3 papers
quant-ph2025
Solving graph problems using permutation-invariant quantum machine learning
Maximilian Balthasar Mansky, Tobias Rohe, Gerhard Stenzel +7
Many computational problems are unchanged under some symmetry operation. In classical machine learning, this can be reflected with the layer structure of the neural network. In qua…
quant-ph2024
Scaling of symmetry-restricted quantum circuits
Maximilian Balthasar Mansky, Miguel Armayor Martinez, Alejandro Bravo de la Serna +6
The intrinsic symmetries of physical systems have been employed to reduce the number of degrees of freedom of systems, thereby simplifying computations. In this work, we investigat…
cond-mat.str-el2023
Frustration-Induced Superconductivity in the - Hubbard Model
Changkai Zhang, Jheng-Wei Li, Jan von Delft
The two-dimensional (2D) Hubbard model is widely believed to capture key ingredients of high- superconductivity in cuprate materials. However, compelling evidence remains elus…