When You Look Back in 10 Years, You’ll Wish You’d Bought This Magnificent Quantum Computing Stock (Hint: It’s Not IonQ)

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  • Over the past year, IonQ and other smaller businesses have emerged as popular quantum computing stocks.

  • However, these companies are now mostly trading at lofty valuations supported by hype narratives.

  • Nvidia is quietly positioning its hardware and software ecosystem to be at the forefront of quantum computing.

  • 10 stocks we like better than Nvidia ›

Quantum computing is swiftly becoming one of the hottest new themes fueling the artificial intelligence (AI) revolution. Over the last year, companies such as IonQ, Rigetti Computing, D-Wave Quantum, and Quantum Computing Inc. have emerged as exciting opportunities seeking to make a splash in the quantum computing realm.

While IonQ and its peers are pursuing unique approaches to quantum computing, none has yet achieved the critical mass needed to suggest their products and services are truly disruptive at this stage. In the background, however, semiconductor powerhouse Nvidia (NASDAQ: NVDA) has been quietly making inroads in the quantum computing arena.

Let’s explore how Nvidia stands to benefit from quantum computing and assess why the stock looks like a no-brainer buy for investors with a long-term time horizon right now.

In addition to its industry-leading chip empire, Nvidia has also built a budding software platform known as CUDA. CUDA serves as the software backbone for Nvidia’s overall tech stack. In essence, software developers can run AI applications on CUDA and run these programs on top of Nvidia’s hardware.

The combination of CUDA and graphics processing units (GPUs) has kept customers extremely sticky within the Nvidia ecosystem — essentially providing the company with an ability to own both the software and hardware aspects of AI development.

As quantum computing continues to gain momentum, Nvidia is naturally looking to position itself at the forefront of this new movement. More specifically, the company offers an extension of the CUDA platform known as CUDA-Q, which is geared toward applications across both traditional computing and quantum processing.

The big idea here is that much like CUDA has become a foundational layer for modern AI development, CUDA-Q could serve as an essential layer for quantum computing — once again positioning Nvidia as a central source across both hardware and software and strengthening the company’s technological moat.

A digital square with the phrase Quantum Computing in it.
Image source: Getty Images.

A common mistake investors make is viewing valuation through the lens of a company’s stock price. Seasoned investors understand that share price is simply one variable in determining the value of a business.

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