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5 Best Quantum Computing Stocks to Buy Today

Timothy SykesAvatar
Written by Timothy Sykes
Updated 4/25/2025 15 min read

Quantum computing is no longer a concept buried in research labs — it’s starting to affect the actual stock market. Investors are watching closely as companies push to commercialize quantum bits (qubits), building systems that can outperform classical computers in solving problems related to AI, finance, encryption, and optimization. These are still early-stage plays, but the momentum is growing — and that makes them potential targets for informed traders.

The companies I’m highlighting today are directly involved in building or supporting quantum computing systems. Some are high-risk, speculative setups. Others are large-cap tech leaders with the capital to fund years of development. Either way, it’s not about hype — it’s about knowing the key players and watching for strategic setups.

Here are five quantum computing stocks I’m keeping on my radar. These aren’t recommendations — they’re research leads. The real work is in how you study them, track them, and react when the timing lines up.

Stock Ticker Sector
Quantum Computing Inc NASDAQ: QUBT Quantum Software
D-Wave Quantum Inc NYSE: QBTS Quantum Hardware
IonQ Inc NYSE: IONQ Quantum Systems
Rigetti Computing NASDAQ: RGTI Quantum Hardware
Alphabet Inc NASDAQ: GOOG AI + Cloud Services

Before you send in your orders, take note: I have NO plans to trade these stocks unless they fit my preferred setups. This is only a watchlist.

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Quantum Computing Inc. (NASDAQ: QUBT)

Quantum Computing Inc. was one of the standout runners in late 2024, climbing nearly 500%* over a 12-month span before collapsing under pressure from the same name that helped drive the boom—Nvidia. Shares dropped more than 11% on news of Nvidia’s new quantum research center, which investors fear could siphon talent and funding away from smaller players like QUBT. At the same time, the company’s Q4 earnings disappointed—revenue came in nearly 85% below expectations, and losses widened dramatically.

This stock has now returned to the same price levels it held after Jensen Huang’s original January comments—a level that acted like support before but now signals weakness. In this type of startup-heavy, investment-sensitive sector, disappointing results and competition from a tech giant like Nvidia can crush sentiment fast. I teach traders to spot these turning points not just in price, but in narrative. QUBT is still speculative, still volatile, and now stuck in a price range that reflects growing skepticism. Watch closely—this is a name that may continue to trade on sentiment more than fundamentals.

Rigetti Computing Inc. (NASDAQ: RGTI)

Rigetti has long been viewed as a leader in U.S.-based quantum development, but even that reputation didn’t protect the stock when Nvidia reignited fears about competitive dominance. Shares dropped more than 9% after Nvidia’s latest announcement, erasing a chunk of the recent rally Rigetti had built following its selection for a Department of Defense quantum program. The company still stands out thanks to its government-funded status, patent library, and partnerships with firms like Nvidia—but in financial markets, momentum matters more than reputation in the short term.

Check out RGTI’s latest moves here!

That said, I’ve taught students over the years how stocks in sectors like this—breakthrough-driven and speculative—often respond to government contracts, investor reviews, and hype more than earnings. RGTI is a high-risk play, no doubt. But its inclusion in federal initiatives, combined with its ties to CUDA-Q and cloud-computing-linked architecture, still make it a watchlist name for those who know how to trade volatility. I’m not looking to hold long-term, but if volume returns, it could set up again.

D-Wave Quantum Inc. (NYSE: QBTS)

D-Wave has always had a unique angle—it actually sells working quantum systems, even if they’re early-stage and not yet widely adopted. The stock surged over 300%* across the last 12 months but gave up nearly 20% in a single day after Nvidia’s new research center announcement. Investors are increasingly worried about Nvidia’s plans to dominate this space, especially as it sets up shop next to institutions like MIT and Harvard. If Nvidia attracts top-tier researchers, speculative players like D-Wave could find it harder to stand out.

Still, for short-term traders, these breakdowns often set the stage for the next sympathy run. 

Get the latest QBTS news here!

I’ve taught this through dozens of hot sectors over the years—when one leader bounces, the rest tend to follow. QBTS isn’t built for long-term investing yet, but it’s still relevant for smart portfolio construction focused on short bursts of performance. With so much capital chasing innovation, this ticker could pop again under the right market conditions. Set alerts, track volume, and remember—it’s not about belief, it’s about execution.

