Learning via Data Compression
Armando Angrisani, Brian Coyle, Elham Kashefi.
2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy, pp. 19–26, 2025.

Preprints

1. Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems
   Nikita Guseynov, Zoë Holmes, Armando Angrisani.
   arXiv:2604.19625, 2026.

2. Quantum simulation in the Heisenberg picture via vectorization
   Shao-Hen Chiew, Armando Angrisani, Zoë Holmes, Giuseppe Carleo.
   arXiv:2602.20154, 2026.

3. Thermal State Simulation with Pauli and Majorana Propagation
   Manuel S. Rudolph, Armando Angrisani, Andrew Wright, Iwo Sanderski, Ricard Puig, Zoë Holmes.
   arXiv:2602.04878, 2026.

4. When quantum resources backfire: Non-gaussianity and symplectic coherence in noisy bosonic circuits
   Varun Upreti, Ulysse Chabaud, Zoë Holmes, Armando Angrisani.
   arXiv:2510.07264, 2025.

5. Role of scrambling and noise in temporal information processing with quantum systems
   Weijie Xiong, Zoë Holmes, Armando Angrisani, Yudai Suzuki, Thiparat Chotibut, Supanut Thanasilp.
   arXiv:2505.10080, 2025.

6. A unifying framework for differentially private quantum algorithms
   Armando Angrisani, Mina Doosti, Elham Kashefi.
   arXiv:2307.04733, 2023.
   
   

PhD thesis

The disparate impact of noise on quantum learning algorithms
Armando Angrisani.
PhD thesis, Sorbonne Université, 2023.
Supervisor: Elham Kashefi. Defended on 11 December 2023.