Skip to main content
  1. Home
  2. Computing
  3. Trash
  4. News

IBM’s new 127-qubit processor is a major breakthrough in quantum computing

Add as a preferred source on Google

IBM has revealed its latest and most powerful quantum processor, and it represents a key breakthrough in the quantum computing industry.

Dubbed Eagle, the 127-qubit processor becomes the first of its kind to deliver more than 100 qubits. To illustrate just how powerful quantum computing systems are, it’s been a requirement until recently that their qubits have to be cooled at temperatures as cold as outer space.

IBM has announced its 127-qubit “Eagle” quantum processor.
Image used with permission by copyright holder

In order to demonstrate the power of Eagle, IBM highlighted how a computer has typically required more bits than atoms found in every human in the world to successfully simulate the processor.

Due to the substantial quantity of qubits, Eagle is claimed to be the first processor ever created that cannot be simulated on a classic supercomputer.

By increasing the amount of qubits in a quantum computer, it allows highly sophisticated programs to function on such systems that would otherwise not be capable of running on a standard supercomputer.

“The arrival of the Eagle processor is a major step toward the day when quantum computers can outperform classical computers at meaningful levels,” said Dr. Darío Gil, senior vice president and director of research at IBM. “Quantum computing has the power to transform nearly every sector and help us tackle the biggest problems of our time.”

IBM aims to achieve “quantum advantage” by 2023.

The processor architecture of Eagle features new methods that place control components on several physical levels, while qubits have been incorporated into their own level. 

IBM also noted how it had to combine and improve techniques that originated in previous generations of IBM quantum processors so it could develop an architecture that includes advanced 3D packaging techniques. Ultimately, such functionality will allow the company to provide a strong foundation for its processors, which includes the forthcoming 1000-plus-qubit Condor chip.

As for plans pertaining to future IBM quantum systems, Condor in particular is expected to contain 1,121 qubits in total upon its planned launch in 2023. Eagle’s immediate successor, the 433-qubit Osprey, is scheduled for a 2022 release.

The company also aims to achieve “quantum advantage” by 2023. The term is attributed to quantum computers that can solve problems that are impossible to crack via a classical computer. Condor’s capabilities will help in accomplishing this goal.

Eagle will become available to select members of IBM’s Quantum Network, who have remote access to IBM’s quantum computers, in December. IBM will divulge more information related to its quantum systems at its annual Quantum Summit event taking place tomorrow, November 16

Zak Islam
Former Contributor
Zak covers the latest news in the technology world, particularly the computing field. A fan of anything pertaining to tech…
Microsoft Edge is about to get more frequent updates, but don’t expect more features
Starting with Edge 152 on August 27, Microsoft is cutting its release cycle in half, with smaller but more frequent updates for Stable channel users.
Microsoft Edge illustration official

Microsoft is accelerating updates to its Edge browser, switching from a monthly release schedule to a biweekly one. The change takes effect with Edge 152, due on August 27, and puts the browser on the same cadence as Google Chrome.

More updates, not more features

Read more
What makes a laptop good for both work and entertainment?
Computer, Electronics, Laptop

This post is brought to you in paid partnership with HP.

The HP OmniBook X Flip is designed as an all‑day AI PC that adapts seamlessly from productivity to entertainment without switching devices.

Read more
Your Windows 11 PC can now natively run AI workloads, even if it lacks the Copilot+ badge
Windows 11 laptop on a table

For the better part of a year, Microsoft has been telling us that the future of AI on Windows belongs to Copilot+ PCs. If you wanted Microsoft’s most advanced local AI features, you needed a machine with a dedicated Neural Processing Unit (NPU). That was the deal. Now, Microsoft appears to be rewriting the rules.

According to updated documentation, Windows 11’s local Language Model APIs can now run on non-Copilot+ PCs, provided they have an Nvidia GeForce RTX 30-series GPU (or newer) with at least 6GB of VRAM. On the surface, this sounds like a developer-focused update. In reality, it could be one of the most significant shifts in Microsoft’s AI PC strategy since Copilot+ PCs launched last year. More importantly, it raises a question that has been lingering ever since the AI PC era began: Did we really need NPUs for all of this in the first place?

Read more