Pretty Good Measures in Quantum Information Theory. - Raban Iten; Joseph M. Renes; David Sutter (IEEE Trans. Inf. Theory, 2017)

Discovering physical concepts with neural networks. - Raban Iten; Tony Metger; Henrik Wilming; Lídia del Rio; Renato Renner (CoRR, 2018)

Introduction to UniversalQCompiler. - Raban Iten; Oliver Reardon-Smith; Luca Mondada; Ethan Redmond; Ravjot Singh Kohli; Roger Colbeck (CoRR, 2019)

Efficient template matching in quantum circuits. - Raban Iten; David Sutter; Stefan Woerner (CoRR, 2019)

Quantum Blahut-Arimoto Algorithms. - Navneeth Ramakrishnan; Raban Iten; Volkher B. Scholz; Mario Berta (ISIT, 2020)

Option Pricing using Quantum Computers. - Nikitas Stamatopoulos; Daniel J. Egger; Yue Sun; Christa Zoufal; Raban Iten; Ning Shen; Stefan Woerner (Quantum, 2020)

Quantum Circuits for Sparse Isometries. - Emanuel Malvetti; Raban Iten; Roger Colbeck (Quantum, 2021)

Computing Quantum Channel Capacities. - Navneeth Ramakrishnan; Raban Iten; Volkher B. Scholz; Mario Berta (IEEE Trans. Inf. Theory, 2021)

Operationally meaningful representations of physical systems in neural networks. - Hendrik Poulsen Nautrup; Tony Metger; Raban Iten; Sofiène Jerbi; Lea M. Trenkwalder; Henrik Wilming; Hans J. Briegel; Renato Renner (Mach. Learn. Sci. Technol., 2022)

Interpretable Machine Learning in Physics: A Review. - Sebastian Johann Wetzel; Seungwoong Ha; Raban Iten; Miriam Klopotek; Ziming Liu (CoRR, 2025)