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Preparing utilities for quantum adoption
Complex optimisation, sensing and security needs may eventually exceed the practical limits of conventional approaches. The immediate challenge is more grounded: identify where quantum could create utility value, prepare for post-quantum risk and build readiness without locking critical operations into an immature technology path.
A measured programme helps utilities separate credible opportunities from noise, strengthen security planning and build foundations for adoption across generation and renewables, transmission and distribution, and supply.
Assess complex optimisation, sensing and planning problems against business value, feasibility and operational relevance before investment expands.
Improve visibility of cryptographic dependencies and shape a risk-based migration path for critical enterprise and operational technology environments.
Use controlled trials, clear success measures and decision gates to learn quickly while avoiding premature scale commitments.
Develop skills, governance and partner readiness so technical progress can translate into safe, accountable operational adoption.
How NTT DATA helps
Map opportunities across generation and renewables, transmission and distribution, and supply, then rank them by value, feasibility, risk and maturity.
Bring authorised asset, operational and enterprise data together, placing analytics or automation where real utility decisions are made.
Create cryptographic inventories, identify priority dependencies and define governance, controls and fallback paths suited to critical infrastructure.
Test selected quantum algorithms or sensing concepts in bounded environments, using measurable KPIs and human oversight to guide each next decision.
Build repeatable methods, multidisciplinary skills and partner models that can extend across sites, asset classes and business units as maturity grows.
A staged approach helps utilities assess opportunity, strengthen cyber resilience and make evidence-led decisions without premature scale investment.
Indicative objectives create a practical way to measure readiness, compare experiments and decide where further investment is justified.
Target a 20-40% reduction in assessment cycle time, subject to baseline performance, infrastructure characteristics, process maturity and scope.
Target a 20-50% increase in assessed readiness coverage, depending on the utility’s maturity, risk profile and operating context.
Seek significant improvement in visibility across relevant cryptographic assets, systems and dependencies to inform migration planning.
Target a 15-30% reduction in the time from controlled experiment to an evidence-based decision, depending on baseline and scope.
Identify the utility use cases, security priorities and readiness steps that can turn quantum uncertainty into a practical roadmap.
