An independent research practice in the Netherlands, working across quantum technology, integrated photonics, wireless systems and machine learning — with a particular interest in sensing and detection when the conditions are poor.
Detection performance is usually reported under conditions that do not hold in the field. The interest here is the opposite case: what happens to a sensing system in noise, in interference, in weak or distorted propagation, and when something is actively working against it — and what has to change in the processing for a detection to remain worth acting on.
That question runs across all four areas. Quantum sensing raises it for navigation without satellite positioning. Photonics raises it at the physical layer. Wireless raises it for interference and crowded spectrum. Machine learning raises it for whatever classifier sits on top, and for whether the confidence it reports means anything.
The question underneath: what does an operator need in order to trust a detection, and act on it, when the system itself is unsure?
QuMind Research works as an industrial partner in funded research consortia, and as a collaborator on applied work that leads to publication. It is a small practice, which makes it easy to engage with and limits what it can carry alone — most of the interesting work is done alongside a university group, an institute, or an industrial partner who owns the problem.
If you are putting a consortium together and need a Dutch SME partner with signal processing and modelling capability, that is a conversation worth having.
Preprints and published work will be listed here as they appear, with links to the published versions.
For collaboration, consortium participation, co-authorship, or a question about the work.
hcordova@qumindai.nl For commissioned industry work, see Applied Research.