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5 Best Quantum AI Stocks to Buy in 2025

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

Quantum AI is one of the most talked-about tech trends heading into 2025. It combines artificial intelligence and quantum computing to solve problems too complex for traditional systems. Big companies are racing to build this future—while traders are hunting for stocks that offer volatility, liquidity, and the potential for big moves.

Get my up-to-date watchlist of AI penny stocks here!

The names on this list aren’t hype. They’re real companies with active partnerships, working products, and revenue in the pipeline. Some are safe bets for long-term investors. Others are fast movers that traders should track closely. If you’ve followed my teaching over the years, you’ll know that being early and prepared matters more than being loud.

Company Ticker Focus
Microsoft MSFT Software, Cloud, Quantum Research
Alphabet GOOG Quantum AI Systems, Cloud Computing
IBM IBM Quantum Hardware and Enterprise AI
IonQ IONQ Pure-Play Quantum Systems
Rigetti Computing RGTI Quantum Hardware and Algorithms

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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Microsoft (NASDAQ: MSFT)

Microsoft is building one of the most advanced and long-term-focused quantum AI platforms in the market. It’s developing its own quantum chip architecture and embedding quantum simulations into Azure. The company’s goal is to offer end-to-end solutions that integrate quantum mechanics, AI, and cloud services—without relying on outside vendors.

MSFT is a large-cap stock that moves slower than most speculative plays, but it’s packed with potential. In my experience, the best traders know how to monitor these enterprise-ready stocks for inflection points based on product releases and partnerships. Microsoft’s position at the intersection of software, AI tools, and government-funded quantum research puts it on every serious watchlist in this space.

Its Board of Directors continues to push investment in cutting-edge tech. If you’re building a portfolio with technology-focused growth stocks, this is one to evaluate closely. Look for performance updates from Azure Quantum and press releases about academic collaborations.

Microsoft 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 Microsoft 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 helps ensure you don’t miss the move.

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

Alphabet (NASDAQ: GOOG)

Alphabet has been a consistent force in quantum computing innovation since it first achieved quantum supremacy in 2019. Its CUDA-Q partnership with Nvidia is accelerating simulations, giving it an advantage in algorithmically driven cloud services. The company is using quantum-enhanced systems to train AI models more efficiently, which means better results across its platforms and products.

Alphabet isn’t a small-cap flier. It’s a heavyweight on the S&P 500 and often sets the tone for the tech sector. I’ve shown students how to analyze GOOG price action in line with innovation cycles, and it consistently follows measurable patterns around earnings, news, and sector momentum.

For traders with a high-speed, news-sensitive strategy, Alphabet isn’t typically a fast mover. But for those who know how to hedge, scale, or accumulate shares, it offers long-term value with breakthrough potential. Monitor updates on error correction advancements and real-time use cases in cloud-integrated quantum systems.

More Breaking News

IBM (NYSE: IBM)

IBM has quietly become one of the most influential players in quantum hardware, with one of the largest public quantum computers running today. It focuses on practical applications—like solving optimization problems in logistics and financial modeling. Through its IBM Quantum Network, it’s opened access to hundreds of companies, researchers, and institutions.

What makes IBM stand out is that it’s not just building theoretical tools. It’s commercializing them. That’s the kind of structure I teach my students to pay attention to—solid foundations with room for expansion. It’s AI-integrated, government-backed, and continues to make progress in quantum software and enterprise deployment.

While IBM doesn’t offer the same short-term pop as smaller tech stocks, it brings reliability and diversification to a tech-heavy portfolio. Watch for growth in service revenue tied to its quantum and AI offerings. These developments are often buried in press releases or conference calls—dig for them if you want to stay ahead.

IonQ (NYSE: IONQ)

IonQ is a pure-play quantum computing stock using trapped-ion technology to build functional quantum machines. It’s already working with names like Amazon and Microsoft, and its systems are operational on major cloud platforms. From a trader’s perspective, IonQ is one of the most volatile quantum names out there—perfect for momentum setups and sympathy moves.

Here’s my deep-dive on whether IONQ is a good stock to buy.

