QBee Mission

A decade ago, one of QBee’s founders initiated quantum computing work in Delft, securing a collaboration with Intel in the U.S. to develop an early quantum chip. This collaboration extended to an intensive partnership with Delft’s superconducting team, resulting in a substantial quantum chip with over 30 qubits. This early venture set the stage for QBee’s evolution.

Now QBee based in Belgium and founded by people from academia, focuses on advancing quantum computing in applications, algorithms, and software. Positioned at the forefront of quantum computing research, QBee is dedicated to expanding the practical applications of quantum technology. Rooted in academic expertise, QBee is poised to contribute significantly to the quantum computing landscape, driving innovation in algorithms and software solutions. Their commitment to research and development establishes them as a key player in advancing quantum computing, contributing to its transformative growth.


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.



Quantum Computing and Earth Observation (EO) Earth observation involves gathering and analyzing data about the Earth and its environment through...


Genetics Nucleic acids like DNA and RNA are very long, thread-like polymers, made up of a linear array of monomers...

QBee Main Focus

The research detailed in this context represents a pioneering effort in the early exploration of quantum computing applications. It is situated within a dynamic landscape marked by the emergence of quantum computing technologies. Notably, a significant technological readiness gap persists between the resource demands of practical quantum algorithms and the current capabilities of physical quantum processors. This disparity prompts researchers to operate with a hardware-agnostic mindset, emphasizing the theoretical aspects of quantum computing algorithms. Consequently, the primary focus lies in establishing theoretical proofs that highlight the computational advantages offered by quantum algorithms, irrespective of the ongoing developments in quantum hardware. This approach underscores the fundamental drive to demonstrate the transformative potential of quantum computing, paving the way for advancements that transcend current hardware limitations.
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