Abstract: The paper studies the cheap spectral factorization problem in the state space from a strictly geometric viewpoint. A new solution based on the geometric properties of the related Hamiltonian ...

Abstract: Matrix factorization finds applications in a variety of problems arising in signal processing and machine learning including (but not limited to) pattern recognition, recommender systems, ...

It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm performed best for quick, ...

Namespace and Dependencies: The code is organized into namespaces, Shor_algo and Shor_test, with imports from the Q# standard libraries. These libraries provide basic quantum operations, such as ...

I am trying to run cell2cell tensor using GPU on my single cell data from mouse (Iigand-receptor pairs were downloaded from https://raw.githubusercontent.com ...