Four Ways to Invest in Quantum Computing
Quantum computing stocks offer exposure to mind-boggling problem-solving potential. Here are four ways investors can gain exposure to an emerging megatrend.


In early December, Google introduced a quantum computing chip, Willow, that engineers used to solve the hardest benchmark in the field.
A post on the Alphabet (GOOGL) subsidiary's blog explains the significance of the achievement:
"Willow's performance on this benchmark is astonishing: It performed a computation in under five minutes that would take one of today's fastest supercomputers ... 10 septillion years. If you want to write it out, it's 10,000,000,000,000,000,000,000,000 years. This mind-boggling number exceeds known timescales in physics and vastly exceeds the age of the universe."
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The announcement sent Alphabet stock soaring, with GOOGL finishing up more than 5% on December 10. It also ignited a massive rally for quantum computing stocks.
That initial rally has cooled, but quantum computing stocks will continue to attract interest from investors. Here, we take a closer look at the developing technology and how to invest in quantum computing stocks.
What is quantum computing?
Traditional computers encode information as 0s and 1s, essentially operating as an intricate network of on and off switches. This simple yet elegant binary design has powered decades of innovation and progress.
Quantum computing flips this model entirely. It steps into the fascinating, albeit spooky, world of quantum mechanics. Quantum computers use qubits, which can actually exist in multiple states simultaneously. This is known as "superposition."
"When qubits are entangled, what happens to one affects the others, even if they're separated," writes Mabel Oza, an adjunct professor at the University of Illinois at Chicago for blockchain and cryptocurrency and the founder of ChaChing Social. "This interconnectedness is key to the power of quantum computers."
The potential of quantum computing is enormous.
"Getting to large-scale quantum computing will enable the world to solve its biggest problems in minutes – in the time it would take today’s supercomputers to do in millions of years," said Karthee Madasamy, founder and managing partner at MFV Partners, founder and managing partner at MFV Partners. "That could create $850 billion in economic value by 2040."
As for investment opportunities, there are different ways to play quantum computing. One is to focus on big-cap technology stocks like Google, Nvidia (NVDA), Microsoft (MSFT) and IBM (IBM). But the impact of quantum computing technology on their income statements and balance sheets may be muted because they have other large revenue streams.
There are emerging pure-play companies in the category, including some that are publicly traded.
Let's take a look at three of them.
Rigetti Computing
Founded in 2013, Rigetti Computing (RGTI) has deployed 17 quantum computing systems. Rigetti uses cutting-edge techniques such as alternating-bias assisted annealing and multiple processors that provide high levels of accuracy.
This is the result of heavy investments in R&D. Among its 140 employees, 49 hold Ph.D.s. Rigetti has also amassed a portfolio of 237 issued and pending patents for quantum engineering, fabrication and algorithms
Last December, Rigetti announced its 84-qubit Ankaa-3 system achieved a median two-qubit gate (2QG) fidelity of 99.5%.
"This measures how accurate a quantum computer is by testing the performance of a two-qubit gate under different conditions," Professor Oza notes. "It's a key operation in quantum computing and is essential for connecting qubits and enabling complex calculations."
Rigetti reported second-quarter revenue of $1.8 million, down from $3.1 million a year ago, as its net loss expanded to $39.7 million from $12.4 million.
Management also announced that what it calls the industry's largest multi-chip quantum computer, the Cepheus-1-36Q, has been released for general availability on its cloud platform and will soon be accessible via Microsoft (MSFT) Azure.
As of June 30, Rigetti had cash, cash equivalents and available-for-sale investments of $571.6 million.
IonQ
After more than two decades in the academic world, Chris Monroe and Jungsang Kim cofounded IonQ (IONQ) in 2015.
Monroe and Jungsang licensed critical technology from the University of Maryland and Duke University. The co-founders also went on to raise capital from New Enterprise Associates, Google, Amazon.com (AMZN) and Samsung Electronics.
IonQ has built an impressive IP (intellectual property) portfolio and now controls more than 600 U.S. and international issued and pending patents.
The focus on R&D has certainly paid off. In September, IonQ announced its next-generation system, which achieved a 2QG fidelity level of 99.9%. The company says it will get to 99.999% by the end of 2025.
As a sign of IonQ's strength, the company has been able to snag a variety of key partnerships, including deals with AstraZeneca (AZN), ANSYS (ANSS) and the United States Air Force Research Lab.
In August, IonQ said its second-quarter revenue beat its top-end guidance by nearly 15%, rising to $20.7 million from $11.7 million a year ago.
Management also expects its $1.075 billion acquisition of Oxford Ionic to close this year. According to IonQ's press release, the acquisition will combine its tech stack with Oxford Ionics' "groundbreaking" ion-trap technology manufactured on standard semiconductors.
Even after the transaction there's more than $140 million in cash on IonQ's balance sheet.
D-Wave Quantum
D-Wave Quantum (QBTS) got its start back in 1999. The company's co-founders from the University of British Columbia saw a need for innovation with qubit designs.
Getting to commercialization has certainly taken some time. Then again, the industry has only gained traction with customers in recent years.
"One of the most positive trends we're seeing at D-Wave is the growing number of customers moving applications into production," said CEO Dr. Alan Baratz. "Because we offer annealing quantum computing, a type of quantum computing that is uniquely suited for solving complex optimization problems and is commercial-grade now, our customers are realizing value from the technology today."
Customers are seeing considerable benefits. In a pilot test with Japan's largest mobile phone operator, NTT DOCOMO, D-Wave's systems reduced paging signals during peak calling times by 15%.
D-Wave reported second-quarter year-over-year revenue growth of 42% and a corresponding 42% rise in profit margin. The company also boasts its highest cash balance ever at more than $800 million.
Is there an ETF for quantum computing?
In his keynote address at CES 2025 in January, Nvidia CEO Jensen Huang said that effective quantum computers wouldn't hit the market until 15 to 30 years from now, sparking a sell-off in quantum computing stocks.
Huang more recently apologized for those comments and invited several CEOs of quantum computing firms to Nvidia's first-ever "Quantum Day" at its annual GTC conference.
And in late March, Julian Kelly, Google Quantum AI's director of hardware, gave his timeline for quantum computing, saying practical applications of the technology are roughly five years out.
For investors, the bottom line is to remain cautious, as quantum computing stocks have proven themselves to be highly volatile. If you choose to invest in the developing industry, make sure to do so with money you can afford to lose.
For those who are more risk-averse but still curious, there is an exchange-traded fund for quantum computing: the Defiance Quantum ETF (QTUM).
Top holdings include Rigetti and D-Wave, as well as some large-cap stocks such as Palantir Technologies (PLTR) and Intel (INTC).
You can learn more about QTUM at the Defiance ETFs provider site.
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Tom Taulli has been developing software since the 1980s when he was in high school. He sold his applications to a variety of publications. In college, he started his first company, which focused on the development of e-learning systems. He would go on to create other companies as well, including Hypermart.net that was sold to InfoSpace in 1996. Along the way, Tom has written columns for online publications such as Bloomberg, Forbes, Barron's and Kiplinger. He has also written a variety of books, including Artificial Intelligence Basics: A Non-Technical Introduction. He can be reached on Twitter at @ttaulli.
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