Independent advisory in
computational physics,
quantum algorithms, and
nuclear engineering

Core focus areas

Nuclear engineering, nuclear safety & simulation

Mathematical modelling and reactor physics simulations. Safety analyses, accident management strategies, and licensing documentation support for operational plants and advanced reactor designs.

Quantum algorithm implementation & FTQC feasibility

Translation of domain problems into mathematical formulations and quantum algorithms. Design and implementation of functional Proofs of Concept, followed by feasibility studies on scaling potential via fault-tolerant quantum computing (FTQC) resource estimation.

Multidisciplinary technical diagnostics & roadmapping

Rapid insight into complex, ambiguous challenges across non-standard domains. Independent technical assessment of emerging technology ventures. Pinpointing root causes in complex systems and defining actionable roadmaps to resolve them.

Background and track record

quinnov® is the independent advisory practice of dr.ir. Armand Stekelenburg. The practice operates at the intersection of fundamental physics, formal methods, and engineering, translating theoretical complexity into operational models and executable roadmaps.

Nuclear engineering
A PhD in Applied Physics from Delft University of Technology, specializing in nuclear reactor physics, complemented by independent consultancy on accident management measures and nuclear licensing documentation for nuclear modification and upgrade projects (Borssele and Dodewaard).
Quantum computing
A decade of active engagement in quantum computing, including guest lectures, algorithm design, PoC implementations, and feasibility studies on fault-tolerant architectures.
Software engineering & organizational change
28 years at IBM as a specialist in software development processes, consultant in organizational change, and consulting engagement manager.
Multidisciplinary problem solving
Proven track record in rapidly deconstructing ambiguous, high-complexity challenges across disciplines, translating technical realities into business adoption, and establishing executable roadmaps for non-standard initiatives.