IBM Reveals Its Ambitious Quantum Computing Roadmap
In a new blog, IBM has revealed its roadmap for quantum computing and it's an ambitious one that includes the development of a 1,000-plus qubit device, called IBM Quantum Condor, targeted for the end of 2023.
"Building a device that truly captures the behavior of atoms—and can harness these behaviors to solve some of the most challenging problems of our time—might seem impossible if you limit your thinking to the computational world you know. But like the Moon landing, we have an ultimate objective to access a realm beyond what’s possible on classical computers: we want to build a large-scale quantum computer," wrote Jay Gambetta, vice president of IBM Quantum.
IBM also noted how they are building a dilution refrigerator larger than any commercially available one in order to house ever more massive devices. The firm's plan puts them on course to develop the future’s million-plus qubit processors.
This will require industry-leading knowledge, multidisciplinary teams, and agile methodology but IBM is prepared with all of these acquired. Indeed, their hardware roadmap has a very lofty goal in mind: "to design a full-stack quantum computer deployed via the cloud that anyone around the world can program."
Their path will include the following steps. First, IBM will launch its 127-qubit IBM Quantum Eagle processor next year which will feature key upgrades such as through-silicon vias and multi-level wiring. Then, in 2022, IBM will launch a 433-qubit IBM Quantum Osprey system inspired by the design principles established for the firm's smaller processors.
Finally, in 2023, IBM will debut the 1,121-qubit IBM Quantum Condor processor. This one will incorporate the lessons learned from all previous processors.
"We think of Condor as an inflection point, a milestone that marks our ability to implement error correction and scale up our devices, while simultaneously complex enough to explore potential Quantum Advantages—problems that we can solve more efficiently on a quantum computer than on the world’s best supercomputers," explained Gambetta.
Gambetta also added that "a fault-tolerant quantum computer now feels like an achievable goal within the coming decade," thanks to the firm's vision.
Ryan Harne and his team created a material that can "think".