JIJ / DECISION SYSTEMS

Use Cases

JIJ builds decision systems for problems that are too large, too constrained, or too fast-moving to plan with traditional tools. We combine mathematical optimization with quantum and quantum-inspired computing where decisions carry real operational weight.

60+

Optimization projects delivered on JijZept

10

Industries served across the value chain

4

Locations: 60 people across Tokyo, Hamburg, UK and US

3

National & multinational research programs

Where we work

Industries

Optimization problems can often translate across industry sectors. The same decomposition and solver strategy that schedules a power fleet can also schedules a production line. These are the verticals where we have already delivered work.

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Manufacturing

Turn production complexity into plans teams can execute.

Production planning · Scheduling · Material yield

JNC · planning time 6 hrs → 1 min

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Energy

Coordinate assets, markets, and uncertainty across operational horizons.

Unit commitment · Dispatch · Asset operation

ORCA · bp · NQCC · hybrid UCP workflow

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Telecommunications

Improve network decisions using the infrastructure already in place.

Radio configuration · Capacity planning

SoftBank · +10% average downlink speed

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Logistics & mobility

Plan routes, fleets, crews, and recovery as one connected system.

Routing · Fleet assignment · Recovery

Routing · dispatch · disruption recovery

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Materials & design

Search complex design spaces with fewer experiments and clearer trade-offs.

Formulation · Structure · Process design

Formulation · structure · yield

THE COMMON THREAD

Each solution enables a team to choose the best feasible action from many combinations under real capacity, timing, policy, and data constraints.

Evidence in practice

Selected work

A cross-section of delivered projects, from production systems running today to national research programs proving out quantum-classical hybrid workloads.

Manufacturing

Manufacturing · CUSTOMER DEPLOYMENT

Production planning that can be recalculated when conditions change.

JNC Corporation

Equipment capacity, setup, product mix, and due dates are represented in one computable planning model.

6 hrs → 1 min

Decision

What should be produced, on which equipment, and in what sequence?

Modeling

Demand and product mix · Equipment and process data · Due dates and setup rules

Operational outcome

Create feasible production schedules and accelerate comparison and rescheduling when conditions change.

Telecommunications

Telecommunications · CUSTOMER PROOF OF CONCEPT

Improving average downlink speed without additional hardware.

Organization: SoftBank

Radio configurations across multiple base stations were translated into an optimization model for carrier-aggregation.

+10%

Decision

How should radio-network relationships be configured?

What is modelled

Base-station topology · Radio measurements · Traffic and coverage data

Operational outcome

Improved configuration · Scenario comparison · No additional hardware

Energy

Energy · PUBLIC RESEARCH COLLABORATION

Evaluating a path toward commercially relevant quantum computing.

Organization: ORCA · bp · NQCC

An industrial-scale unit commitment problem is used to evaluate a quantum-classical hybrid workflow. This public page does not claim demonstrated quantum advantage.

Hybrid UCP

Decision

Which generation assets should run, and at what output?

What is modelled

Demand forecast · Generation fleet · Cost and market data

Operational outcome

A feasible dispatch plan · Comparable classical and hybrid runs · A testable path to future compute

Rail & mobility

Rail & mobility · CUSTOMER STORY

Expressing experienced railway operators' judgement as a computable model.

Organization: JR Central

The public story shows how domain knowledge and operational judgement can be translated into a mathematical representation that teams can inspect and improve.

Expert → model

Decision

How should services and duties be rebuilt after disruption?

What is modelled

Timetable and live operations · Rolling stock and crew · Incident and passenger impact

Operational outcome

A recoverable timetable · Reduced disruption · Faster operator response

Manufacturing & materials

Manufacturing & materials · ENTERPRISE COLLABORATION

Building an organization capability for practical quantum computing adoption.

Organization: Kobe Steel

JIJ and Kobe Steel announced a multi-year framework to form a Quantum Center of Excellence and pursue implementation across complex business domains.

Quantum CoE

Decision

Which formulation and process conditions should be explored next?

What is modelled

Experimental data · Candidate ingredients · Target properties

Operational outcome

Ranked candidate formulations · Fewer experiments · Transparent trade-offs

Mobility

Mobility · CUSTOMER PROOF OF CONCEPT

Coordinating traffic signals across a road network.

Organization: Toyota Tsusho

A public Professional Service example reports a 20% reduction in waiting time through network-wide traffic signal optimization using Azure Quantum.

-20% wait

Decision

How should signals be coordinated across a network?

What is modelled

Traffic demand · Road topology · Signal phases

Operational outcome

Coordinated signal plans · Reduced delay · Better network flow

Beyond Commercial projects

National & multinational programs

JIJ leads and participates in publicly funded programmes that push optimization and quantum computing toward industrial use.

United Kingdom

SparQ

The UK’s national use-case project applying hybrid decomposition across classical and photonic quantum computing to unit commitment problems in the energy industry.

JIJ consortium lead. With bp, ORCA Computing and the National Quantum Computing Centre.

European Union

Q-NEKO

A EuroHPC Joint Undertaking program combining quantum technologies with high-performance computing, spanning 13 research and industry stakeholders across Finland, France, Germany, the UK, Czech Republic, Denmark and Japan.

JIJ consortium participant, representing the UK.

Japan

National quantum programs

Japan’s national quantum initiative spans hardware, middleware and enabling components across a portfolio of major research and development projects.

JIJ leading party on middleware, with G-QuAT for two major national middleware projects.

WHY THESE PROGRAMS ARE KEY FOR THE INDUSTRY 

They connect industrial problems, advanced computing methods, and shared benchmarks beyond the scope of any single commercial engagement.

01

Model

Represent the decision, data, and constraints in a form the team can inspect.

02

Compare

Evaluate formulations and compute paths against the same operational objective.

03

Operate

Connect the chosen method to repeatable workflows, APIs, and shared evidence.

Making society computable
to unlock humanity's potential.

[JIJ Inc.]
 #403, CIC, 3-3-6 Shibaura, Minato-ku, Tokyo,108-0023, JAPAN


[JIJ Europe Ltd.]
 F25 Atlas Centre,
 Rutherford Appleton Laboratory,
 Harwell Campus OX11 0QX
 United Kingdom


[JIJ EU (JIJ GmbH) ]
 Beiersdorfstraße 12, 22529 Hamburg, Germany

Japan · United Kingdom · Germany · United States

© 2026 JIJ Inc.

Optimization · AI · Quantum computing