To accelerate progress and maintain a competitive lead over China, John Martinis's new company is partnering with Applied Materials. They are leveraging modern, 300mm semiconductor fabrication tools—which are restricted from China—to build next-generation quantum devices with higher quality and scalability.
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Restricting sales to China is a catastrophic mistake that creates a protected, trillion-dollar market for domestic rivals like Huawei. This funds their R&D and global expansion with monopoly profits. To win the long-term AI race, American tech must be allowed to compete everywhere.
Nobel laureate John Martinis expresses concern that China is strategically withholding its quantum computing research. He notes that Chinese labs often publish results similar to Google's shortly after Google does, suggesting they may be waiting for Western validation before revealing their own, potentially parallel or superior, progress.
Instead of crippling China, aggressive US sanctions and tech restrictions are having the opposite effect. They have forced China to accelerate its own domestic R&D and manufacturing for advanced technologies like microchips. This is creating a more powerful and self-sufficient competitor that will not be reliant on the West.
To build a new American semiconductor foundry by 2028, Substrate is rejecting the modern specialized model. Instead, it's vertically integrating by designing and building its own lithography tools. This return to the industry's roots is aimed at reducing complexity and cost, enabling them to move faster.
While headlines focus on advanced chips, China’s real leverage comes from its strategic control over less glamorous but essential upstream inputs like rare earths and magnets. It has even banned the export of magnet-making technology, creating critical, hard-to-solve bottlenecks for Western manufacturing.
The US-China tech rivalry spans four arenas: creating technology, applying it, installing infrastructure, and self-sufficiency. While the U.S. excels at creating foundational tech like AI frameworks and semiconductors, China is leading in its practical application (e.g., robotics), installing digital infrastructure globally, and achieving resource independence.
China's semiconductor strategy is not merely to reverse-engineer Western technology like ASML's. It's a well-funded "primacy race" to develop novel, AI-driven lithography systems. This approach aims to create superior, not just parallel, manufacturing capabilities to gain global economic leverage.
Nvidia CEO Jensen Huang's public stance on quantum computing shifted dramatically within months, from a 15-30 year timeline to calling it an 'inflection point' and investing billions. This rapid reversal from a key leader in parallel processing suggests a significant, non-public breakthrough or acceleration is underway in the quantum field.
A symbiotic relationship exists between AI and quantum computing, where AI is used to significantly speed up the optimization and calibration of quantum machines. By automating solutions to the critical 'noise' and error-rate problems, AI is shortening the development timeline for achieving stable, powerful quantum computers.
U.S. export controls on advanced semiconductors, intended to slow China, have instead galvanized its domestic industry. The restrictions accelerated China's existing push for self-sufficiency, forcing local companies to innovate with less advanced chips and develop their own GPU and manufacturing capabilities, diminishing the policy's long-term effectiveness.