The article identifies quantum computing as a high-risk, high-reward investment frontier, highlighting pure-play companies IonQ, Rigetti Computing, and D-Wave Quantum as speculative opportunities for outsized returns akin to early AI investments. These firms employ distinct technological approaches—trapped-ion, superconducting, and quantum annealing—with the potential for 100x growth, which would necessitate multi-trillion dollar market caps, despite significant technological uncertainty and the risk of total loss. Investors are advised to limit portfolio allocation to these highly volatile stocks, suggesting no more than 1% spread across the three to balance potential upside with substantial downside risk.
There have been several successful investments in the AI realm that have made investors millionaires over the long run. Take the king of AI computing, Nvidia. A $10,000 investment in Nvidia a decade ago is now worth around $3 million, easily accomplishing the goal of turning a modest investment into $1 million. While there is still huge growth in the AI realm, many investors are turning toward quantum computing as the next big industry. I've got a list of three stocks that could make investors a millionaire, although there's no guarantee, as quantum computing is a highly competitive realm with unknown feasibility. The contenders have differing approaches to quantum computing Three stocks that I think are solid candidates to make investors $1 million are IonQ(NYSE: IONQ), Rigetti Computing (NASDAQ: RGTI), and D-Wave Quantum(NYSE: QBTS). These are some of the top quantum computing pure plays, which are a requirement to make the return levels being discussed here. While legacy tech companies like Alphabet and IBM are competing in the quantum computing space, they're already too large to transform a modest investment into $1 million. For the legacy tech companies, the upside isn't there. But the floor is much higher. If both companies' quantum computing investments flop, they still have a base business to fall back on. If IonQ, Rigetti Computing, or D-Wave Quantum fail, their stocks will go to zero. This makes the cohort risky, but could provide huge returns as a result. All three of these quantum computing competitors are taking a different approach to quantum computing. IonQ is using a trapped-ion approach, which can be performed at room temperature and provides leading calculation accuracy. Rigetti Computing is using the more popular superconducting technique, which requires cooling a particle down to near absolute zero. This is the technique that most major players in the quantum computing space are taking, as it provides superior processing speeds. Lastly, D-Wave quantum isn't trying to build a broad-purpose quantum computer like IonQ or Rigetti is. Instead, it's developing a quantum annealing computer that excels in optimization problems. Considering that AI models and logistics networks are two possible applications for this technology and are expected to drive a lot of the demand in this industry, D-Wave's approach may be a winning one. It's impossible to know which one of these techniques pans out, or if any of them will. That's why quantum computing investing is so risky, and investors must take proper precautions in this space. With risky picks like IonQ, Rigetti Computing, or D-Wave, investors should devote no more than 1% of portfolio allocations to these stocks. That way, if they do go to $0, they won't affect your overall profit a lot. But that 1% investment can provide huge returns if it can duplicate the decade-long performance of a stock like Nvidia. Each company must transform into a tech giant to make investors millionaires If each stock transformed a $10,000 investment into $1 million, it would need to provide 100x returns. That means IonQ would be a $1.8 trillion company a decade from now if it were to provide that level of returns. Rigetti would be a $965 billion business, and D-Wave Quantum would be a $845 billion company. This would place these three among the largest companies in the world, which seems like a tall task. However, nobody expected Nvidia to become the largest company in the world a decade ago, so this may not be as outlandish as it appears. It's impossible to know if any of these stocks will be a millionaire-maker or worth anything at all a decade from now. However, there's likely a huge application for quantum computing available. This makes these stocks intriguing and will likely contribute to them rising more in the future. Time will tell if these initial gains will stick or are just hype, but with a meager investment in all three of these stocks, investors can capitalize on the upside while limiting downside risk by spreading their money across three quantum computing investments. Should you invest $1,000 in IonQ right now? Before you buy stock in IonQ, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and IonQ wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $621,976! Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,150,085! Now, it’s worth noting Stock Advisor’s total average return is 1,058% — a market-crushing outperformance compared to 191% for the S&P 500. Don’t miss out on the latest top 10 list, available when you join Stock Advisor. Keithen Drury has positions in Alphabet and Nvidia. The Motley Fool has positions in and recommends Alphabet, International Business Machines, and Nvidia. The Motley Fool has a disclosure policy. The article frames quantum computing as a high-risk, high-reward investment frontier, drawing parallels to the early-stage growth of AI leaders like Nvidia. It focuses on three pure-play companies—IonQ (IONQ), Rigetti Computing (RGTI), and D-Wave Quantum (QBTS)—as speculative vehicles for potentially exponential returns. Each firm employs a distinct technological approach: IonQ uses a trapped-ion method noted for accuracy at room temperature; Rigetti utilizes the more common superconducting technique for faster processing; and D-Wave specializes in quantum annealing for optimization problems, a niche that could align well with demand from AI and logistics. The central thesis is predicated on a significant binary risk profile; unlike diversified tech giants such as Alphabet or IBM, failure of the core technology for these pure-plays would likely result in total stock value loss. The potential for a 100x return is contextualized by the required future valuations, which would place these firms among the largest in the world, with IonQ needing to reach a $1.8 trillion market cap. The overall sentiment is uncertain, underscoring that it is impossible to predict which technology will prevail, a point reinforced by the note that IonQ, despite its potential, was not selected for a separate analyst's top-10 buy list.
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