IONQ often reacts to Nvidia and Microsoft announcements. That makes it a sector leader when the group moves, and I’ve taught traders how to identify that setup in real time. It’s also a strong candidate for sympathy plays off positive earnings or government program headlines.

The company still faces challenges: it’s high-risk, growth-oriented, and research-intensive. But if you know how to manage position sizing and set clear entry and exit rules, these are the kinds of opportunities that can deliver big. Monitor quarterly guidance and funding updates closely—they’ll tell you where this stock wants to go next.

Rigetti Computing (NASDAQ: RGTI)

Rigetti is another pure-play quantum stock, with a focus on hybrid quantum-classical algorithms. It’s building real systems and recently partnered with Nvidia for platform development. RGTI has a track record of sharp price moves around news—something I’ve taught my students to spot using chart-based patterns and volume shifts.

Check out RGTI’s latest moves here!

It’s still a startup-heavy company, meaning there’s limited visibility on revenue, and its valuation fluctuates hard. But that volatility is exactly what makes it tradable. I’ve traded past spikes on this stock and used them as real-time examples in my webinars, breaking down why the move happened and how to manage risk.

Traders should keep RGTI on their watchlists—especially around earnings or government-related news. It’s a speculative stock, but it’s also an industry-transforming one. And when the quantum sector heats up, Rigetti tends to be one of the first to run.

How to Choose the Right Quantum AI Stock

Choosing a quantum AI stock starts with understanding that not all companies in this space are created equal. Some are focused on building quantum computers themselves, while others are integrating quantum methods into AI-driven tools or providing cloud computing access to quantum capabilities. You’ll see companies like Nvidia and Alphabet investing in infrastructure and research, while smaller pure-play stocks like IonQ or Rigetti are betting the business on hitting key development milestones.

I teach traders to evaluate not just the story, but the execution—especially in emerging sectors. Look at the data, team quality, and strategic alignment. If you’re managing your own portfolio, filter stocks by financial performance, capital access, analyst ratings, and current momentum based on relevant news or earnings surprises. Tools like stock advisor platforms or options-based screeners can also help identify potential trades based on volatility or patterns.

The money flows to names that can demonstrate actual results, not just buzzwords. Analyze how businesses use their capital, how they communicate timelines, and whether insiders are buying or selling shares. In markets like this—where speculation is common—risk control and good research separate real gains from dangerous hype.

Choosing the right stock in a tech-heavy space like quantum AI means looking past the hype. Some companies have the tech, some have the funding, and a few have both. Watch for stocks with real partnerships, product development, and revenue growth. If you’re just starting or want to compare top names, this list breaks down the key players in quantum computing. Check out the best quantum computing stocks here.

What Is the Market Potential for Quantum AI?

Quantum AI stocks have gone from niche trades to serious watchlist candidates thanks to growing attention from institutions, analysts, and government-backed programs. We’ve already seen moves in companies like D-Wave and Rigetti after announcements tied to the Department of Defense and Nvidia’s high-profile conferences. As quantum computers become more capable, and as AI needs more computational power, the opportunity widens—especially in data-heavy sectors like finance, biotech, and logistics.

In my years of teaching traders how to spot momentum early, I’ve seen how market cycles reward those who can identify where capital is flowing. With quantum AI, it’s not just about performance now—it’s about predictive advantage, algorithmic learning, and energy-efficient scalability. These are the themes that will shape how tech investors allocate funds in the coming years.

That said, the market is still speculative. Companies are competing for attention, funding, and contracts. But if you know how to analyze growth sectors and manage volatility, this is one of the few areas where traders can still get outsized returns from disciplined setups.

For now, this sector is for trading, and home to some of the most volatile penny stocks in the market! These lower-priced stocks won’t be for everyone, but they’re part of the story. If you want to see what’s out there beyond the big names, this list of quantum penny stocks is worth a look.

Should I Buy Quantum AI Stocks?

That depends on your trading goals, risk tolerance, and how well you’ve prepared. Quantum AI is still early, but some of the stocks—like IonQ or D-Wave—have already shown what a momentum wave looks like. These are not long-established dividend plays—they’re volatile, high-upside names that need a clear strategy.

