The development of an emerging technology raises questions that do not fit neatly within a single discipline. Scientific performance, engineering maturity, standards, programme structure and commercial relevance are often discussed separately, even though decisions in one area can strongly constrain the others.
This section brings together articles, technical notes and commentary arising from my historical and Quantalytics work in quantum technology, systems engineering, standardisation and innovation programmes.
The purpose is to examine problems where the answer is not obvious, where terminology or evidence may be incomplete, or where an apparently technical question depends on a wider system or organisational context.
Articles in this area consider how quantum effects can be developed into useful systems.
Topics may include requirements, system boundaries, measurement and control, verification, reliability, architecture, interfaces and the relationship between quantum devices and the classical systems around them.
Of particular interest is the point at which conventional systems methods remain useful, but need to be adapted because the technology is immature, the evidence is incomplete or the physical behaviour cannot be separated cleanly from measurement and environment.
Note: for engineered quantum systems, which is a subset of quantum systems engineering, see articles such as "Engineering Dissipative Channels for Realizing Schrödinger Cats in SQUIDs" in the Modelling and technical research section below
Technical programmes often have to proceed before all relevant uncertainties have been resolved.
This section considers how organisations can assess maturity, structure evidence, identify significant risks and make development decisions without creating a false impression of certainty.
Topics may include roadmapping, readiness assessment, programme review, education and training, technology comparison, innovation institutes, public funding and the relationship between technical progress and commercial exploitation.
Models can clarify physical behaviour, expose assumptions and connect scientific results with engineering decisions. They can also create misleading confidence when their limits are poorly understood.
This section includes work on quantum mechanics, phase-space methods, quantum measurement, superconducting systems, spin, control and the quantum-to-classical transition, together with discussion of their possible engineering significance.