For years, quantum computing sat in the same category as nuclear fusion. It was always promising, always fascinating, and always just far enough away that investors could safely ignore it. That perception began to shift in a meaningful way over the past year, and much of that shift can be traced back to comments from Jensen Huang, the CEO of Nvidia (NVDA).
In January 2025, Huang poured cold water on the space, suggesting that truly useful quantum computers could still be decades away. The market reacted immediately, with shares of IonQ (IONQ), Rigetti Computing (RGTI), and D-Wave Quantum (QBTS) pulling back sharply. Then, within months, Huang changed his tone. By June 2025, Jensen Huang voiced a different tune for quantum computing:
“Quantum computing is reaching an inflection point... We are within reach of being able to apply quantum computing, quantum classical computing, in areas that can solve some interesting problems in the coming years.” - Jensen Huang, CEO of Nvidia, in his keynote address at GTC Paris on June 11, 2025
That reversal was not just a shift in messaging. It reflected real progress taking place across the industry.
What Quantum Computing Actually Does
To understand why this shift matters, it helps to simplify the concept.
Traditional computers process information in bits, which are either zero or one. Quantum computers use qubits, which can exist in multiple states at the same time. This allows them to evaluate many possible outcomes simultaneously rather than one at a time.
The Maze Analogy
Imagine you have a large, complicated maze and your goal is to find the exit.
With a traditional computer, it’s like sending one mouse into the maze. That mouse starts at the entrance and tries one path at a time. If it hits a dead end, it backtracks and tries another route. Eventually, it may find the exit, but it has to explore each possibility step by step. The bigger and more complex the maze, the longer this process takes.
Now picture how a quantum computer approaches the same problem.
Instead of sending one mouse, it’s like sending multiple mice into the maze at once, each starting from a different location or exploring different paths simultaneously. Rather than testing one route after another, the system is effectively evaluating many possibilities at the same time. This dramatically increases the chances of finding the exit faster, especially in very complex mazes.
There’s one important nuance, though. Quantum computing is not just about brute force or throwing more “mice” at the problem. The real advantage comes from how those paths interact. In quantum systems, certain paths reinforce the correct solution while incorrect paths cancel each other out. By the time you “check” the result, the most likely answer left standing is the one that leads to the exit.
That’s why quantum computing becomes powerful for specific types of problems. It is not necessarily better at everything, but for challenges where there are an enormous number of possible outcomes, like optimizing logistics, modeling financial systems, drug discovery, or simulating molecules. This approach can be far more efficient than traditional computing.
So, in simple terms:
Classical computing = one mouse trying paths one at a time
Quantum computing = many mice exploring different paths at once, with the system naturally favoring the correct route
That shift in approach is what makes quantum computing such a potentially transformative technology.
The limitation has always been reliability. Quantum systems are extremely sensitive to their environment, which leads to frequent errors. For years, this issue kept the technology from moving beyond experimental use.
Photo by Susan Q Yin on Unsplash
Nvidia’s Role in Accelerating the Timeline
One of the most important developments in 2026 has been the growing role of Nvidia in quantum computing.
Rather than building quantum hardware directly, Nvidia is focusing on applying artificial intelligence to improve how quantum systems operate. On April 14, 2026 dubbed “World Quantum Day”, Nvidia introduced AI-driven tools (Ising) designed to detect and correct errors in quantum computations. These tools have shown the potential to improve both speed and accuracy, addressing one of the biggest barriers to practical use. The story was a catalyst for a major move in Quantum Computing stocks that day and on the following day.
This changes the narrative in an important way. Quantum computing no longer needs to wait for perfect hardware to become useful. Instead, hybrid systems that combine classical computing, AI, and quantum processing can begin delivering value sooner – something Nvidia said it was working on at CES 2026.
Huang has made it clear that AI and quantum computing are complementary technologies. AI helps stabilize quantum systems, while quantum computing expands the types of problems AI can eventually solve.
