MANILA, July 6 — MANILA, July 6, 2026 — The story of quantum computing begins not in a corporate lab, but in the mind of a physicist who asked a simple question: what happens when we try to simulate nature itself? In 1981, Richard Feynman proposed using quantum systems to simulate other quantum systems. It was a radical idea — that the best way to understand the strange world of atoms and particles was to build a computer that behaved like them.
Four years later, David Deutsch described the first universal quantum computer. This was the theoretical blueprint, the idea that a machine could harness quantum mechanics to perform calculations no classical computer could match.
Then came the breakthrough that made everyone pay attention. In 1994, Peter Shor developed an algorithm for integer factorization. This wasn’t just academic — it showed a practical advantage, a real-world problem where a quantum computer could outperform anything we had.
The hardware followed. In 1995, researchers realized the first experimental quantum logic gate.
By 1998, the first working 2-qubit quantum computer was demonstrated. These were small steps, but they proved the concept could work outside of theory. For communities across Asia, where technology adoption often leaps ahead of infrastructure, the implications are enormous.
A quantum computer powerful enough to crack encryption or model new materials would reshape industries from banking to pharmaceuticals. In 2019, Google announced its Sycamore processor had achieved quantum supremacy. The company said it performed a task in 200 seconds that would take a classical supercomputer 10,000 years.
It was a milestone that made headlines around the world. But IBM challenged this claim in 2020, arguing that classical computers could match the feat.
The debate highlighted something important: this field is still young, and claims of progress are tested and retested. Other milestones include the development of quantum error correction codes and the first quantum cloud services in the 2010s. These made quantum computing accessible to researchers who couldn’t build their own machines — a step toward democratizing the technology.
What it means for people closer to home is still unfolding. Quantum cloud services mean that a university in Manila or a startup in Singapore can access quantum processors without building one.
The barriers are lowering. The path from Feynman’s 1981 lecture to today has been steady, if not always fast. Each milestone — from Deutsch’s universal computer to Shor’s algorithm to Google’s Sycamore — has built on the last.
What comes next is anyone’s guess. But for families across the region watching this technology mature, the promise remains: a computer that thinks like nature itself, solving problems we cannot yet imagine.
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