Quantum label


Tackle your toughest problems head-on with our quantum research

Taking the next leap in quantum computing together

Whether you are at the early stages of exploring quantum computing or have an established team in place, we can be the ideal research and development partner for your company or research group.

Identifying Quantum-Relevant Problems

Is your challenge suited for quantum computing?

Those that involve extensive data, require exploration of numerous solutions, or benefit from rapid simulations are prime candidates. At Kvantify, we're adept at recognizing and addressing these quantum-relevant challenges together with you.

Becoming Quantum-Ready
In a rapidly evolving technological landscape, being prepared for the quantum future is not just an option but a necessity. Kvantify serves as your trusted partner in preparing your organization, by building solutions that are solving complex computational problems today, while we explore and prepare for the problems that will gain a massive advantage when quantum hardware matures.

Let our team take a look at your problem

Finding The Right Fit For Quantum Algorithms

At Kvantify we deliver tangible business value by solving hard computational problems with an optimal combination of classical high-performance and quantum computing. Today, this optimal combination has a very small quantum component, but we expect that  sufficiently capable quantum hardware will be available in the near future - for some problems it will be optimal to move central parts of the computation to quantum hardware.

Identifying such quantum-relevant problems, which in the extreme case are impossible to solve on classical hardware, is central to reaping the value of quantum computing, and that is why we work closely with partners in life sciences, financial services, logistics, and other industries to identify those impossible problems that are not being solved today. The type of subproblems that indicate that a problem may be quantum-relevant include optimization and simulation.


Quantum's strength is in discerning the optimal solution amidst a sea of possibilities, from complex logistics to financial portfolios.

Example: Solving demand forecasts in airline revenue management
Together with Amadeus, we have conducted research for the applications of quantum computing in the field of airline revenue management.

Chemical simulation

Molecules are quantum systems and can be modeled on quantum hardware, heralding innovations in areas from drug discovery to financial forecasting.

Example: Towards quantum advantage in computational drug discovery, chemistry, and biology with our novel FAST-VQE quantum algorithm

Understanding the quantum hardware

To be at the forefront of quantum software innovation, an intricate understanding of the hardware is necessary. We run our novel quantum algorithms on all available hardware for our solutions to be truly hardware-agnostic.

Quantum Research

Staying at The Forefront
of Quantum Innovation

We aim to drive the field of quantum computing forward and will continue to perform foundational research to stay at the forefront of innovation. We do that in collaboration with partners and clients as well as a part of our own product development on quantum relevant problems.

Whether you are at the early stages of exploring quantum computing or have an established team in place, we can be the ideal research and development partner for your organization.

Our own novel quantum algorithm: FAST-VQE
Our focus on quantum innovation also produced the FAST-VQE algorithm, which presents itself as an exceptionally adept and practical algorithm for NISQ devices, delivering dependable performance and cost-effectiveness for electronic structure calculations of small molecules.

Learn more about FAST-VQE

Taking Part in Large
Research Collaborations

As part of our DNA and strategy, our team is involved in multiple research projects with companies and institutions, all working towards advancing quantum computing to the point of Quantum Advantage for practical problems. We believe in the power of knowledge sharing in driving the field forward, and it help us stay at the forefront of quantum technology innovation.

Examples include:

QuGantic: Research collaboration funded by EIC, incl. QuiX Quantum, Leibniz University Hannover, TU Eindhoven - in which Kvantify develops software such as quantum machine learning on docking of small molecules for photonics hardware.

PhotoQ: Research project with The Technical University of Denmark (DTU) where Kvantify develops quantum algorithms for logistics use cases (routing) for photonics hardware.

DanQ: Research collaboration funded by Innovation Fund Denmark, in which Kvantify develops quantum algorithms for green energy on superconducting circuits.