# US 12,223,391 B1 · Systems and methods for quantum based optimization of a personalized portfolio > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,223,391 B1 - Document ID: US12223391B1 - Status: Granted - Kind: B1 - Application number: 18/063,466 - Filed: 2022-12-08 - Granted: 2025-02-11 - Earliest claimed: 2020-05-28 - Assignees: Wells Fargo Bank, N.A. - Applicants: Wells Fargo Bank, N.A. - Inventors: Ramanathan Ramanathan; Andrew J. Garner, IV; Abhijit Rao; Pierre Arbajian; Michael Erik Meinholz; Ramesh Yarlagadda; Bradford A. Shea; Adam Sanders - Web page: https://patentgrep.com/patent/US12223391B1 ## CPC - G06N 10/60: Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms - G06N 5/02: Knowledge representation; Symbolic representation - G06N 10/00: Quantum computing, i.e. information processing based on quantum-mechanical phenomena - G06Q 40/06: Asset management; Financial planning or analysis - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR ## Abstract Various systems and methods are provided for quantum computing based optimization of a personalized portfolio. One exemplary method may comprise identifying one or more filtered personalized portfolio optimization factor data based on one or more optimization factor data for the personalized portfolio, personalized portfolio owner feedback, QC algorithms, and algorithm performance information, selecting one QC algorithm for each filtered portfolio optimization factor data of the one or more filtered portfolio optimization factor data, utilizing the selected QC algorithm to optimize a personalized portfolio determination for each identified filtered personalized portfolio optimization factor data, and rebalancing the personalized portfolio based on the personalized portfolio determination. ## Claims ### Claim 1 A system for quantum computing (QC) based optimization of an efficient frontier determination, the system comprising: QC optimization factor filtering circuitry configured to identify a plurality of filtered portfolio optimization factor data based on a risk level and one or more of a set of portfolio optimization factor data related to a portfolio, 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 portfolio optimization factor data of the plurality of filtered portfolio optimization factor data; QC optimization circuitry configured to utilize the selected QC algorithm to optimize the efficient frontier determination for each identified filtered portfolio optimization factor data; and processing circuitry configured to rebalance the portfolio based on the efficient frontier determination. ### Claim 2 (depends on 1) The system of claim 1, further comprising input-output circuitry configured to provide a portfolio owner with a rebalancing alert based on the efficient frontier determination. ### Claim 3 (depends on 2) The system of claim 2, wherein the processing circuitry is further configured to, after receiving input from the portfolio owner, rebalance the portfolio associated with the portfolio owner based on the efficient frontier determination. ### Claim 4 (depends on 1) The system of claim 1, wherein the algorithm selection circuitry is further configured to receive a catalog of QC algorithms and associated algorithm performance information. ### Claim 5 (depends on 1) The system of claim 1, wherein the portfolio optimization factor data comprises at least one of (i) one or more of personal portfolio constraints data representing customer-defined constraints or (ii) one or more of personal portfolio factor data representing a customer-defined personal preference. ### Claim 6 (depends on 1) The system of claim 1, wherein the algorithm selection circuitry is further configured to receive an identification of quantum computing hardware from the QC optimization circuitry, wherein the selection of the one QC algorithm for each filtered portfolio optimization factor data is based at least on the identification of the quantum computing hardware. ### Claim 7 (depends on 1) The system of claim 1, further comprising input-output circuitry configured to receive, over a network, an indication from a client device of a portfolio owner identifying the portfolio and the risk level associated with the portfolio. ### Claim 8 A method for quantum computing (QC) based optimization of an efficient frontier determination, the method comprising: identifying, by QC optimization factor filtering circuitry, a plurality of filtered portfolio optimization factor data based on a risk level and one or more of a set of portfolio optimization factor data related to a portfolio, a set of QC algorithms, and algorithm performance information; selecting, by algorithm selection circuitry, automatically, one QC algorithm from the set of QC algorithms for each filtered portfolio optimization factor data of the plurality of filtered portfolio optimization factor data; utilizing, by QC optimization circuitry, the selected QC algorithm to optimize the efficient frontier determination for each identified filtered portfolio optimization factor data; and rebalancing, by processing circuitry, the portfolio based on the efficient frontier determination. ### Claim 9 (depends on 8) The method of claim 8, further comprising providing a portfolio owner with a rebalancing alert based on the efficient frontier determination. ### Claim 10 (depends on 9) The method of claim 9, further comprising, after receiving input from the portfolio owner, rebalancing the portfolio associated with the portfolio owner based on the efficient frontier determination. ### Claim 11 (depends on 8) The method of claim 8, further comprising receiving a catalog of QC algorithms and associated algorithm performance information. ### Claim 12 (depends on 8) The method of claim 8, wherein the portfolio optimization factor data comprises at least one of (i) one or more of personal portfolio constraints data representing customer-defined constraints or (ii) one or more of personal portfolio factor data representing a customer-defined personal preference. ### Claim 13 (depends on 8) The method of claim 8, further comprising receiving an identification of quantum computing hardware, wherein the selection of the one QC algorithm for each filtered portfolio optimization factor data is based at least on the identification of the quantum computing hardware. ### Claim 14 (depends on 8) The method of claim 8, further comprising receiving, over a network, an indication from a client device of a portfolio owner identifying the portfolio and the risk level associated with the portfolio. ### Claim 15 A computer program product for quantum computing (QC) based optimization of an efficient frontier determination, the computer program product comprising at least one non-transitory computer-readable storage medium storing program instructions that, when executed, cause a system to: identify, by QC optimization factor filtering circuitry, a plurality of filtered portfolio optimization factor data based on a risk level and one or more of a set of portfolio optimization factor data related to a portfolio, a set of QC algorithms, and algorithm performance information; select, by algorithm selection circuitry, automatically, one QC algorithm from the set of QC algorithms for each filtered portfolio optimization factor data of the plurality of filtered portfolio optimization factor data; utilize, by QC optimization circuitry, the selected QC algorithm to optimize the efficient frontier determination for each identified filtered portfolio optimization factor data; and rebalance, by processing circuitry, the portfolio based on the efficient frontier determination. ### Claim 16 (depends on 15) The computer program product of claim 15, wherein the program instructions, when executed, further cause the system to provide a portfolio owner with a rebalancing alert based on the efficient frontier determination. ### Claim 17 (depends on 16) The computer program product of claim 16, wherein the program instructions, when executed, further cause the system to, after receiving input from the portfolio owner, rebalance the portfolio associated with the portfolio owner based on the efficient frontier determination. ### Claim 18 (depends on 15) The computer program product of claim 15, wherein the program instructions, when executed, further cause the system to receive a catalog of QC algorithms and associated algorithm performance information. ### Claim 19 (depends on 15) The computer program product of claim 15, wherein the portfolio optimization factor data comprises at least one of (i) one or more of personal portfolio constraints data representing customer-defined constraints or (ii) one or more of personal portfolio factor data representing a customer-defined personal preference. ### Claim 20 (depends on 15) The computer program product of claim 15, wherein the program instructions, when executed, further cause the system to receive an identification of quantum computing hardware, wherein the selection of the one QC algorithm for each filtered portfolio optimization factor data is based at least on the identification of the quantum computing hardware.