IonQ Inc. (NYSE: IONQ)

IonQ is still one of the more legitimate players in quantum computing, with revenue, top-tier partnerships, and Department of Defense support. But even that couldn’t shield it from the latest sector selloff—IONQ lost over 9% on Nvidia’s Quantum Day and is now down nearly 50% year-to-date. 

Despite the pullback, the company’s 200%* gains over the past 12 months show just how fast sentiment can shift in tech-heavy, AI-integrated sectors like this.

When I train traders on growth stocks, I always emphasize market analysis over headlines. IonQ was punished not just for Nvidia’s news, but also for getting caught in a broader rotation out of speculative names. Yet from a trading perspective, this kind of reset can be useful. Former runners with real products often become the first to bounce if the narrative shifts. Keep watching it—not because it’s “the future,” but because strong price action plus decent fundamentals can still mean opportunity. Just don’t forget how fast these names can go from outperforming to underwater. Risk management always comes first.

Alphabet Inc. (NASDAQ: GOOG)

Alphabet is a tech giant that plays a leading role in developing next-generation quantum AI systems. Google’s research division was the first to demonstrate quantum supremacy, and their ongoing partnership with Nvidia shows they’re serious about scaling these platforms. Their CUDA-Q integration links powerful simulations with existing cloud infrastructure — a strategy that makes sense for data-heavy AI models.

From a trader’s perspective, GOOG is more about timing entries around macro events or earnings — not day-trading. I’ve taught traders how to use these large-cap names to understand market trends, especially in tech-heavy indexes like the S&P 500. Alphabet has the capital, leadership, and data access to stay ahead in this sector — but don’t expect quick flips. Watch for long-term setups and use options if you want leverage with less capital.

Alphabet is a growth stock better suited to long-term portfolios than quick returns… but if you’re looking to leverage a small account in a Google trade, I’d look into the world of options, which give you the rights to trade a stock if it goes your way!

I don’t trade options—I leave it to pros like former hedge fund trader Jeff Zananiri. His Burn Notice strategy identifies the best overnight options trades out there—and his meticulous teaching style ensures you don’t miss the move.

Check out his webinar here to see how you can learn Jeff’s time-tested strategy!

* Past performance isn’t indicative of future results

Why Trade in Quantum Computing Stocks?

Quantum computing stocks give you exposure to a high-upside sector that’s still early in development. That means volatility, speculation, and the potential for fast gains — but also real risk. These companies are building products that could change finance, logistics, encryption, and AI — and Wall Street knows it. They’re being watched by analysts, hedge funds, and institutions.

I’ve traded for over 20 years, and I’ve seen emerging sectors like this move quickly when catalysts hit. That’s why I teach students not just to chase hype, but to study how these companies generate performance. Are they earning revenue? Do they have patents, partnerships, or working platforms? The answers shape how you allocate and hedge.

Trading isn’t about being early — it’s about being prepared. Quantum computing is still speculative. But when the moves come, traders who’ve been doing the research are the ones who capitalize.

Not every company in this space is worth your money. Some are legit players, others are just riding the hype. Knowing who’s who can help you avoid getting burned. Here’s a full list of quantum computing stocks to watch.

How to Choose the Best Quantum Computing Stocks

Not all quantum stocks are built the same. Some, like Alphabet or Nvidia, have diversified businesses that support R&D over time. Others, like Rigetti or IonQ, rely on equity offerings, government grants, or volatile earnings. You need to look at each company’s financials, project timeline, and leadership team to evaluate the risk.

When I help traders build watchlists, we focus on three things: volatility, catalysts, and liquidity. If a stock reacts to news, has enough volume to get in and out, and ties into broader themes like AI, it might be worth tracking. Don’t just rely on stock screeners or newsletters — learn to analyze the story and the chart together.

Quantum stocks are research-intensive, technology-driven, and unpredictable. But they can outperform if you understand how to time them. That means watching price, reading filings, and following what the Board of Directors and analysts are saying.

Picking winners in this sector means looking at more than buzzwords. You want companies with actual tech, strong partnerships, and a roadmap—not just a press release. And with quantum AI on the rise, the overlap between machine learning and quantum hardware is starting to matter. Check out this list of quantum AI stocks with potential.

