3 papers
quant-ph2025
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…
cond-mat.str-el2024
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…
quant-ph2024
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…