	US 12,229,636 B1
	Systems and methods for quantum based optimization of a personalized portfolio
Ramanathan Ramanathan, San Francisco, CA (US); Andrew J. Garner, IV, State Road, NC (US); Abhijit Rao, Irvine, CA (US); Pierre Arbajian, Matthews, NC (US); Michael Erik Meinholz, Charlotte, NC (US); Ramesh Yarlagadda, Charlotte, NC (US); Bradford A. Shea, Mint Hill, NC (US); and Adam Sanders, Huntersville, NC (US)
Assigned to Wells Fargo Bank, N.A., San Francisco, CA (US)
Filed by Wells Fargo Bank, N.A., San Francisco, CA (US)
Filed on Dec. 8, 2022, as Appl. No. 18/063,449.
Application 18/063,449 is a continuation of application No. 16/886,327, filed on May 28, 2020, granted, now 11,551,132.
Int. Cl. G06N 10/00 (2022.01); G06N 5/02 (2023.01)

CPC G06N 10/00 (2019.01) [G06N 5/02 (2013.01)]

20 Claims

1. A system for quantum computing (QC) based optimization of stress testing, the system comprising:

QC optimization factor filtering circuitry configured to:

receive stress testing scenario data, and

identify a plurality of filtered stress testing factor data from a set of stress testing factor data, the stress testing scenario data, a set of QC algorithms, and algorithm performance information;

algorithm selection circuitry configured to select, automatically, one QC algorithm from the set of QC algorithms for each filtered stress testing factor data of the plurality of filtered stress testing factor data; and

QC optimization circuitry configured to utilize the selected QC algorithm for each filtered stress testing factor data of the plurality of filtered stress testing factor data to optimize a stress testing determination for each identified filtered stress test factor data.