11 citations · 29 across the 5 of their papers we have counts for
5 papers
Positive bias makes tensor-network contraction tractable
Jiaqing Jiang, Jielun Chen, Norbert Schuch +1
Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network…
Fractional domain wall statistics in spin chains with anomalous symmetries
Jose Garre Rubio, Norbert Schuch
We study the statistics of domain wall excitations in quantum spin chains. We focus on systems with finite symmetry groups represented by matrix product unitaries (MPUs), i.e. fini…
Sign problem in tensor network contraction
Jielun Chen, Jiaqing Jiang, Dominik Hangleiter +1
We investigate how the computational difficulty of contracting tensor networks depends on the sign structure of the tensor entries. Using results from computational complexity, we…
Tangent space generators of matrix product states and exact Floquet quantum scars
Marko Ljubotina, Elena Petrova, Norbert Schuch +1
The advancement of quantum simulators motivates the development of a theoretical framework to assist with efficient state preparation in quantum many-body systems. Generally, prepa…
Stable and efficient differentiation of tensor network algorithms
Anna Francuz, Norbert Schuch, Bram Vanhecke
Gradient based optimization methods are the established state-of-the-art paradigm to study strongly entangled quantum systems in two dimensions with Projected Entangled Pair States…