The Graphical Language of a 12-State Tensor Network Provides Hyperfast Processing of Financial Information

Posted: 29 Jul 2017 Last revised: 14 Jun 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: July 23, 2017

Abstract

Double-entries are the LEGO® bricks of financial information as the financial history of any business can be reconstructed from this inflow/outflow base-pair unit or bit (Orús, 2014). We show how a finite double-entry alphabet or financial wave-function (Schrödinger, 1935) encodes the superpositioned and time-reversible set of financial events capable of describing all basic forms of financial information in a purely graphical language. The topology of this ground-state network can be used as a minimal-complexity computational resource to process financial information in a hyperfast way (Biamonte, 2016). From the collective double-entry interactions, an emergent macroscopic structure heralds the financial condition of a business for a given period of time. The new map condenses thousands of pages of financial information into a single diagram; allowing people to learn in less than 24 hours what would normally take at least 1 year (see Fig. 1). This may help alleviate the problem of financial literacy (GFLEC, 2014). Results are based on solid empirical evidence.

Keywords: tensor network algorithm, quantum information, double-entry information, isomorphism, financial education

JEL Classification: M41

Suggested Citation

Lacayo Evertsz, Alfredo and Bravo Boza, Lizelia, The Graphical Language of a 12-State Tensor Network Provides Hyperfast Processing of Financial Information (July 23, 2017). Available at SSRN: https://ssrn.com/abstract=3007349 or http://dx.doi.org/10.2139/ssrn.3007349

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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