4 papers · 1 filter
Matrix Product Belief Propagation
Gabriel Woolls, Shahin Jahanbani, Adarsh Pashikanti +3
We introduce "matrix product belief propagation" (MP-BP) as a controlled method for the approximate contraction of two-dimensional tensor networks and graphical models, which gener…
Dynamics of disordered quantum systems with two- and three-dimensional tensor networks
Joseph Tindall, Antonio Mello, Matt Fishman +2
Large scale quantum annealing dynamics of Ising spin glasses were recently implemented on D-Wave's Advantage system on a range of lattices. Following extensive comparison to exi…
Approximate Contraction of Arbitrary Tensor Networks with a Flexible and Efficient Density Matrix Algorithm
Linjian Ma, Matthew Fishman, Miles Stoudenmire +1
Tensor network contractions are widely used in statistical physics, quantum computing, and computer science. We introduce a method to efficiently approximate tensor network contrac…
Variational adiabatic transport of tensor networks
Hyeongjin Kim, Matthew T. Fishman, Dries Sels
We discuss a tensor network method for constructing the adiabatic gauge potential -- the generator of adiabatic transformations -- as a matrix product operator, which allows us to…