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Phys. Rev. B (2)Phys. Rev. Lett. (2)Mach. Learn.: Sci. Technol. (1)Phys. Rev. A (1)Phys. Rev. Research (1)Phys. Rev. X (1)

Articles Citing

Nonstabilizerness of neural quantum states

Alessandro Sinibaldi ^1,2,*, Antonio Francesco Mello ^3,4,†, Mario Collura ^3,5, and Giuseppe Carleo ^1,2

¹Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
²Center for Quantum Science and Engineering, EPFL, Lausanne, Switzerland
³International School for Advanced Studies (SISSA), Via Bonomea 265, I-34136 Trieste, Italy
⁴Center for Computational Quantum Physics, Flatiron Institute, 162 5th Avenue, New York, New York 10010, USA
⁵INFN, Sezione di Trieste, Via Valerio 2, 34127 Trieste, Italy

^*Contact author: alessandro.sinibaldi@epfl.ch
^†Contact author: amello@sissa.it

Stabilizer Rényi Entropy and Conformal Field Theory

Masahiro Hoshino, Masaki Oshikawa, and Yuto Ashida

Phys. Rev. X 16 011037 (2026)

Fast and exact approach for stabilizer Rényi entropy via the XOR-FWHT algorithm

Xuyang Huang, Han-Ze Li, Ching Hua Lee, and Jian-Xin Zhong

Phys. Rev. Research 8 L042005 (2026)

Stabilizer Rényi Entropy Encodes Fusion Rules of Topological Defects and Boundaries

Masahiro Hoshino and Yuto Ashida

Phys. Rev. Lett. 136 080402 (2026)

Nonstabilizerness and Error Resilience in Noisy Quantum Circuits

Fabian Ballar Trigueros and José Antonio Marín Guzmán

Phys. Rev. Lett. 136 240602 (2026)

Grassmann variational Monte Carlo with neural wave functions

Douglas Hendry, Alessandro Sinibaldi, and Giuseppe Carleo

Phys. Rev. B 114 134404 (2026)

Nonstabilizerness as a diagnostic of criticality and exceptional points in non-Hermitian spin chains

Cătălin Paşcu Moca, Doru Sticlet, and Balázs Dóra

Phys. Rev. B 114 225136 (2026)

Nonstabilizerness in quantum-enhanced metrological protocols

Tanausú Hernández-Yanes, Piotr Sierant, Jakub Zakrzewski, and Marcin Płodzień

Phys. Rev. A 113 012416 (2026)

Nonstabilizerness estimation using graph neural networks

Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis, Evert van Nieuwenburg, and Mark H M Winands

Mach. Learn.: Sci. Technol. 7 025027 (2026)

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