Where to Buy Quantum Computing Stocks

Most of the top quantum computing stocks trade on major exchanges like the Nasdaq or NYSE. That makes them easy to access through any standard trading platform — including ones built for active traders. If you’re just starting out, I recommend a platform that gives you real-time market data, charting tools, and customizable scanners.

When it comes to trading platforms, StocksToTrade is first on my list. It’s a powerful day and swing trading platform with real-time data, dynamic charting, and a top-tier news scanner. I helped to design it, which means it has all the trading indicators, news sources, and stock screening capabilities that traders like me look for in a platform.

 

I use StocksToTrade to scan for news, tweets, earning reports, and more — all covered in its powerful news scanner. It also has a selection of add-on alerts services, so you can stay ahead of the curve.

 

Grab your 14-day StocksToTrade trial today — it’s only $7!

You don’t need a special broker to trade quantum stocks. You just need a system that supports how you analyze, monitor, and act. Use platforms that help you manage watchlists, track earnings, and time your moves. Trading is a game of preparation — not reaction.

Once you’ve found stocks worth watching, the next step is execution. If you’re just getting started, this guide breaks it down clearly. Here’s how to trade quantum computing stocks.

Key Takeaways

  • Quantum computing is a high-risk, innovation-focused sector tied closely to AI, cloud computing, and advanced simulation tools.
  • Stocks like QUBT, QBTS, IONQ, RGTI, and GOOGL offer different risk profiles — from pure plays to diversified tech leaders.
  • Traders should focus on volatility, price action, and catalysts rather than hype.
  • Long-term investors may prefer Alphabet or Microsoft, while short-term traders can monitor speculative setups in smaller-cap names.
  • A strong trading platform, risk management plan, and consistent research routine are your best tools for navigating this emerging industry.

This is a market tailor-made for traders who are prepared. Stick to your plan, manage your risk, and don’t let FOMO drive your decisions.

These opportunities are fast and unpredictable, but with the right strategy, you can make them work for you.

If you want to know what I’m looking for—check out my free webinar here!

Frequently Asked Questions

Are quantum computing stocks good for long-term trading?

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Quantum computing stocks offer potential for long-term growth, but most are still early-stage and speculative. Large-cap names like Alphabet or Microsoft may provide more stability, while smaller companies like IonQ or Rigetti carry more risk but can move faster. I teach traders to evaluate risk-reward based on goals — long-term trades still need timing, especially in volatile sectors.

How risky is trading in quantum computing stocks?

These are high-risk, high-volatility stocks. Many don’t have steady earnings or proven product-market fit. But risk is part of trading — the key is to control it. Always use a plan, protect your capital, and be ready to sell if the setup breaks. That’s what I emphasize in every live session.

More Breaking News

What industries will benefit the most from quantum computing?

Finance, healthcare, cybersecurity, and logistics are expected to see the biggest gains. Quantum systems can optimize data-heavy models, secure sensitive information, and simulate complex scenarios much faster than classical systems. As these tools get better, expect enterprise demand to increase — and for stock prices to react accordingly.

What are the main risks of investing in quantum computing ETFs?

Quantum computing ETFs offer diversification, but that doesn’t remove the risks tied to early-stage, speculative companies. Many of the holdings are high-growth and disruptive, but they often lack consistent valuation metrics or proven business models. If you’re using a stock advisor or screening for stock picks in this sector, be aware: volatility can wipe out gains quickly if you’re not managing position size.

How do I identify strong quantum computing stocks for long-term-focused investing?

Look for companies that are not just innovative but also tied to industry-transforming applications—such as cybersecurity-relevant solutions or semiconductor-based breakthroughs. Suzanne Frey and other tech executives often emphasize future-oriented strategies, which can help you spot firms with a clear roadmap. The best long-term plays often show steady accumulation by institutions and are expanding into broader markets with practical quantum computers.

Can speculative quantum stocks be part of a smart portfolio?

Yes—but they should be balanced with more established names and diversified holdings, such as technology ETFs. A speculative stock pick may offer profit potential, but without proper diversification, you’re exposed to sharp drawdowns that can derail your performance. Track technology trends and valuations closely, and remember that the smartest portfolios mix short-term trades with long-term themes.


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Author card Timothy Sykes picture

Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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