Rotonium has been selected for the NATO DIANA 2026 Challenge Programme Cohort, under Contested Electromagnetic Environments.

We stand at the dawn of a new era, where light itself becomes the medium of thought.

Turning the coexistence of order and disorder into a quantum signal, and using it as a new tool for Quantum Machine Learning and the future of AI.

From inevitability to Quantum Machine Learning

How ER=EPR can take form inside Loop Quantum Gravity, suggesting that spacetime itself emerges as a web of quantum entanglement links.

In life, as in mathematics, some things are simply inevitable. In chaos we must expect both fragility and strength, both risk and opportunity.

For us at Rotonium, the message is clear: The future is not only about scaling to millions of qubits. It is also about finding the right problems and the right formulations, where small quantum devices can already outperform brute force. Sometimes, small is enough — and that is where innovation begins.

A concrete step towards practical, scalable photonic quantum computing — no cryogenics required.

Rotonium Shares Its Vision for a Room-Temperature Photonic Quantum Processor

Quantum computing is evolving fast, but the models we use are still grounded on fermions and bosons.  At Rotonium, we believe a different future is possible: one based on the algebra of paraparticles, the structure of light, and the deep symmetry behind matter itself. We recently published a theoretical paper that outlines this vision: Graded Paraparticle Algebra of Majorana Fields for Multidimensional Quantum Computing with Structured Light