Charting the Quantum Future: How to Ride the AI Giants to Catch the Next Tech Wave?

布局量子未来,如何借道AI巨头捕捉下一波科技浪潮?
Published on: Sep 22, 2025
Author: Amy Liu

Quantum computing is regarded by researchers, publicly traded companies, and numerous investors as the core of the next wave of technological advancement. However, its development is still in the early stages. This means that pure-play quantum computing stocks like IonQ and D-Wave Quantum remain largely high-risk, speculative ventures. Some estimates suggest that large-scale practical applications may still be years away.

Nevertheless, investors don’t need to wait until quantum computing fully matures to get involved. Some tech giants, who are already leaders in existing technological trends like artificial intelligence, are also actively engaged in the quantum computing field and have become indispensable key players. Nvidia is a prime example. As a global leader in the semiconductor industry, its chips have become the cornerstone of many advanced AI data centers. Naturally, Nvidia has expanded its business into quantum computing solutions. For instance, it combines its powerful GPUs with hardware from startups like Quantum Machines to create hybrid systems like the DGX Quantum for scientific research, aimed at accelerating scientific discovery and AI learning. Simultaneously, its software platform, CUDA-Q, is dedicated to achieving compatibility with different types of quantum hardware. CEO Jensen Huang has pointed out that quantum computing is approaching an “inflection point.” Leveraging its deep expertise in AI and semiconductors, Nvidia is well-positioned to benefit continuously as the quantum industry matures. Although its stock price has already risen significantly over the past three years, it still holds growth potential amidst continued massive investment in AI by tech companies. Furthermore, areas like robotics and automation are viewed by the company as long-term “multi-trillion dollar growth opportunities.”

Microsoft also plays a significant role in the emerging quantum computing market. A recent key development for the company is the successful creation of a Majorana-based quantum processor, which Microsoft refers to as a topological superconductor. This technology aims to create more stable and faster qubits, with the goal of achieving a scale of one million qubits on a single chip. It is claimed that this could significantly shorten the time required for quantum computers to become practically useful. Additionally, as a cloud computing giant holding roughly 20% of the global market share, Microsoft’s Azure cloud platform already provides quantum computing services to researchers through partnerships with companies like IonQ and Rigetti Computing, laying a solid foundation for future market competition.

As Google’s parent company, Alphabet‘s approach to quantum computing shares similarities with Microsoft’s. It has independently developed its own quantum processor named Willow, launched in late 2024, which is reported to “exponentially reduce” error rates—a core challenge long faced in quantum computing. Meanwhile, Alphabet’s AI research company, DeepMind, collaborating with Google’s Quantum AI team, has developed a machine learning system called AlphaQubit capable of correcting quantum errors, which helps improve the accuracy of computational results. Like Microsoft, Google Cloud, as the world’s third-largest cloud provider, also offers quantum computing services, positioning it favorably for the anticipated wave of widespread quantum computing service adoption.

A significant advantage of investing in companies like Nvidia, Microsoft, and Alphabet is that investors can capture value from both current and future technological trends. These companies are already reaping continuous benefits from the ongoing AI wave. In the coming years, while they diligently develop their quantum computing technologies, they still possess immense potential to continue generating substantial returns from the field of artificial intelligence.

AI Cloud Computing Semiconductors Technology