To The Moon

NVIDIA's launch of the world's first open-source AI model family for quantum computing, Ising, has directly ignited quantum computing concept stocks in Asian markets, with related stocks in China, South Korea, and Japan hitting daily upper limits of up to 30%.

On Tuesday, NVIDIA officially released the Ising model, which is designed to address two core bottlenecks hindering the practical application of quantum computing: quantum processor calibration and quantum error correction decoding. Following the announcement, Asia-Pacific technology stocks reacted immediately, with quantum computing-related concept stocks becoming the leading gainers.

Boosted by the news, South Korean companies Axgate and ICTK saw their shares hit the 30% daily upper limit. In China, Quantumctek Co.,Ltd. and Keda Guochuang, along with Japan's Fixstars, saw gains exceeding 8%. The broader Asia-Pacific tech sector rebounded on the same day, with easing tensions in the Middle East providing additional support to market sentiment. Notably, this rally was primarily concentrated in quantum concept stocks within sectors like software, information technology, and cybersecurity, rather than quantum hardware manufacturers themselves.

**NVIDIA Bets on AI-Quantum Fusion**

The newly launched Ising is the first open-source AI model family built on NVIDIA's CUDA-Q quantum development platform. It comprises two customizable models specifically designed for quantum processor calibration and quantum error correction decoding.

Jensen Huang has positioned Ising as the "control plane" and "operating system" for quantum machines, believing that AI is a critical pathway to scaling quantum computing applications.

Releasing Ising as open-source means researchers and companies can directly build upon it for custom development without relying on closed platforms. The name is derived from the Ising model in physics—a classic mathematical framework that significantly simplified the understanding of complex physical systems. NVIDIA chose this name to emphasize its core value proposition in simplifying the control layer of quantum systems.

**Dual Improvements in Decoding Speed and Accuracy**

Qubits are highly susceptible to external interference, with current quantum processors generating an error approximately every thousand operations.

NVIDIA stated that for quantum computing to become truly practical, this error rate needs to be compressed to just one error per trillion operations—a core engineering challenge blocking the commercialization of quantum computing.

According to data disclosed by NVIDIA, the Ising model can achieve up to a 2.5x speed improvement and a 3x accuracy improvement in the error correction decoding process. The Ising Calibration model is 15x smaller than comparable solutions, and the Ising Decoding model requires 10x less training data. This combination of parameters suggests a lower deployment barrier and a faster path to practical application.

Currently, institutions including Fermi National Accelerator Laboratory, Harvard University, Lawrence Berkeley National Laboratory, and quantum technology firms such as Infleqtion and IQM Quantum Computers have announced their adoption of the model.

**Commercialization Remains a Distant Prospect**

Despite the heated market sentiment, institutional views remain cautious. Robert Lea, an analyst at Bloomberg Intelligence, commented, "While these tools are expected to accelerate related progress, practical, large-scale quantum computing is still a long way from actual realization."

This assessment aligns with the current state of the quantum computing industry: challenges at the hardware level, such as qubit stability, error correction overhead, and system integration complexity, mean the field will primarily focus on technological accumulation in the short term, with a relatively long commercial return cycle. For the related concept stocks experiencing a speculative surge, the gap between fundamental support and sentiment-driven momentum is a risk that investors need to carefully evaluate.

**Market Scale: Projected to Exceed $100 Billion by 2030**

According to predictions from Stratistics Market Research Consulting, the global quantum computing market size is expected to jump from approximately $1.7 billion in 2024 to over $11 billion by 2030. This growth is highly dependent on continuous breakthroughs in core engineering challenges like quantum error correction and scalability—precisely the areas targeted by NVIDIA's latest strategic move.

For investors, the release of Ising further enriches NVIDIA's long-term growth narrative beyond AI infrastructure and clarifies its strategic positioning in the emerging quantum computing arena. However, significant engineering challenges remain between model release and industrial adoption. Whether the short-term surge in quantum computing concept stocks can be sustained by fundamental support remains to be seen.