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Quantum Trading: when technology provides a clear market differentiator
When quantum computing were available at the edge, there will not exist any more token economy. It will be possible to run frontier models in a laptop, guaranteeing sovereign AI and the control on the data and communications. And this will enable a lot of new business use cases and accelerate existing ones.
Quantum is not suitable for every problem, but it can provide an advantage in mathematical optimization and AI. Some orchestration challenges, such as aFRR and mFRR, still rely on approximations. Quantum could support faster coordination between TSOs, generators and demand, simplifying grid balancing and improving operational robustness.
Computing has repeatedly shifted between centralized and decentralized models. Quantum could bring high computing capacity closer to the edge, supporting complex mathematical optimization and GenAI without relying entirely on centralized infrastructure.
Physical AI still depends heavily on connectivity and cybersecurity. Quantum computing could support more autonomous machines, from robots maintaining critical infrastructure to autonomous systems operating large industrial assets.
Advanced analytics and rapid decision-making are still concentrated in firms with large IT budgets. Quantum could widen access to these capabilities and accelerate data driven trading, with autonomous systems reviewing positions and correcting decisions within seconds.
Quantum could analyze market inputs, business impacts and physical constraints in near real time. This could support global asset optimization, high-frequency trading decisions, grid-flow management and lower renewable-energy curtailment.
NTTデータのサポート体制は？
Defining fault-tolerant systems. Moving from decisions accuracy into portfolio robustness and continuous optimization.
Embedding quantum solutions in current processes by using cloud-based computing. Solve more complex problems faster than ever.
explore the advantages of applying quantum into physical use cases: powerplant monitoring, grid balancing, logistics optimization
Fully automating company operations. Define surveillance functions, monitoring KPI’s and guaranteeing regulatory and risk compliance.
A new generation of SW products will appear to manage ultra high-speed communications and exponential increasing volume of transactions but maintaining traceability and auditability.
Going faster is not always better. It will be key to identify what processes worth evolving and look at global long term trends- to get some guidance. High-frequency trading is not for everybody.
Quantum computing could expand access to advanced portfolio optimization, improve the value captured from asset flexibility, and support greater control of data and edge processes. This can strengthen real-time decisions across trading, assets and business units.
Manage complex portfolios including real-time optimization based on assets current performance.
Reduce imbalance, increase asset lifetime and capture market inefficiencies.
Control data access and run processes in the edge. Feed the company brain with complex metrics for cross business-unit decisions.
Stay ready and learn how to implement it before than anyone else. Orchestrate your agents in a sovereign environment, optimize your energy trading problems and enhance asset performance. Trading will become more accessible and competitive. Take action now.