What I’ve taught my students for years is this: don’t just buy a sector because it sounds futuristic. Look at the catalysts, the execution, and the behavior of the stock after news events. Know where your stop is before you enter.

Investing in quantum computing stocks isn’t about guessing which company will win—it’s about managing risk while taking advantage of short-term price movement. Whether it’s through common shares, options, or broader ETFs, your edge will always come from preparation and execution.

Where Can I Buy Quantum AI Stocks?

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Most publicly traded quantum AI stocks are listed on major U.S. exchanges like the NASDAQ and NYSE. That includes names like IonQ, Rigetti, and D-Wave, which can be accessed through any standard brokerage account. If you’re new to the market, make sure your platform gives you access to real-time data, options tools, and alerts so you can stay ahead of key moves.

I use StocksToTrade to monitor news, price action, and chart setups—and I teach my students to do the same. It helps identify trades that align with specific patterns I’ve relied on for two decades. 

StocksToTrade is 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!

Wherever you choose to buy, remember that accessibility is only half the equation. The other half is knowing what you’re looking for—understanding the metrics, following the news, and managing your risk.

Key Takeaways

  • Quantum AI stocks combine two powerful technologies: quantum computing and artificial intelligence.
  • Big names like Microsoft, Alphabet, and IBM lead the sector, while smaller players like IonQ and Rigetti offer trading opportunities.
  • Volatility is high, but so is the upside—if you manage your positions and focus on real catalysts.

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

Is Quantum AI Stock Highly Volatile?

Yes, quantum AI stocks tend to be highly volatile due to their speculative nature and the still-developing technology they represent. These companies deal with devices and systems based on qubits and deep-learning optimized algorithms, making price movements highly sensitive to new information, government funding, or leadership statements—like those from Jensen Huang. In my years teaching traders to read sector momentum and technical setups, I always emphasize that volatility can offer opportunity, but only when paired with disciplined execution and solid analysis.

Are There Any ETFs Focused on Quantum AI Stocks?

There aren’t many ETFs that focus exclusively on quantum AI, but a few investment-oriented and technology-focused funds include exposure to companies working in this space. These ETFs often hold shares of NVDA, Alphabet, and Microsoft—firms that are innovating at the intersection of quantum mechanics and machine learning. For new traders building out future-forward portfolios, I recommend reviewing fund disclosures carefully to make sure the content matches your intent before committing capital.

How Do Quantum AI Stocks Compare to Traditional AI Stocks?

Quantum AI stocks are more computationally advanced and disruptive, but they generally lack the revenue and scale of traditional AI companies. They rely on emerging applications in quantum computing and cloud computing, whereas traditional AI stocks are already embedded in the financial sector, enterprise services, and consumer platforms. From my perspective, comparing the two is less about choosing a side and more about categorizing which fits your strategy—are you looking to speculate or optimize returns across a diversified setup?

What Kind of Returns Should I Expect From Quantum AI Stocks?

Returns on these stocks are unpredictable and should be viewed through a speculative lens. While some companies have posted impressive gains over the past year, those numbers came with major drawdowns along the way. I tell my students to study both the upside potential and the downside risks, and to never use credit cards or loans to chase positions in sectors with unclear valuations and high execution risk.

How Do I Analyze a Quantum AI Company Before Trading?

Start by evaluating the company’s device roadmap, partnerships, and revenue model. Look into whether they are optimizing or automating through scalable, AI-integrated platforms, and if their milestones are aligned with analyst opinions and real-world adoption timelines. I’ve taught thousands of traders how to sort hype from substance—always compare reviews, check disclosure policies, and weigh the rights and risks before hitting the buy button.

Should I Diversify Into Quantum AI Stocks or Focus on a Few Plays?

If you’re building a data-intensive or investment-oriented portfolio, diversification can help hedge against the individual issues these startups face. Quantum AI is a niche, and while it’s rich with potential, the world isn’t there yet in terms of widespread adoption. I’ve seen traders lose big by going all-in on one ticker, so I recommend spreading exposure across categories and tracking both traditional and innovative players to balance your risk and performance.



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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 .

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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”