Development of research network on Quantum Annealing Computation and Information using Google Scholar data

Antika Sinha

doi:10.1098/rsta.2021.0413

paper

Development of research network on Quantum Annealing Computation and Information using Google Scholar data

arXiv:2206.02176 · doi:10.1098/rsta.2021.0413

Abstract

We build and analyze the network of hundred top cited nodes (research papers and books from Google Scholar; strength or citation of the nodes range from about 44000 up to 100) starting early 1980 to till last year. These searched publications (papers, books) are based on Quantum Annealing Computation and Information categorized in four different sets: A) Quantum/Transverse Field Spin Glass Model, B) Quantum Annealing, C) Quantum Adiabatic Computation and D) Quantum Computation Information in the title or abstract of the searched publications. We fitted the growth in the annual number of publication ( $n_{p}$ ) in each of these four categories A to D to the form $n_{p} \sim exp (t / τ)$ where $t$ denotes the time in year. We found the scaling time $τ$ to be of order about 10 years for category A and C whereas $τ$ is order of about 5 years for category B and D.

arXiv commentIn press, Phil. Tran. A

Development of research network on Quantum Annealing Computation and Information using Google Scholar data

Abstract

References in corpus (63)