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Nvidia and Alphabet Are Leading the Quantum Computing AI Race. But Are They a Buy?

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For the past few months, quantum computing stocks such as IonQ, Rigetti Computing, and D-Wave Quantum have garnered a lot of attention and witnessed pronounced run-ups in their share prices. The momentum each of these stocks is experiencing certainly makes the idea of quantum computing a tempting investment opportunity.

But as I’ve expressed previously, I’d caution from following the crowd when it comes to mainstream quantum computing stocks. Instead, I’d suggest turning to big tech — and in particular, Nvidia (NASDAQ: NVDA) and Alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL).

Isn’t Nvidia just a chip company? And isn’t Alphabet just an advertising behemoth? Believe it or not, both of these “Magnificent Seven” members are leading the charge in the quantum computing movement behind the scenes.

Let’s explore how Nvidia and Alphabet are playing a role in quantum computing and assess if either of these stocks are good buying opportunities right now.

Nvidia specializes in designing chipsets known as graphics processing units (GPUs). GPUs are the hardware that process algorithms and sophisticated computations that help train generative AI applications, such as large language models and machine learning protocols.

However, one aspect of Nvidia’s business that is unique is its tight integration between hardware and software. The company also offers a software suite called Compute Unified Device Architecture (CUDA), which layers on top of Nvidia’s hardware stack.

Within the CUDA ecosystem, Nvidia offers a tangential platform known as CUDA-Q that focuses specifically on quantum computing development. CUDA-Q is marketed as a “unified programming model.” In simple terms, the CUDA-Q architecture allows for seamless integration between GPUs, central processing units (CPUs), and quantum processing units (QPUs), all in a singular platform.

Recently, the company announced that Google is leveraging CUDA-Q and H100 GPUs to power simulations that will help in designing the search giant’s quantum computer. To me, the subtle idea here is that Nvidia continues to unlock opportunities for becoming both the primary hardware and software provider for major corporations, and their various explorations of AI products and services.

Quantum computing qubits floating around.
Image source: Getty Images.

Although Nvidia remains the dominant force in semiconductors, it’s important to note that many hyperscalers including Alphabet have been exploring developing their own chipware.

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