Quantum & PQC • QT-02

Chemistry & Materials Simulation

Apply quantum simulation where classical methods hit their limits.

Scope

What the engagement covers.

Quantum chemistry is one of the few near-term areas with credible advantage potential. This service frames the problem, runs the pilot and reports honestly on whether the advantage is real yet.

Included capabilities

Problem framing for catalyst, battery, materials and molecular research
Hybrid classical-quantum workflow design
Simulation execution with error mitigation techniques
Result validation against experimental and classical computational data
Research roadmap for when hardware maturity changes the answer

Outputs and deliverables

Problem framing and feasibility assessment
Hybrid workflow design and implementation
Simulation results with validation analysis
Research roadmap with revisit criteria

Workflow

How it is delivered, step by step.

Each step has an owner, an entry condition and an artefact that has to exist before the next step begins.

01SelectResearch problem where classical methods are genuinely limited.

02DesignHybrid workflow with classical pre and post processing.

03SimulateExecution with error mitigation and parameter sweeps.

04ValidateCompare against experimental and classical reference data.

05RoadmapDefine the hardware threshold at which to revisit.

Use cases

Where this is typically applied.

Use case 01

Chemical and materials companies with hard simulation problems

Use case 02

Pharmaceutical research into molecular interactions

Use case 03

Energy storage research into novel materials

Delivery model

The operating pattern for Quantum & PQC.

The same delivery discipline applies across every capability in this line, so combined engagements stay coherent.

Frame

Candidate use cases, benchmark definition and realistic timelines.

Access

Route to quantum resources, environments and developer tooling.

Experiment

Controlled pilots with classical baselines for honest comparison.

Validate

Benchmark results, cost model and go or no-go decision.

Transfer

Skills, documentation and internal capability to continue the work.

Integration

Existing HPC and simulation workflows for hybrid classical-quantum runs.
HSM and key management estate for entropy and PQC test integration.
Research data platforms and publication or IP processes.
Security architecture, so experiments inform the migration roadmap.

Engagement approach

Quantum work is framed as applied research with explicit success criteria, so the organization gets either a validated use case or a documented, defensible negative result.

Other capabilities in Quantum & PQC.

View the full Quantum & PQC line →

QT-01