Deep Learning by a Tensor Network Algorithm Provides Hyperfast Training of Business Finance

Posted: 6 Feb 2020 Last revised: 25 Mar 2020

See all articles by Alfredo Lacayo Evertsz

Alfredo Lacayo Evertsz

Florida International University - College of Business

Lizelia Bravo Boza

Qbit Solutions Research Team

Date Written: January 12, 2020

Abstract

We show how tensor network theory and deep learning theory can be combined to provide a ground-state network (Orús, 2014) of financial information for hyperfast training of business finance. The resulting minimal-complexity structure encodes an infinite number of probable outcomes into a finite graphical alphabet of 12 potential dynamic relations, called double-entries; the pixels of financial information. Using the proposed many-layered (Serb & Prodromakis, 2019), financial wave function (Schrödinger, 1935), as a computational resource (Biamonte, 2016), allows hyperfast processing of financial information, one pixel at a time; see fig. 1. This reveals a highly entangled architecture (Levine, et al., 2019), where complexity scales linearly, not exponentially (Huggins, et al., 2018). The new algorithm trains people on the fundamentals of business finance in about 10 hours; a process that would take at least one year with the conventional scheme. Results are based on solid empirical evidence.

Keywords: Financial Literacy, Tensor Networks, Deep Learning, Complexity, Emergence, Information Reuse, Accounting

Suggested Citation

Lacayo Evertsz, Alfredo and Bravo Boza, Lizelia, Deep Learning by a Tensor Network Algorithm Provides Hyperfast Training of Business Finance (January 12, 2020). Available at SSRN: https://ssrn.com/abstract=3518838 or http://dx.doi.org/10.2139/ssrn.3518838

Alfredo Lacayo Evertsz (Contact Author)

Florida International University - College of Business ( email )

University Park
11200 SW 8th Street
Miami, FL 33199
United States

HOME PAGE: http://business.fiu.edu/centers/sbdc/consultants.cfm

Lizelia Bravo Boza

Qbit Solutions Research Team ( email )

1951 NW 7th Avenue
Cambridge Innovation Center (CIC)
Miami, FL 33136
United States

HOME PAGE: http://www.qbitsolutions.org

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