Diagonalization of complex symmetric matrices: Generalized Householder reflections, iterative deflation and implicit shifts. - Jack H. Noble; Michael Lubasch; J. Stevens; Ulrich David Jentschura (Comput. Phys. Commun., 2017)

Multigrid renormalization. - Michael Lubasch; Pierre Moinier; Dieter Jaksch (J. Comput. Phys., 2018)

Variational inference with a quantum computer. - Marcello Benedetti; Brian Coyle; Mattia Fiorentini; Michael Lubasch; Matthias Rosenkranz (CoRR, 2021)

Solving Partial Differential Equations using a Quantum Computer. - Albert J. Pool; Alejandro D. Somoza; Michael Lubasch; Birger Horstmann (QCE, 2022)

A quantum-inspired approach to exploit turbulence structures. - Nikita Gourianov; Michael Lubasch; Sergey Dolgov; Quincy Y. van den Berg; Hessam Babaee; Peyman Givi; Martin Kiffner; Dieter Jaksch (Nat. Comput. Sci., 2022)

Variational quantum amplitude estimation. - Kirill Plekhanov; Matthias Rosenkranz; Mattia Fiorentini; Michael Lubasch (Quantum, 2022)

Barren plateaus in quantum tensor network optimization. - Enrique Cervero Martín; Kirill Plekhanov; Michael Lubasch (Quantum, 2023)