Source: www.nvidia.com
Many Paths to Quantum: Here’s Four
As quantum computing moves from theory toward early-stage commercialization, investors are beginning to see a clearer divide in how companies are approaching the opportunity. Rather than one dominant model emerging, the industry is developing along three distinct paths. IonQ is focused on precision and scalability, building highly accurate systems designed to network together over time. Rigetti Computing is taking an infrastructure-first approach, developing integrated quantum systems that can eventually scale using semiconductor-based processes. Meanwhile, D-Wave Quantum is already delivering targeted real-world applications through a more specialized form of quantum computing. Together, these three companies highlight not just the progress being made, but the different ways the industry is trying to turn a complex technology into something commercially useful. Let’s take a deep dive into these three companies and finally we’ll add a fourth.
IonQ: Precision and Scalability
IonQ is often cited by analysts and industry reports as a leading pure-play quantum company.
The company uses trapped-ion technology, which is known for producing highly reliable calculations. In quantum computing, precision matters because even small errors can compound quickly in complex computations.
In 2026, IonQ reported progress in connecting separate quantum systems using photonic interconnects. In early-stage demonstrations, it allows multiple machines to work together as a network, which may prove to be a more practical way to scale quantum computing than relying on a single large system.
IonQ has also expanded its presence through partnerships with major cloud providers, allowing customers to access its systems through platforms they already use. From a financial standpoint, revenue is still modest but trending upward, and the company maintains a relatively strong balance sheet compared to peers.
Rigetti: Building the Infrastructure
Rigetti Computing takes a different approach by focusing on superconducting qubits and full-system integration.
This technology is similar to what larger players like IBM (IBM) and Google (GOOGL) are pursuing, which could make it easier to scale over time using existing semiconductor manufacturing processes; though, scaling superconducting systems remains technically challenging due to noise and coherence limitations. Rigetti has made progress in improving the stability and performance of its processors, particularly with its newer systems.
The company is also focused on integrating quantum and classical computing into unified workflows. This hybrid approach is important because it allows quantum systems to contribute value even before they are fully mature.
However, Rigetti remains earlier in its commercial journey. Revenue is still heavily tied to government contracts, and the company continues to operate at a loss. The investment case is largely based on future potential rather than current profitability.
D-Wave: Real-World Applications Today
D-Wave Quantum stands apart from the other two companies because it is already delivering practical use cases.
D-Wave uses a method called quantum annealing, which is designed to solve optimization problems. These include applications such as supply chain management, traffic flow optimization, and scheduling.
While this approach is less flexible than other forms of quantum computing, it has one major advantage. It works today for specific optimization problems, though in some cases classical systems can still compete on performance. The company has been building commercial relationships and demonstrating real-world applications across industries.
This has led to more tangible revenue growth compared to many peers, as D-Wave transitions from research-focused work to practical deployments.
Microsoft (MSFT): Stability, Scale, and the Platform Layer
Microsoft is taking a fundamentally different approach to quantum computing by focusing on long-term stability, scalability, and software infrastructure rather than near-term commercialization. Its core development centers on topological qubits, powered by its Majorana-based architecture, which are designed to be inherently more resistant to errors than traditional qubits. This is critical because error rates are the biggest barrier to making quantum systems useful. The company’s Majorana 1 chip, introduced as part of this effort, represents a potential breakthrough if successfully realized based on theoretical Majorana states that aim to create more stable qubits is designed to eventually scale to large numbers of qubits, though this has not yet been demonstrated.
Rather than competing directly as a pure-play hardware company, Microsoft is positioning itself as the platform layer for quantum computing through Azure Quantum. This cloud-based ecosystem allows enterprises to access quantum hardware, combine it with AI and high-performance computing, and begin experimenting with real-world use cases today. From a revenue perspective, quantum is not yet a standalone profit driver, but it fits into Microsoft’s broader Azure strategy, where quantum services, AI, and cloud computing converge. The monetization opportunity is less about selling quantum machines and more about embedding quantum capabilities into existing enterprise workflows over time.
