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Solving the Gross-Pitaevskii equation on multiple different scales using the quantics tensor train representation

Marcel Niedermeier1,2, Adrien Moulinas2, Thibaud Louvet2, Jose L. Lado1, and Xavier Waintal2,*

  • *Contact author: xavier.waintal@cea.fr

Who can compete with quantum computers? Lecture notes on quantum inspired tensor networks computational techniques

Xavier Waintal, Chen-How Huang, and Christoph W. Groth

SciPost Phys. Lect. Notes 133 (2026)

Solving the Gross-Pitaevskii equation with quantic tensor trains: Ground states and nonlinear dynamics

Qian-Can Chen, I-Kang Liu, Jheng-Wei Li, and Chia-Min Chung

SciPost Phys. 21 035 (2026)

Tensor-network methodology for real-space super-moiré excitons

Anouar Moustaj, Yitao Sun, Tiago Antão, Lumen Eek, and Jose L. Lado

SciPost Phys. 21 108 (2026)

Tensor network approach to momentum-resolved spectroscopy in nonperiodic super-moiré systems

Anouar Moustaj, Yitao Sun, Tiago V. C. Antão, and Jose L. Lado

Phys. Rev. Research 8 023282 (2026)

Simulating quantum turbulence with matrix-product states

Felipe Gómez-Lozada, Nicolas Perico-García, Nikita Gourianov, Hayder Salman, and Juan José Mendoza-Arenas

Phys. Rev. Applied 25 064069 (2026)

Tensor network compression for fully spectral Vlasov–Poisson simulation

Erik M. Åsgrim, Luca Pennati, Marco Pasquale, and Stefano Markidis

Journal of Computational Physics 567 115330 (2026)

A Quantum-Inspired Algorithm for Solving Sudoku Puzzles and the MaxCut Problem †

Max B. Zhao and Fei Li

Quantum Information & Computation 25 397 (2025)

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