Granted Patent B2

US 12,572,836 · App. 18/111,649 · Granted Mar 10, 2026

Inventor: Shailendra Singh (Maharashtra, IN)

Assignee: Bank of America Corporation

G06N10/40G06N10/80

Abstract

Claims (57)

1 . A computing platform comprising:

at least one processor;

a communication interface communicatively coupled to the at least one processor; and

memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:

receive, from a digital computing device, a quantum program of a plurality of quantum programs to be executed on target quantum hardware;

scan and optimize the quantum program for minimum quantum bit (qubit) consumption using one or more machine learning models;

identify a criticality level of the quantum program, wherein the criticality level is based on an accuracy requirement of a quantum program output;

identify a qubit count associated with the quantum program, wherein the qubit count indicates a number of qubits used to perform quantum processing of the quantum program;

based on the identified criticality level and the identified qubit count associated with the quantum program, assign an allocation of qubits together with specific target quantum hardware, from among a plurality of quantum hardware, for deploying the quantum program; and

cause the specific target quantum hardware to ingest the quantum program and perform quantum processing of the quantum program.

2 . The computing platform of claim 1 , wherein optimizing the quantum program includes:

generating and sending, to the digital computing device, one or more code change recommendations for minimizing qubit consumption; and

wherein the computing platform further includes instructions that, when executed, cause the computing platform to cause the digital computing device to prompt a user of the digital computing device to update the quantum program based on the one or more code change recommendations.

3 . The computing platform of claim 1 , wherein optimizing the quantum program includes dividing the quantum program into two or more logical portions, including a first logical portion and a second logical portion.

4 . The computing platform of claim 3 , wherein quantum processing of the first logical portion is allocated to first target quantum hardware, and

wherein quantum processing of the second logical portion is allocated to second target quantum hardware.

5 . The computing platform of claim 1 , wherein the digital computing device is a computer of a developer writing one or more quantum programs.

6 . The computing platform of claim 1 , wherein the one or more machine learning models includes one or more of: abstract syntax trees, natural language processing, and clustering.

7 . The computing platform of claim 1 , further including instructions that, when executed, cause the computing platform to:

create a non-fungible token (NFT) representing the quantum program; and

associate the NFT with the quantum program, wherein the NFT is controlled by smart contract logic associated with a smart contract, and wherein the smart contract logic includes a predefined acceptance criterion based on which the quantum program output is deployed to the digital computing device.

8 . The computing platform of claim 7 , further including instructions that, when executed, cause the computing platform to:

validate a quantum program for the specific target quantum hardware by validating the NFT associated with the quantum program.

9 . A method, comprising:

at a computing platform comprising at least one processor, a communication interface, and memory:

receiving, by the at least one processor, from a digital computing device, a quantum program of a plurality of quantum programs to be executed on target quantum hardware;

scanning and optimizing, by the at least one processor, the quantum program for minimum quantum bit (qubit) consumption using one or more machine learning models;

identifying, by the at least one processor, a criticality level of the quantum program, wherein the criticality level is based on an accuracy requirement of a quantum program output;

identifying, by the at least one processor, a qubit count associated with the quantum program, wherein the qubit count indicates a number of qubits used to perform quantum processing of the quantum program;

based on the identified criticality level and the identified qubit count associated with the quantum program, assigning, by the at least one processor, an allocation of qubits together with specific target quantum hardware, from among a plurality of quantum hardware, for deploying the quantum program; and

causing, by the at least one processor, the specific target quantum hardware to ingest the quantum program and perform quantum processing of the quantum program.

10 . The method of claim 9 , wherein optimizing the quantum program includes:

generating and sending, by the at least one processor, to the digital computing device, one or more code change recommendations for minimizing qubit consumption; and

causing, by the at least one processor, the digital computing device to prompt a user of the digital computing device to update the quantum program based on the one or more code change recommendations.

11 . The method of claim 9 , wherein optimizing the quantum program includes dividing the quantum program into two or more logical portions, including a first logical portion and a second logical portion.

12 . The method of claim 11 , wherein quantum processing of the first logical portion is allocated to first target quantum hardware, and

wherein quantum processing of the second logical portion is allocated to second target quantum hardware.

13 . The method of claim 9 , wherein the digital computing device is a computer of a developer writing one or more quantum programs.

14 . The method of claim 9 , wherein the one or more machine learning models includes one or more of: abstract syntax trees, natural language processing, and clustering.

15 . The method of claim 9 , further comprising:

creating, by the at least one processor, a non-fungible token (NFT) representing the quantum program; and

associating, by the at least one processor, the NFT with the quantum program, wherein the NFT is controlled by smart contract logic associated with a smart contract, and wherein the smart contract logic includes a predefined acceptance criterion based on which the quantum program output is deployed to the digital computing device.

16 . The method of claim 15 , further comprising:

validating, by the at least one processor, a quantum program for the specific target quantum hardware by validating the NFT associated with the quantum program.

17 . One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

receive, from a digital computing device, a quantum program of a plurality of quantum programs to be executed on target quantum hardware;

scan and optimize the quantum program for minimum quantum bit (qubit) consumption using one or more machine learning models;

identify a criticality level of the quantum program, wherein the criticality level is based on an accuracy requirement of a quantum program output;

identify a qubit count associated with the quantum program, wherein the qubit count indicates a number of qubits used to perform quantum processing of the quantum program;

based on the identified criticality level and the identified qubit count associated with the quantum program, assign an allocation of qubits together with specific target quantum hardware, from among a plurality of quantum hardware, for deploying the quantum program; and

cause the specific target quantum hardware to ingest the quantum program and perform quantum processing of the quantum program.

18 . The one or more non-transitory computer-readable media of claim 17 , wherein optimizing the quantum program includes:

generating and sending, to the digital computing device, one or more code change recommendations for minimizing qubit consumption; and

causing the digital computing device to prompt a user of the digital computing device to update the quantum program based on the one or more code change recommendations.

19 . The one or more non-transitory computer-readable media of claim 17 , wherein optimizing the quantum program includes dividing the quantum program into two or more logical portions, including a first logical portion and a second logical portion.

20 . The one or more non-transitory computer-readable media of claim 19 , wherein quantum processing of the first logical portion is allocated to first target quantum hardware, and

wherein quantum processing of the second logical portion is allocated to second target quantum hardware.

Assignments (1)

Continuity (1)

References Cited (50)