公开(公告)号：US12061952B2

公开(公告)日：2024-08-13

申请号：US17410553

申请日：2021-08-24

Applicant: International Business Machines Corporation

Inventor： Aaron K. Baughman ,  Gururaja Hebbar ,  Micah Forster ,  Kavitha Hassan Yogaraj ,  Yoshika Chhabra

IPC: G06F40/20 ,  G06F15/16 ,  G06N10/00

CPC classification number: G06N10/00 ,  G06F15/16 ,  G06F40/20

Abstract: Using a model executing on a classical processor, a set of classical features is scored. The scored set of classical features is divided into a set of feature groups, a number of classical features in a group determined according to a qubit capability of a quantum processor. Using a model executing on the quantum processor and a group of the scored set of classical features, a set of quantum features is scored. The score of a quantum feature is adjusted according to an accuracy of the quantum data model. The scored set of classical features and the scored set of quantum features are combined according to a measure of differences between the scored set of classical features and the scored set of quantum features. Using the combined set of scored features and a first set of input data of a resource, a valuation of a resource is calculated.

公开(公告)号：US20240303518A1

公开(公告)日：2024-09-12

申请号：US18668666

申请日：2024-05-20

Applicant: International Business Machines Corporation

Inventor： Aaron K. Baughman ,  GURURAJA HEBBAR ,  Micah Forster ,  Kavitha Hassan Yogaraj ,  Yoshika Chhabra

IPC: G06N10/00 ,  G06F15/16 ,  G06F40/20

CPC classification number: G06N10/00 ,  G06F15/16 ,  G06F40/20

Abstract: Using a model executing on a classical processor, a set of classical features is scored. The scored set of classical features is divided into a set of feature groups, a number of classical features in a group determined according to a qubit capability of a quantum processor. Using a model executing on the quantum processor and a group of the scored set of classical features, a set of quantum features is scored. The score of a quantum feature is adjusted according to an accuracy of the quantum data model. The scored set of classical features and the scored set of quantum features are combined according to a measure of differences between the scored set of classical features and the scored set of quantum features. Using the combined set of scored features and a first set of input data of a resource, a valuation of a resource is calculated.

公开(公告)号：US20230065684A1

公开(公告)日：2023-03-02

申请号：US17410553

申请日：2021-08-24

Applicant: International Business Machines Corporation

Inventor： Aaron K. Baughman ,  Gururaja Hebbar ,  Micah Forster ,  Kavitha Hassan Yogaraj ,  Yoshika Chhabra

IPC: G06N10/00 ,  G06F40/20 ,  G06F15/16

Abstract: Using a model executing on a classical processor, a set of classical features is scored. The scored set of classical features is divided into a set of feature groups, a number of classical features in a group determined according to a qubit capability of a quantum processor. Using a model executing on the quantum processor and a group of the scored set of classical features, a set of quantum features is scored. The score of a quantum feature is adjusted according to an accuracy of the quantum data model. The scored set of classical features and the scored set of quantum features are combined according to a measure of differences between the scored set of classical features and the scored set of quantum features. Using the combined set of scored features and a first set of input data of a resource, a valuation of a resource is calculated.