Technology 03

Platform

in the Age of the Digital Twin

Technology 03 Platform in the Age of the Digital Twin

Platform that accelerates the resolution of the social optimization problems

To achieve accurate and fair optimization

Time to solve the optimization problems

Find the best solution from a massive

Real-time optimization

number of candidates within a realistic

timeframe

Concise description of conditions

Enable processing of composite real-world

Automatic integration of

problems by the optimal computing

the best methods

machine

Digital twin

Remote

Real-time

Optimization

Accurate and fair analysis

Modeling

Prescription

Wide-ranging,

with explainability and

sophisticated modeling

conviction

of the real world

Real world

Trust & Green

Technology 03 Platform in the Age of the Digital Twin

What optimization is needed to solve social problems?

Real-time

Acceleration of

Quantum-classical

Providing optimal solutions

optimization

business simulation

hybrid system

that suit the rapidly-changing

Quantum annealing

business environment and

many stakeholders involved

NEC Vector

development of

in city management

Acceleration of

Annealing service

skilled engineers

Automation of

math computation

Common platform for quantum

quantum-classic

and classical computing

Supercomputer for AI

collaboration

Automation of

research

Optimization support

optimization

High-performance

Automation of parallel

compiler

computing

Intention

processing

Automatic vectorizing

dotData

learning

Automation of

compiler

machine learning

Automatic integration of the best methods

Technology 03 Platform in the Age of the Digital Twin

NEC Vector Annealing service

Simulated quantum annealing that finds optimal solutions from

a massive number of combinations of options in a realistic timeframe

  • Case: NEC Fielding adopted the NEC Vector Annealing in October 2022, turning their two-hour task by experienced staff into a 12- minute automated operation.

Automation

Faster

Faster

optimization of

of

Planning

large-scale

planning

problems

Solution

Effects

Automatically formulate optimal delivery plans from vast combinations of delivery times, areas, and modes of transportation

Confirmed automatic generation of plans of the same standard as those created by experienced staff

Currently tuning to improve delivery efficiency by 30%, which is the upper estimated limit

Create optimal delivery plans from vast combinations

Delivery time

Delivery area

Part type

Transportati

on mode

Urgent response

Ward A

Regular

Ward B

maintenance

Ward C

Time

Ward D

specification

City E

...

...

...

...

Future

Utilize NEC Vector Annealing service combined with AI-driven future

prediction as a management support tool for making investment

prospect

decisions and formulating business strategies

Technology 03 Platform in the Age of the Digital Twin

Optimization support compiler

Software development environment with optimization assistance makes the whole problem-solving process much shorter

  • Automatically convert given problem-description into a set of precise formulas suitable for the selected optimization tool

Conventional

Several

Convert

months

formula for

each tool

max

subject to

Formula

Optimization support compiler

Several

General conditional expression

Delivery on 10:00 and 15:00,

days

that can concisely describe

using trucks with a maximum load

conditions and are close to

of 2t and driving a minimum

customer operations

distance

Automatic conversion

optimization

(Simulated)

Classic

quantum annealing

optimization tool

max

There are many

subject to

(Simulated)

Classic

tools to solve

optimization

quantum annealing

optimization tool

problems

Automatic conversion to conditional expressions that suit the individual tools

Future

Can be used as a common optimization-solver middleware for both of

prospect

classic optimization and (simulated) quantum annealer

This is an excerpt of the original content. To continue reading it, access the original document here.

Attachments

  • Original Link
  • Original Document
  • Permalink

Disclaimer

NEC Corporation published this content on 11 January 2023 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 11 January 2023 08:29:11 UTC.