Quantum computing entered 2026 with exceptionally high expectations. Eight months later, the picture is more concrete but also more selective: technological progress is real, early revenue is growing, and governments and major corporations continue to invest. However, the industry has yet to demonstrate a broad economic advantage over the best classical systems.
The real development is therefore not the sudden arrival of the “computer of the future,” but the shift from a race based on qubit counts to a competition that is harder to explain and more important to measure: operation quality, logical qubits, error correction, the ability to integrate quantum computing with supercomputing, commercial orders and financial sustainability.
2026 is the year of validation, not the finish line
The number of physical qubits, considered in isolation, is becoming less useful for comparing different platforms. Trapped ions, superconducting circuits, neutral atoms, photonics, annealing and topological qubits have different characteristics, errors and operating models. Investors should focus on four questions:
- How many useful circuits can the system execute with sufficient accuracy?
- How much does it cost to turn noisy physical qubits into reliable logical qubits?
- Is there a verifiable application that outperforms a competitive classical alternative?
- Is technological progress generating repeatable revenue, or does it still depend on prototypes and isolated contracts?
IBM has placed 2026 at the heart of its roadmap. It is targeting the first examples of quantum advantage using hardware integrated with high-performance computing, while developing a real-time error-correction decoder. The group identifies 2029 as its target for Starling, a large-scale fault-tolerant system. These are significant industrial milestones, but they remain roadmap objectives and should be assessed as forward-looking targets, not achievements that have already been secured.
Following Willow, Google has shifted its focus towards error correction and verifiable experiments. The Quantum Echoes project demonstrated a form of verifiable quantum advantage in a quantum-dynamics problem. Nevertheless, there is still a substantial gap between a scientific demonstration and an application capable of delivering a better economic return than classical solutions. In March 2026, Google also expanded its research into neutral atoms—a sign that even industry leaders are not yet committing to a single architecture.
Amazon is following a similar strategy. AWS continues to develop Ocelot, based on superconducting cat qubits, and in June 2026 strengthened its collaboration with QuEra to advance neutral-atom systems towards fault-tolerant computing through Amazon Braket. The message for the market is clear: in the near term, value may also emerge from cloud infrastructure and access to multiple technologies—not only from one qubit architecture eventually prevailing.
Microsoft remains the most ambitious and controversial case. Majorana 1 renewed interest in topological qubits, which could potentially scale more easily because of their intrinsic protection against errors. However, parts of the scientific community continue to call for stronger and reproducible evidence. Investors should therefore treat Majorana as a potentially high-impact technological option, not as proof that the scalability problem has already been solved.
Pure-play companies: more visible revenue, but losses remain high
Results for the second quarter of 2026 show an expanding but highly uneven sector.
IonQ reported record quarterly revenue of $80.1 million, up 287% year on year, and raised its 2026 guidance to $280–290 million. At the end of June, the company held $3 billion in cash and investments, or approximately $2 billion on a pro forma basis following the SkyWater acquisition. This represents the strongest commercial signal among the listed pure-play companies reviewed, but it does not remove the risk: the quarterly net loss was $1.87 billion, affected by the SkyWater transaction, while the adjusted EBITDA loss reached $120.3 million. Moreover, IonQ’s revenue covers a broader ecosystem than quantum computing alone, including networking, sensing, cybersecurity and systems.
Rigetti reported revenue of $5.1 million and an operating loss of $28.1 million. Progress compared with previous quarters is visible, but the gap between sales and costs confirms that the investment case remains tied to its ability to improve the performance of its superconducting chips and turn partnerships and system deliveries into a broader commercial base.
D-Wave generated $3.1 million in quarterly revenue, broadly unchanged year on year, but its forward-looking indicators were more dynamic: first-half bookings reached $35.5 million and remaining performance obligations amounted to $40.7 million. Quantum annealing already offers use cases in optimisation, but it should not be confused with a universal quantum computer. Costs also remain substantial, with the quarterly adjusted EBITDA loss rising to $37.1 million.
Quantum Computing Inc. increased revenue to $5.6 million from just $61,000 a year earlier, supported by quantum and photonics products and services. The percentage growth is exceptional because it starts from a minimal base; operating expenses, meanwhile, rose to $21.8 million. This illustrates why percentage revenue growth alone is insufficient in this industry: investors must also examine sales quality, margins, customer concentration and cash consumption.
The first mass-market application may be defensive
Post-quantum cryptography is the segment with the most immediate demand. It does not require a quantum computer capable of breaking RSA encryption to be available today. Companies and public authorities must migrate in advance, both because of the complexity of legacy systems and because of the “harvest now, decrypt later” risk—the theft of encrypted information today with the intention of decrypting it in the future.
The US National Institute of Standards and Technology has already finalised the first three post-quantum standards and is encouraging organisations to begin migrating by identifying vulnerable algorithms, hardware and software dependencies, and operational priorities. For investors, this expands the value chain beyond QPU manufacturers: security, key management, networks, software upgrades, consulting and semiconductors could generate revenue before fault-tolerant quantum computing arrives.
Quantum ETFs: diversification, but not pure exposure
For many investors, an ETF remains more rational than attempting to select a single technological winner. However, the underlying index must be examined carefully. The Defiance Quantum ETF (QTUM), also cited in the original article, includes dozens of companies and spreads its portfolio across pure-play businesses, semiconductors, electronic design, software and large technology groups. This structure reduces the company-specific risk associated with one architecture, but also makes the exposure less “pure”: a significant portion of its performance may depend on the semiconductor cycle, AI and the Nasdaq rather than on quantum revenue.
Before investing in a thematic ETF, it is worth examining:
- The actual weighting of IonQ, Rigetti, D-Wave and QCi;
- Concentration among the ten largest holdings;
- The presence of AI companies with only indirect exposure to the theme;
- Annual costs, liquidity, bid–ask spreads and fund domicile;
- Rebalancing frequency and index methodology.
How to assess the sector in the second half of 2026
Quantum computing is no longer merely an academic promise, but it is not yet a mature industry. Positive signals include rising orders, revenue growth at selected companies, expanding cloud access, integration with HPC and the standardisation of post-quantum security. The principal risks remain elevated valuations, shareholder dilution, cash burn, dependence on government contracts, aggressive acquisitions and the difficulty of comparing non-homogeneous technical announcements.
The decisive metric for 2026 will not be which company announces the most qubits, but which one demonstrates reproducible progress and converts it into contracts, margins and operational advantages for customers. Until that conversion is complete, big tech companies will offer more defensive exposure, ETFs will provide useful but imperfect diversification, and pure-play companies will remain the most speculative component of the theme.
In summary, quantum computing is advancing, but financial markets often move faster than the technology itself. Approaching the sector requires a long-term horizon, valuation discipline and the ability to distinguish a scientific breakthrough from a sustainable business model.
The information contained in this article is provided exclusively for informational purposes and does not constitute financial advice, a personalised recommendation or a solicitation to invest. The instruments mentioned may be highly volatile and may expose investors to a loss of capital. Before making any decision, investors should assess their objectives, investment horizon and risk profile with a qualified professional.
