Skip to Content

R&D 2002: Quantum Computing

Microsoft Research’s theoretical mathematics program breaks the mold with research into a strategy to make quantum computing work.
December 1, 2002

Populated by programmers worrying about fixes for the latest operating systems and rollouts of new applications, a software company might seem an odd place for rethinking the very foundations of computation. But at Microsoft Research, Michael Freedman is doing just that. One of the world’s most heralded mathematicians and a 1986 winner of the Fields Medal-math’s equivalent of a Nobel Prize-Freedman is spending his days pondering one of the toughest puzzles in physics: how to transform quantum computing from an abstract dream into a feasible technology. And he believes he may have found a solution.

For decades, physicists have speculated that quantum computers would define the ultimate limits for speed, size, and power in computers. The peculiar laws of quantum mechanics dictate that a “quantum bit” has almost magical computing potential. While the digital bits stored in a desktop computer correspond to either ones or zeroes, quantum bits-sometimes represented in the spin of nuclei or ions-can be both ones and zeroes simultaneously. Even odder, quantum bits are linked by a phenomenon called “entanglement.” Together, these properties mean that a computational operation on one quantum bit affects others, implying potentially awesome computing power. In theory at least, quantum computers will need only microseconds to crack even the most sophisticated encryption codes and will be able to search petabyte databases in a flash.

“The idea is to store a bit of information on each atom,” says MIT quantum computer researcher Seth Lloyd. “It’s the logical endpoint of Moore’s Law.”

At this nanoscopic scale, however, the world is anything but logical. For those hoping to build a quantum computer, that is both good and bad, and it’s where Freedman’s work comes in. Specifically, he’s trying to solve a problem that has bedeviled quantum computing researchers seeking a way to store information in the spin of nuclei or ions: even the slightest disturbance scrambles the quantum bits and destroys their entanglement. Topology, Freedman’s brand of abstract math, might provide the answer. Topologists worry about the qualities of geometric shapes rather than quantities such as size: the way strands of a knot are entwined is more important than how big the knot is. And Freedman believes that if quantum bits were based on topology, they would be far more robust.

To visualize how this might work, put three marbles on a table and scoot them around. If you were able to keep track of and record the position of the marbles over time, their three paths might eventually trace a “braid.” Freedman imagines that his computer would be made of special “quasiparticles” found in exotic materials such as superconductors that “remember” where they have been. These particles might be braided or arranged using electric fields, and the shape of the braid would be used to represent data. Unlike other quantum bits, however, these quantum braids would be less vulnerable to external disturbances because their shapes would be robust.

Freedman’s work doesn’t stop with out-of-this-world thought experiments. He’s looking for a real material that can perform these topological tricks. “I’m a pure mathematician transitioning into materials designer,” he says. To help him, Freedman has recruited researchers with materials experience onto his team. Working together, they hope both to design and to fabricate a substance that has all the right properties for supporting error-free quantum computing.

This project, of course, marks quite a departure for Microscoft, a company associated with word processing software and desktop computing-not materials science or basic physics. For one thing, it will likely be decades before quantum computing becomes feasible, if it ever does. And for another, if Freedman is right, his advance will signal a quantum jump in computing that will make almost everything Microsoft does obsolete. “My fantasy,” says Freedman, “is that Bill Gates can get up someday and say Microsoft introduced the quantum computer and a software revolution at the same time.”

Keep Reading

Most Popular

10 Breakthrough Technologies 2024

Every year, we look for promising technologies poised to have a real impact on the world. Here are the advances that we think matter most right now.

Scientists are finding signals of long covid in blood. They could lead to new treatments.

Faults in a certain part of the immune system might be at the root of some long covid cases, new research suggests.

AI for everything: 10 Breakthrough Technologies 2024

Generative AI tools like ChatGPT reached mass adoption in record time, and reset the course of an entire industry.

What’s next for AI in 2024

Our writers look at the four hot trends to watch out for this year

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.

Thank you for submitting your email!

Explore more newsletters

It looks like something went wrong.

We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at with a list of newsletters you’d like to receive.