公开(公告)号：US20240169129A1

公开(公告)日：2024-05-23

申请号：US18512812

申请日：2023-11-17

Applicant: SRI International

Inventor： Adam Derek Cobb ,  Daniel Elenius ,  Anirban Roy ,  Patrick Denis Lincoln ,  Susmit Jha

IPC: G06F30/27

CPC classification number: G06F30/27 ,  G06F2119/02

Abstract: In an example, an iterative method for generating designs includes receiving, by a computing system, a plurality of symbolic rules and a plurality of design objectives for a design of a system; generating, by the computing system, a first plurality of designs for the system based on the plurality of the symbolic rules; evaluating performance of the first plurality of designs; training a machine learning model using the first plurality of designs and performance metrics; generating a second plurality of designs; evaluating, by the computing system, using a machine learning model, performance of the second plurality of designs to filter one or more designs that meet one or more of the plurality of the design objectives; evaluating performance of the filtered designs; and updating, by the computing system, the plurality of the design objectives and/or the plurality of the symbolic rules based on the evaluated performance of the filtered designs.

公开(公告)号：US20250036993A1

公开(公告)日：2025-01-30

申请号：US18673709

申请日：2024-05-24

Applicant: SRI International

Inventor： Adam Derek Cobb ,  Susmit Kumar Jha

IPC: G06N10/20 ,  G06N10/40

Abstract: In an example, a method for training a machine learning model to transpile quantum circuits includes generating, by a quantum circuit generator, a first plurality of quantum circuits according to a general quantum circuit design language, wherein each of the first plurality of quantum circuits comprises a sequence of instructions comprising one or more gates and one or more gate operations; obtaining a second plurality of quantum circuits, wherein each of the second plurality of quantum circuits is transpiled for a target quantum device from a corresponding one of the first plurality of quantum circuits; and training, using the first plurality of quantum circuits and the second plurality of quantum circuits, a machine learning model to transpile a quantum circuit according to the general quantum circuit design language to a quantum circuit for the target quantum device.

公开(公告)号：US20240312129A1

公开(公告)日：2024-09-19

申请号：US18509024

申请日：2023-11-14

Applicant: SRI International

Inventor： Anirban Roy ,  Adam Derek Cobb ,  Daniel Elenius ,  Patrick Denis Lincoln ,  Susmit Jha

IPC: G06T17/00 ,  G06V10/426

CPC classification number: G06T17/00 ,  G06V10/426

Abstract: In an example, a method for adapting a machine learning model includes receiving a digital representation of a three-dimensional (3D) object; learning, using a surrogate model, relationships between a plurality of points on a surface of the 3D object; and generating, using the surrogate model, one or more predictions about fluid properties along the surface of the 3D object.

公开(公告)号：US20240143689A1

公开(公告)日：2024-05-02

申请号：US18489777

申请日：2023-10-18

Applicant: SRI International

Inventor： Susmit Jha ,  Adam Derek Cobb ,  Anirban Roy ,  Daniel Elenius ,  Patrick Denis Lincoln

IPC: G06F17/11

CPC classification number: G06F17/11

Abstract: In an example, a method of designing a system or architecture includes, receiving a plurality of parameter values and a set of requirements for a plurality of objective functions related to a design problem; compressing the plurality of parameters to generate a latent representation; forward processing, with one or more Invertible Neural Networks (INNs), the latent representation to generate a plurality of objective values corresponding to the plurality of the objective functions; inverse processing the plurality of objective values; and generating, based on the latent representation, a plurality of solutions to the design problem that satisfy the set of requirements for the plurality of objective functions.