Microsoft Corp. has unveiled the Majorana 2 quantum-computing chip, which the company said was redesigned using artificial intelligence [1].
The development marks a significant step toward creating commercially useful quantum systems. These machines could eventually solve complex real-world problems, and address security threats to current cryptographic systems [2, 5].
Microsoft announced the new hardware during an event in San Francisco [3]. The company said the Majorana 2 chip is approximately 1,000 times more reliable than the previous version [2]. This increase in stability is critical for quantum computing, where qubits are fragile and prone to errors.
By leveraging AI to design the chip, Microsoft aims to shorten the timeline for developing stable quantum hardware. The company said it has set a target to have commercially useful quantum systems available by 2029 [1, 4].
This roadmap aligns with a broader goal to deploy these machines by the end of the decade [2]. The push for more reliable hardware is driven by the need for a "fault-tolerant" quantum computer—one capable of correcting its own errors to perform calculations that are impossible for classical computers.
While the announcement took place on June 2, 2024 [1], the company continues to iterate on the technology to meet its 2029 deadline [1]. The integration of AI into the design process represents a shift in how quantum hardware is developed, moving away from traditional trial-and-error methods toward AI-driven optimization.
“The new Majorana 2 chip is reportedly 1,000 times more reliable than its predecessor.”
The transition to AI-assisted hardware design suggests that the bottleneck in quantum computing is shifting from theoretical physics to engineering scalability. If Microsoft achieves a 1,000-fold reliability increase, it brings the industry closer to breaking current encryption standards, which necessitates a global shift toward quantum-resistant cryptography to protect sensitive data.
