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Quantum Computing Penny Stocks: The Newest Hot Sector

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Written by Timothy Sykes

Quantum computing stocks are some of the most explosive plays in the market right now, especially as they’re tied to the hottest sector of the past two years—artificial intelligence. Traders are piling into these low-priced stocks, betting on their potential to provide the processing power AI needs to reach the next level. With the AI boom showing no signs of slowing down, quantum computing is becoming the perfect sympathy sector to watch.

Stock TickerCompanyPerformance (YTD)
NASDAQ: QUBTQuantum Computing Inc+ 715.73%
NYSE: IONQIONQ Inc+ 195.64%
NYSE: QBTSD-Wave Quantum Inc+ 359.76%
NASDAQ: QMCOQuantum Corp+ 88.04%
NASDAQ: RGTIRigetti Computing Inc+ 245.65%

These stocks are volatile and speculative—just how we like them. They thrive on hype, news, and the possibility of future breakthroughs, creating massive opportunities for disciplined traders. And real news like Amazon’s entry into quantum computing continues to send these stocks even higher.

Here are five quantum computing penny stocks with big momentum right now and setups worth watching.

1. Quantum Computing Inc. (NASDAQ: QUBT): Riding the Quantum-AI Hype

Why It’s Hot: QUBT has been a top performer in 2024, up 715%* year-to-date. The company’s photonic chip technology has drawn massive attention, especially after its first major order was announced in November, triggering a 560%* spike. This stock is a trader’s dream with its low float and high volatility.

What to Watch: The stock is still holding up after its recent rally, with support near $6. Watch for setups like dip buys if the stock consolidates, or breakout trades if news hits. QUBT has the kind of price action that rewards preparation.

2. IONQ Inc. (NYSE: IONQ): Leading the Quantum Revolution

Why It’s Hot: IONQ has been a standout quantum stock, leveraging partnerships like its $54.5 million U.S. Air Force contract to solidify its position. Up almost 200%* this year, IONQ is at the forefront of quantum computing innovation, which traders love to speculate on.

What to Watch: The stock is trading in a clear range between $30 support and $37 resistance. With momentum on its side, IONQ could offer opportunities for both dip buys and breakout trades. Keep an eye on catalysts like new deals or tech announcements.

More Breaking News

3. D-Wave Quantum Inc. (NYSE: QBTS): Pioneering Qubit Development

Why It’s Hot: QBTS broke past $2 resistance in November after completing calibration on its 4,400+ qubit Advantage2 processor. The stock is now riding a wave of speculative interest in quantum technology, making it a favorite among traders chasing volatility.

What to Watch: Look for multi-day continuation setups. QBTS often sees weekend gaps and Monday follow-ups, making it perfect for my weekend trade pattern. Resistance near $4 could be the next breakout level to watch.

4. Quantum Corp. (NASDAQ: QMCO): The AI Cybersecurity Quantum Stock

Why It’s Hot: QMCO is innovating at the intersection of AI and cybersecurity, launching its DXi9000 to combat AI-powered cyber threats. The announcement sent the stock spiking 1,000%* in November, and its low float of just 4.6 million shares keeps it primed for more volatility.

What to Watch: Consolidation after November’s breakout means this stock is still in play. As cybersecurity becomes increasingly vital for AI-driven systems, QMCO’s quantum-enabled solutions could drive fresh momentum.

5. Rigetti Computing Inc. (NASDAQ: RGTI): The Institutional Confidence Play

Why It’s Hot: RGTI raised $100 million in a bullish stock offering, securing major institutional backing. The move sent the stock 90%* higher in a single session, breaking past multi-month resistance at $2.

What to Watch: With support now established at $2, RGTI’s latest move through $3 resistance could lay the groundwork for an even bigger breakout. The company’s improved financial metrics, including narrower losses, make it an interesting play in a hot sector.

*Past performance does not indicate future results

Why Quantum Computing Stocks Are Surging

AI has created massive demand for computing power, and quantum technology could be the solution. While most of the connection between quantum computing and AI is theoretical, that hasn’t stopped traders from speculating on its potential. Quantum hardware could eventually speed up AI model training, making this sector a key piece of AI’s future.

For now, quantum computing penny stocks are thriving on news, partnerships, and pure momentum. They’re not long-term investments—they’re short-term trading plays with big potential for sharp moves.

The Bottom Line

These quantum computing penny stocks are the newest opportunities for traders looking to ride the AI boom. Their volatility and speculative nature make them perfect for short-term trading, but they require discipline and preparation.

Stay on top of the latest news with my NO-COST WEEKLY WATCHLIST!

If you’re trading these stocks, focus on setups, manage your risk, and don’t chase spikes. The AI-quantum connection is still developing, but for now, these stocks are delivering the price action we love.

What’s your trading plan for quantum computing stocks? Let me know in the comments!


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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”