Dear Friends,

In a Cosmology of Light lens, quantum computing is not merely a new technical frontier, a set of hardware roadmaps, or an eventual challenge to cryptography. It is also a way of approaching the formative layer between the invisible and the visible - the threshold where potential begins to arrange itself as pattern, where pattern becomes computation, and where computation becomes form.

Light, in this view, is not merely illumination. It is structured power, a living grammar with four embedded properties: Presence, Power, Knowledge, and Harmony. When that fourfoldness is intact, systems cohere; when it fragments, systems drift. That same question of coherence sits beneath a recent Forbes Technology Council article, "The Future of Quantum Computing Is Multi-Model - and Why That Matters," which asks why quantum computing is unlikely to resolve into one dominant model.

In this newsletter I reinforce key aspects of that article:

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1. A path into quantum computing that begins through light rather than through machines
2. The quantum layer as a generative threshold between the invisible and the visible
3. QIQD and reverse extrapolation as a way of reading nature back toward its underlying dynamics
4. The industry acceleration now taking place through capital, cryptography, hardware, and optimization,
5. Why quantum will be multi-model rather than one-model, and
6. What leaders should begin asking as the real quantum era comes into view

Best Wishes.

Pravir

That is the core of QIQD, or the Quaternary Interpretation of Quantum Dynamics: arriving at underlying dynamics through reverse extrapolation.

Rather than beginning only with abstract models and asking nature to fit them, reverse extrapolation begins with organized realities we can observe - matter, biology, living systems, adaptation, structure, and coherence - and then works backward toward the deeper quantum dynamics that may be generating them.



This does not reject conventional quantum research. It widens the frame. It asks whether nature's own coherence, across multiple scales, may disclose dynamics that are not yet fully captured by machine-centered models alone.

At the same time, the quantum industry has accelerated through a very different doorway: capital flows, cryptography, hardware development, and commercial urgency.

Investment rose sharply from roughly 2020 onward. Concerns about post-quantum cryptography brought quantum into more boardrooms. The release of finalized NIST post-quantum encryption standards in 2024 made the security transition more concrete. And for more than a decade, annealing-based quantum computing has already shown practical relevance in optimization work.

The important point is this: quantum computing is not simply arriving. In some domains, it is already doing useful work. What is changing now is the broadening recognition of what quantum computing is, and how many forms it may take.

The mistake is to assume that quantum computing will eventually collapse into one dominant model. It will not.

Superconducting, semiconducting, photonic, topological, annealing, gate-based, hybrid, and future paradigms may all matter. This plurality is not a weakness. It is a sign that we are dealing with a layer of nature deeper than any single machine design.

Atoms did not produce one technology. They opened semiconductors, medical imaging, advanced materials, nuclear energy, modern chemistry, and more. The quantum layer is likely to do the same. It will not be exhausted by one vendor's roadmap, one hardware modality, or one algorithmic framework.

The leadership question is no longer simply, "Does quantum work?" In some domains, it clearly does.

The better question is: "Where can we begin using it now?" That means developing literacy across models; identifying opportunities in optimization, simulation, secure infrastructure, and complex decision systems; and learning where hybrid quantum-classical deployment may create near-term advantage.

But the deeper leadership question is about openness. If quantum progress comes not only from engineering but from observing how nature organizes across scales, then leadership will require more than technical adoption. It will require different ways of seeing.

My path into quantum computing began not with a machine, but with the nature of light and the mystery of manifestation. The market arrived through a different path: cryptography, investment, hardware, and commercial urgency.

Now the two paths are converging.

Quantum is entering a new phase not because one model has won, but because we are beginning to understand that no single model ever will. That may be the clearest sign that the real quantum era has begun.

Adapted from the Forbes Technology Council article, "The Future of Quantum Computing Is Multi-Model - and Why That Matters."