2 citations · 3 across the 3 of their papers we have counts for
5 papers
Optimizing Tensor Network Partitioning using Simulated Annealing
Manuel Geiger, Qunsheng Huang, Christian B. Mendl
Tensor networks have proven to be a valuable tool, for instance, in the classical simulation of (strongly correlated) quantum systems. As the size of the systems increases, contrac…
High-Performance Contraction of Quantum Circuits for Riemannian Optimization
Fabian Putterer, Max M. Zumpe, Isabel Nha Minh Le +2
This work focuses on optimizing the gates of a quantum circuit with a given topology to approximate the unitary time evolution governed by a Hamiltonian. Recognizing that unitary m…
PyTreeNet: A Python Library for easy Utilisation of Tree Tensor Networks
Richard M. Milbradt, Qunsheng Huang, Christian B. Mendl
In recent years, tree tensor network methods have proven capable of simulating quantum many-body and other high-dimensional systems. This work is a user guide to our Python library…
State Diagrams to determine Tree Tensor Network Operators
Richard M. Milbradt, Qunsheng Huang, Christian B. Mendl
This work is concerned with tree tensor network operators (TTNOs) for representing quantum Hamiltonians. We first establish a mathematical framework connecting tree topologies with…
Integration of Quantum Accelerators with High Performance Computing -- A Review of Quantum Programming Tools
Amr Elsharkawy, Xiao-Ting Michelle To, Philipp Seitz +9
Quantum computing (QC) introduces a novel mode of computation with the possibility of greater computational power that remains to be exploited - presenting exciting opportunities f…