Quantum Computing Stocks: IonQ, Alphabet, and Nvidia Positioned for Growth by 2035 - News and Statistics - IndexBox
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✦ AI Summary· Claude Sonnet
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May 21, 2026 at 4:00 AM GMT-4
3 Quantum Computing Stocks to Watch in 2026
Quantum computing has not yet reached widespread adoption, but its emergence is anticipated. McKinsey & Company has projected that the quantum computing market could generate annual revenue of up to $72 billion by 2035, according to a report published on 2026-05-21. The article highlights IonQ, Alphabet, and Nvidia as three stocks positioned to benefit from this developing sector.
IonQ
A primary challenge facing quantum computing is inaccuracy. Quantum computers rely on particles for calculations, and atomic-level measurement is complicated by background noise, which introduces errors. IonQ is noted for having the most accurate technology in the field. While many competitors struggle to achieve 99.9% accuracy, IonQ has reached 99.99%. The company is developing a 256-qubit quantum computer using the same technology that produced that level of accuracy. If successful, this system could propel IonQ toward becoming a leading investment in quantum computing.
Alphabet
Alphabet is a legacy technology firm competing in quantum computing and has announced multiple breakthroughs. Unlike some rivals that must seek public market funding, Alphabet self-finances its quantum research. Should Alphabet develop a viable quantum computer, it already has infrastructure through Google Cloud to monetize it. Even if its own quantum chip does not succeed, Alphabet could fill its data centers with computers from IonQ and earn revenue by renting quantum capabilities to clients through the cloud. This makes Alphabet a low-risk investment in the space.
Nvidia
Nvidia is primarily focused on traditional computing units but acknowledges that quantum computing will influence the future. The company is taking steps to ensure its computing units are used in quantum processes. Nvidia anticipates that future computing will combine traditional and quantum methods. Such a hybrid approach would require existing computing infrastructure, which is dominated by Nvidia's graphics processing units (GPUs).
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NVDA+1.30%GOOGL+0.32%IONQ+8.32%
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