In that sense, Microsoft’s strategy mirrors what it has done historically: build the infrastructure, tools, and ecosystem that enable others to use the technology at scale. If quantum computing reaches commercial viability, Microsoft is positioning itself to capture value not just from the hardware, but from the entire stack.
Honorable Mentions: The Broader Quantum Ecosystem
While much of the investor focus tends to center on companies like IonQ, Rigetti Computing, D-Wave Quantum, and Microsoft, the competitive landscape is far broader and shaped by several influential players. IBM remains one of the most advanced developers of quantum hardware, with a clearly defined roadmap toward fault-tolerant systems and deep enterprise integration. Alphabet continues to push the research frontier in quantum computing. It maintains a strong focus on superconducting qubits, highlighted by its Willow chip and the demonstration of verifiable quantum advantage, while announcing in March 2026 that it is adding a neutral-atom track in parallel to accelerate overall progress. Despite these advances, its efforts remain largely experimental and research-oriented.
Meanwhile, Amazon (AMZN) plays a critical role through its AWS Braket platform, providing access to multiple quantum systems and accelerating adoption through the cloud. On the infrastructure side, Intel (INTC) is developing silicon spin qubits aimed at long-term manufacturability and scale. Together, these companies reinforce an important point: quantum computing is not a single-company race, but a layered ecosystem spanning hardware, software, and access, with progress occurring across multiple fronts simultaneously.
Other Sources:
The Industry Is Making Real Progress
The quantum computing sector is beginning to show measurable improvements across several key areas.
Error correction is improving, with contributions from both AI-driven techniques and hardware advancements
Hardware performance continues to advance
Networking capabilities are expanding, allowing systems to scale
Early commercial applications are emerging
Revenue, while still small, is growing across multiple companies
At the same time, it is important to recognize what has not changed.
Quantum computing is still expensive, most companies are not yet profitable, and widespread commercial adoption remains limited. Fully fault-tolerant quantum computing, where systems can reliably correct their own errors at scale, remains a key milestone the industry has not yet reached. Stock prices reflect this uncertainty, often moving sharply based on incremental developments.
Why Jensen Huang’s Shift Matters
The change in tone from Jensen Huang is significant because it reflects a broader shift within the industry.
Initially, quantum computing was viewed as a long-term concept with little near-term impact. Now, it is increasingly seen as an emerging technology that could begin delivering value within a more realistic timeframe.
Nvidia’s involvement reinforces this shift. The company sits at the center of modern computing infrastructure, and its decision to invest in quantum-related tools signals that the technology is moving closer to practical relevance.
Investment Perspective: Early but Evolving
From an investment standpoint, quantum computing remains a high-risk, long-term theme. The potential market is large, with estimates ranging from tens of billions to over one hundred billion dollars in the coming decades.
Each of the major players offers a different exposure:
IonQ focuses on precision and scalable networking
Rigetti is building integrated quantum infrastructure
D-Wave is targeting immediate, practical applications
Microsoft is taking a software-first, cloud-driven approach via Azure Quantum, with longer-term optionality in advanced qubit development
The opportunity is significant, but the timeline is still uncertain, and volatility is likely to remain high.
Bottom Line
Quantum computing may no longer just a theoretical concept. It is an emerging industry that is beginning to show real progress through improved technology, growing partnerships, and early revenue generation. Nvidia’s involvement has accelerated development by addressing key technical challenges, while companies like IonQ, Rigetti, D-Wave, and Microsoft are pushing the boundaries of what is possible.
The technology is not fully mature, and widespread adoption will take time. However, the narrative has clearly shifted. Quantum computing may no longer be decades away for certain applications in the eyes of the market. It is moving closer to practical use, faster than many expected.
For investors, that shift is worth paying attention to.
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About the Author
Ryan J. Puplava, CMT®, CTS™, CES™
Wealth Advisor
Financial Sense® Wealth Management
ryan [dot] puplava [at] financialsense [dot] com ()
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