He is a professor at the University of Gent (BE) responsible for quantum computer engineering research. The goal is to create a quantum accelerator, based on the PISQ-methodology. The emphasis is more on the QC-logic rather than the number of qubits.

He decided to create QBee.eu to start working with industrial companies such that more application fields are looked at from a QC-logic point of view.

Very important is that QBee has a first client, a large EU-based space company.

QBee is also still looking for a good CEO and more investors. The way forward has clearly been found and we need more collaboration with other startups, universities and companies to make it in a real-world computational accelerator.





QBee Mission

A small history of QBee
10 years ago, one of the founders of QBee started working on quantum computing in Delft and managed to land the US-based company, Intel. They wanted  to develop a first tentative quantum chip. There was also an intensive collaboration with the superconducting team in Delft and that led to a relatively large quantum chip of more than 30 qubits.


Quantum Technology

QBee has defined the full stack for a quantum accelerator. It starts at the application layer and, as a company, focuses on Quantum Genetics and Quantum Chemistry.   Any application is then executed by different, fully integrated layers such as the programming language, the micro-architecture up to the quantum simulator.

Logic and programming

QBee has now moved to the public domain platform, called Qiskit.



The entire micro-architecture controls the execution of any application on the quantum accelerator.



The QBeeSim simulator computes the new amplitudes for the intermediate qubit states.


QBee part of QuiC, the Quantum Industry Consortium from the Q Flagship

QBee.eu part of the Quantum Business Network, QBN - meeting in Barcelona 14-15 June 2023

I am speaking at QBN Meeting on Quantum Computing & Applications with a talk “PISQ and NISQ – The next...

Q Application

The research described here was among the first few to explore the applications of quantum computing in bioinformatics. There exists a considerable technological readiness gap between the resource requirements of realistic quantum algorithms and available physical quantum processors. Thus, most developments in QC algorithms are agnostics to hardware developments and focuses on theoretical proofs of advantages in terms of computational resources.Discover more
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