The biggest misconception about "quantum computing" in the market: it is still "too early".

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Investors generally believe quantum computing remains at the stage of science fiction, but Barclays’ latest research report points out that this “too early” illusion could make you miss out on the most crucial trend of the next 12 months.

According to Chase Wind Trading Desk, Barclays analyst team has just released a report titled "Quantum Computing: Correcting the Biggest Misconceptions of Investors".

The core logic of the report is straightforward: Wall Street underestimates the pace of technological breakthroughs and fundamentally misunderstands the relationship between quantum and classical computing power (like Nvidia). Barclays believes that we are on the eve of moving from “laboratory toy” to “commercial tool”.

Misconception 1: Quantum computing is “too early”

Barclays’ first correction: Don’t treat quantum computing as a pure long-term theme that won't yield results for another 10 years.

The market generally believes that a perfectly functioning “fault-tolerant quantum computer” (FTQC) will only appear after 2030. While this is true, Barclays reminds investors not to ignore the milestones in between.

Barclays points out that 2026 to 2027 will be the watershed years for the industry, when “quantum advantage” will be achieved.

More importantly, it’s about how “advantage” is defined. Barclays believes, “When a system targets 100 logical qubits, advantage can be proven.” It also reminds us that any claim of “advantage” must be backed by “strong technical data”; otherwise, it’s more marketing than a turning point.

“We expect major announcements in the next 12 months... When a system can stably operate 100 logical qubits, quantum advantage will be proven.”

This is like the Wright brothers’ first flight: although it couldn’t carry passengers (commercialization), it proved airplanes were superior to carriages (quantum advantage). Once this signal appears, valuation logic in the capital markets will be instantly reshaped.

Misconception 2: With quantum, classic computing will be replaced and Nvidia is doomed?

This is the biggest cognitive bias in the market. The report points out that many believe quantum computers are so powerful that they will replace current CPUs and GPUs. Barclays rebuts: This is not a replacement relationship, but the “strongest assist” relationship.

“Quantum computers will not replace classical computers as general-purpose machines, but rather complement them.”

The core logic behind this is “error correction”: qubits are extremely fragile and unstable (prone to errors). To make them work properly, a highly powerful classical computing system is needed to watch over and correct them in real time.

Barclays research reveals a stunning data relationship:

“Each logical qubit may require one GPU for error correction and control.”

What does this mean? If you build a quantum computer with 1,000 logical qubits, you'll need to buy 500 to 2,000 GPUs to support it.

This is no longer a competition, but symbiosis. The more powerful a quantum computer gets, the more explosive the demand for Nvidia and AMD chips becomes. Barclays estimates that in a blue sky scenario, this “companion demand” will bring an incremental increase of over $100 billion to the classical computing market by 2040.

Misconception 3: All quantum hardware is similar, like buying a lottery ticket?

The truth here is that the tracks are already differentiated, with clear strengths and weaknesses.

Quantum hardware paths are not single. Barclays classifies mainstream physical qubit routes into electronics (superconducting, electron spin), atoms (ion trap, neutral atom), and photonics, pointing out that each one’s pros and cons come from tradeoffs among speed, accuracy, coherence time, external infrastructure (cryogenics, lasers, vacuum), and scalability.

Using a “quantum benchmark model”, Barclays highlights the major points in today’s chaotic hardware race:

The current “precision king” — Ion Trap: Represented by companies like Quantinuum and IonQ. Their advantage is accuracy, low error rate, and relatively mature technology.
The future “mass production dark horse” — Silicon Spin: This is the direction Intel is working on. Though its performance is average for now, it can use existing semiconductor manufacturing. Once there’s a breakthrough, it’s the easiest to mass-produce.
Winning in numbers — Neutral Atoms: Has natural advantages in the number of qubits that can be stacked.

Barclays concludes:

“Our tests show that ion traps are currently in the lead... but silicon spin’s scalability deserves long-term attention.”

Misconception 4: Encryption is about to be cracked?

Regarding fears that “quantum computers will crack bank passwords tomorrow”, Barclays pours cold water: that's overthinking it; current computing power is far from enough.

To crack today's RSA encryption, thousands of perfect logical qubits are needed, but today, even the most cutting-edge equipment only has a few dozen. Barclays says bluntly:

“Quantum computers aren’t powerful enough yet... Modern encryption standards are not yet under threat.”

Misconception 5: Only two or three quantum companies to invest in

The market often believes investment targets in this field are scarce, limited to just a handful of well-known companies. But Barclays has mapped the entire industrial chain and identified 45 listed companies and more than 80 private firms. They are mainly distributed in four fields:

1) Quantum processors (system sales or QCaaS cloud access)

2) Quantum supply chain (cryogenics, lasers/optics, control electronics, materials, etc.)

3) Quantum chip design and manufacturing (with overlap with traditional semiconductor manufacturing)

4) Ecosystem enablers (cloud, data center infrastructure, quantum simulators, quantum-classical integration: GPU/CPU/servers, etc.)

The framework given in the report leans more toward "risk pricing": in the short run, “greater revenue exposure” often equates to “higher tech risk”. It divides technical risk based on whether the business model is tied to a single approach: high (single route), medium (few routes), low (route agnostic).

This also explains why the quantum narrative tends to “focus only on pure quantum hardware stocks”: their revenue exposure is most direct, but the path uncertainty is greatest; while supply chain, semiconductor equipment and EDA, cloud and data center, and hybrid integration links may better absorb the transmission of “quantum progress → capex and supporting demand”.

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The above highlights are from Chase Wind Trading Desk.

For a more detailed interpretation, including real-time insights and frontline research, please join [Chase Wind Trading Desk Annual Membership]

Risk Warning & DisclaimerThe market carries risks, and investment needs caution. This article does not constitute individual investment advice, nor does it consider individual users' specific investment goals, financial situation, or needs. Users should consider whether any opinions, viewpoints, or conclusions in this article suit their specific circumstances. Investment based on this is at your own risk. ```