US 12,346,407 B1
System and method for data block analysis prioritization and routing via quantum machine learning
Shailendra Singh, Maharashtra (IN); and Suresh Loganathan, Tamil Nadu (IN)
Assigned to BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed by BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed on Apr. 3, 2024, as Appl. No. 18/625,526.
Int. Cl. G06F 18/2321 (2023.01); G06N 10/60 (2022.01)
CPC G06F 18/2321 (2023.01) [G06N 10/60 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system for data block analysis prioritization and routing via quantum machine learning, the system comprising:
a processing device;
a non-transitory storage device containing instructions when executed by the processing device, causes the processing device to perform the steps of:
retrieving a plurality of distributed ledger transactions comprising transaction metadata;
retrieving, continuously, a stream of telemetry data of computer hardware in a network via an API call to a telemetry database, wherein the computer hardware comprises distributed mining pools;
clustering, based on the transaction metadata, the plurality of distributed ledger transactions into a plurality of transaction clusters using a clustering engine, wherein the clustering engine determines a priority score for at least one transaction cluster of the plurality of transaction clusters;
generating, using a machine learning model, a predetermined number of transaction placement schemas of the computer hardware;
determining, from a probability output by parallel simulation testing via a quantum computer, a prime schema comprising prime computer hardware and a configuration of the prime computer hardware; and
routing, based on the prime schema, the at least one transaction cluster of the plurality of transaction clusters to the prime computer hardware.