Quantum4EnergyNL Symposium
A symposium on quantum technology and applications for the energy sector and energy transition.
View eventA FUNDAMENTALLY DIFFERENT APPROACH. DEVELOPED BY QUANTADUTCH.
Compute more.With less.
More choices quickly demand more computing power. QuantaDutch challenges that assumption.
We have developed our own optimisation software that takes a fundamentally different approach to complex problems. For planning, energy and logistics, where millions of possible combinations emerge and capacity is limited.
Our technology is designed to tackle these problems on conventional computer hardware. Our aim is to make complex optimisation practical, with less reliance on heavy infrastructure.
Less heavy hardwareSpecialised compute does not have to be the starting point.
Lower infrastructure pressureLighter compute can create advantages in cost, energy and management.
Faster to pilotTest a concrete use case without first building a large infrastructure project.
Events
Meet QuantaDutch
QuantaDutch will be attending these two events on quantum technology and practical applications. Attending too? We would welcome the opportunity to meet and explore shared interests.
Exploring the Future of Quantum Applications
KIVI, The Hague
A Quantum Application Lab event exploring the development of quantum applications and their translation into practical value.
View eventAttending too? Arrange a brief meeting with us in advance.
Arrange a meetingThe technology
Not more brute force. A different way to optimise.
As variables, constraints and choices increase, the number of possible combinations grows rapidly. Traditional solutions therefore often require more memory, more processors and heavier infrastructure.
QuantaDutch takes a different route. Our proprietary software was developed to approach large combinatorial solution spaces in a fundamentally different way, with conventional computer hardware as the practical starting point.
Energy in practice
10 flexible assets. Two quarters ahead. 3.5 billion possible combinations.
Imagine an energy hub controlling batteries, EV chargers, heat pumps and other flexible installations. Each asset has only three possible settings per quarter-hour.
10 flexible assets
With three possible settings per asset, a single quarter-hour already creates 59,049 possible combinations.
3,486,784,401 combinations
Look just two quarter-hours ahead and the same simplified planning problem grows to almost 3.5 billion possibilities.
And then the real world starts
Grid capacity, energy prices, storage, local generation, charging demand, contracts and technical limits still have to be added.
This is where QuantaDutch starts. Our software is developed for energy and capacity challenges where the number of possible choices grows rapidly. The goal is to use available capacity more intelligently through a fundamentally different optimisation approach.
Illustrative calculation: 10 assets with 3 possible settings per quarter-hour. The numbers show combinatorial growth and are not QuantaDutch performance benchmarks.
The benefits
Powerful optimisation with lighter infrastructure as the starting point.
For large organisations, this can create practical advantages in cost, energy, deployment and speed of experimentation.
Less hardware
Designed for practical use without heavy specialised compute as a standard requirement.
Lower cost
Less infrastructure can reduce the need for hardware, cloud capacity and management.
Less energy
A lighter compute footprint can reduce the energy demand of compute-intensive optimisation.
Faster testing
Explore new optimisation problems without first starting a major infrastructure project.
Applications
Where many choices need to work together.
QuantaDutch focuses on environments where planning, capacity, resources and constraints continuously influence one another.
Manufacturing
Machines, people, materials, sequences and capacity.
Logistics
Routes, resources, time windows, inventory and disruptions.
Energy
Capacity, demand, supply, assets and technical constraints.
Complex planning
Priorities, dependencies, scenarios and scarce resources.
About us
Built on technology, entrepreneurship and trust.
QuantaDutch grew from a collaboration spanning more than twenty-five years. What started with a shared curiosity about patterns and complex systems developed into a company with proprietary optimisation software and a clear long-term vision.
Where technology and entrepreneurship come together.
John focuses on the technological core of QuantaDutch. His investigative way of thinking and long-standing interest in patterns, coherence and optimisation helped shape the software we develop today.
Edwin brings more than twenty years of experience from the financial sector. His background in entrepreneurship, governance, risk management and contractual structures provides the business foundation for controlled growth.
Jan fulfils a supervisory and advisory role, contributing to continuity and careful decision-making.
Built for the long term
We deliberately choose depth, careful validation and collaboration with organisations that genuinely want to explore a complex challenge. Our technology is designed to strengthen existing systems, not to replace them unnecessarily.
Pilot
Bring us your hardest optimisation problem.
No major implementation upfront. We start with one defined case and explore together what our software can mean in your situation.
What we define together
- Where does the combinatorial complexity arise?
- Which variables and constraints determine the system?
- Which data and existing systems are available?
- What outcome would make a next step worthwhile?
Follow QuantaDutch
From complex systems to concrete choices
Follow our developments, applications and further exploration in optimisation, energy, logistics, industry and infrastructure.
For business updates, new developments and partnerships.
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For visual explanation, concepts and longer deep-tech explorations.
View YouTubeContact
A difficult problem is often the best place to start.
Do you have a planning, capacity or optimisation problem that has become too complex or compute-intensive for existing methods? Get in touch.