Microsoft unveiled its Majorana 2 quantum chip on Tuesday during its annual Build conference, announcing the device is 1,000 times more reliable than its predecessor. The chip achieves average qubit lifetimes of 20 seconds, with some lasting up to one minute, improvements the company attributes to AI tools that accelerated materials discovery and manufacturing processes. The announcement intensifies concerns over when quantum computers could become powerful enough to threaten modern cryptography, including the security of Bitcoin's $461 billion in exposed funds.
Microsoft Replaces Aluminum with Lead-Based Design
Majorana 2 replaces the aluminum-based topological superconductor used in Majorana 1 with a lead-based design that better protects qubits from interference. Microsoft said this change led to substantial improvements in reliability and speed. The company stated it expects to achieve scalable quantum computing by 2029. "We need to make improvements each year that will get us closer to delivering a computer that we believe will have massive commercial and societal value," Microsoft Technical Fellow Chetan Nayak said. "We've got to keep marching to that roadmap to accomplish that, but where are we relative to last year? We're 1,000 times better."
AI Tools Automate Quantum Research and Manufacturing
Microsoft said its Microsoft Discovery platform and agentic AI tools helped researchers analyze decades of quantum research, identify promising materials, automate measurements, optimize fabrication processes, and uncover manufacturing flaws that improved qubit reliability. The company's quantum team developed an AI agent that organizes, analyzes, and surfaces information from across the program to help researchers in multiple countries and disciplines navigate the project's growing body of knowledge. "Using agentic AI to automate the measurements was a game-changer," said Zulfi Alam, corporate vice president for quantum at Microsoft. "It goes through some math and starts saying, 'Hey, where do I find the lowest point where everything sort of works?' And it can do all these voltage adjustments in parallel, which a human cannot do. The way our minds work, we are more linear."
Quantum Computing Poses Threat to Bitcoin Cryptography
The announcement comes amid ongoing concern over "Q-Day," the point at which a quantum computer becomes powerful enough to break widely used public-key cryptography, allowing attackers to derive private keys from exposed public keys and steal funds. Bitcoin is widely expected to be one of the biggest targets when that happens, with some $461 billion worth of BTC said to be at risk due to exposed public keys. "What a quantum computer could do, and this is what's relevant to Bitcoin, is forge the digital signatures Bitcoin uses today," Justin Thaler, research partner at Andreessen Horowitz and associate professor at Georgetown University, told Decrypt. "Someone with a quantum computer could authorize a transaction taking all the Bitcoin out of your accounts, or, however you want to think of it, when you did not authorize it. That's the worry."
Google and Caltech Report Parallel Quantum Advances
Microsoft is not alone in reporting rapid progress. In October, Google's Willow chip demonstrated significant reductions in quantum error rates, while more recent research out of Caltech suggested that breaking elliptic-curve cryptography may require fewer quantum resources than previously estimated. Google projected that Q-Day could arrive by 2032, while other researchers have said it could happen by 2030.
FAQ
What improvements does Microsoft's Majorana 2 quantum chip offer?
Microsoft's Majorana 2 quantum chip is 1,000 times more reliable than its predecessor, achieving average qubit lifetimes of 20 seconds with some lasting up to one minute. The chip uses a lead-based topological superconductor design that better protects qubits from interference, replacing the aluminum-based design used in Majorana 1.
How did AI contribute to the development of Majorana 2?
Microsoft said its Microsoft Discovery platform and agentic AI tools helped researchers analyze decades of quantum research, identify promising materials, automate measurements, optimize fabrication processes, and uncover manufacturing flaws that improved qubit reliability. The AI tools automated voltage adjustments in parallel, a task human researchers cannot perform simultaneously.
When could quantum computers threaten Bitcoin's cryptography?
Google projected that Q-Day, the point at which quantum computers can break public-key cryptography, could arrive by 2032, while other researchers have said it could happen by 2030. Some $461 billion worth of Bitcoin is said to be at risk due to exposed public keys that could be exploited by sufficiently powerful quantum computers.
