For decades, quantum computing has existed at the edge of possibility—tantalizing yet just out of reach. The promise has always been clear: machines capable of solving problems that no classical computer ever could. The challenge has been equally daunting—creating qubits that are both stable and scalable enough to realize that vision.

This week, Microsoft made a bold claim that could shift expectations, unveiling Majorana 1, a quantum processing unit built on a topological core using a new class of materials called topoconductors. This marks not just a theoretical leap, but a tangible step forward in the real-world pursuit of fault-tolerant quantum computing.

As Microsoft notes in its newly published Nature paper (Read here), significant work remains to conclusively “determine whether the low-energy states detected by interferometry are topological.” However, the progress demonstrated here suggests that practical quantum machines could arrive not in decades, as once thought, but in just a few years.

For those deeply embedded in quantum research, this isn’t an overnight breakthrough—it’s the culmination of ideas first proposed more than two decades ago. At Quantum Coast Capital (QCC), we’ve long recognized the importance of foundational quantum research, and in many ways, Microsoft’s unveiling validates work that our Chief Science Officer, Dmitry Green, helped pioneer at the turn of the millennium.

In 2000, Green, alongside physicist Nick Read, published a paper in Physical Review B that fundamentally reshaped the way scientists think about quantum states. Their research on Majorana fermions in paired states of fermions in two dimensions provided a critical link between superconductivity and topology, demonstrating that a specific type of quantum particle—Majorana zero modes—could exist within a spinless p-wave superconductor. This was more than just an interesting theoretical exercise; it laid the groundwork for the idea that quantum information could be encoded in topological states of matter, offering a path toward qubits that were not only more robust but inherently resistant to errors. Their work has since been recognized as a milestone by the American Physical Society and has influenced some of the most important developments in quantum physics, including Alexei Kitaev’s model for Majorana fermions in one dimension, which later became the basis for experimental implementations, including in Microsoft’s recent release.

For years, the concept of topological qubits remained in the realm of theory, with researchers pushing forward on multiple fronts, from trapped-ion systems to superconducting circuits. The challenge has always been the same: scalability and error correction. Today’s quantum computers rely on fragile qubits that require constant error mitigation, limiting their ability to perform meaningful calculations. Microsoft’s announcement suggests they’ve found a way around that roadblock, developing a new class of topoconductors that allow for qubits that are smaller, more reliable, and capable of scaling toward the long-elusive million-qubit threshold.

To put that into perspective, we’re talking about a quantum chip smaller than a grain of rice with the potential to tackle computational problems that even the sum total of all classical computers on Earth couldn’t solve. The implications stretch across industries—materials science, pharmaceuticals, cybersecurity—any field where classical computing struggles to process the sheer complexity of data at a fundamental level.

Breakthroughs like this don’t appear out of thin air. They emerge from decades of rigorous, methodical research, from countless iterations and refinements, from a willingness to explore ideas long before they are commercially viable. That’s why at Quantum Coast Capital, we don’t just follow the news—we anticipate it. The understanding of fundamental physics within our firm, shaped by scientists like Dmitry Green, has allowed us to recognize real quantum potential versus the hype that so often surrounds emerging technologies.

Of course, there’s still a long road ahead. While Microsoft’s announcement is a major step forward, practical quantum computing is not a solved problem. Engineering a system that can operate at scale, integrate with existing computational frameworks, and deliver real-world advantages remains a challenge. But this milestone proves that the theoretical foundations laid decades ago are not just academic exercises—they are the blueprint for the quantum revolution that is unfolding.

This moment is a reminder that investing in deep science isn’t about quick returns; it’s about shaping the future. The questions now are no longer about whether quantum computing will change the world, but how soon—and who will be ready when it does.