In 2024-2025, quantum computing experienced its moment of greatest media hype. Google announced its “Willow” chip[^1], Amazon unveiled “Ocelot”[^2], and Microsoft presented “Majorana One”[^3]. Bombastic headlines spoke of ‘revolutions’ and “historic breakthroughs.”

But here's the truth that no one wants to admit: quantum computers are literally useless today.

Yes, you read that right. Despite billions in investment and grandiose promises, in 2025 there is not a single real-world problem that a quantum computer can solve better, faster, or more cheaply than a normal computer.

Yet behind the hype lies a $40 billion geopolitical race that could redraw the global balance of power.

Google caused a stir by claiming that its 105-qubit Willow chip can solve calculations in 5 minutes that would take supercomputers “10 septillion years”[^1]. The chip does represent a technical advance: for the first time, errors decrease as more qubits are added, solving a 30-year-old theoretical problem[^4].

Sounds impressive, right?

However, there's a catch: that ultra-fast calculation is “random circuit sampling,” a problem invented specifically to test quantum computers. It's like saying your car can beat a horse in a race... on Mars.

The “random circuit sampling” that Willow performs so quickly is a problem invented specifically to make quantum computers look good. No company, university, or government has ever needed to solve it.

The good news: Google has proven that quantum error correction really works. The bad news: we are still a long way from useful applications.

Amazon has taken a different route with Ocelot, a 9-qubit chip that uses so-called “cat qubits” (named after Schrödinger's famous cat). The idea is ingenious: instead of correcting errors after they happen, these qubits are naturally resistant to certain types of errors.

The result? Amazon claims to reduce error correction resources by 90%[^5]. It's like going from needing 1,000 firefighters to just 100 to put out the same fire. Still too many to be practical, but a significant improvement.

Microsoft has taken the riskiest approach: “topological” qubits based on particles called Majorana[^3]. The idea is that these exotic particles are naturally protected from errors, like information written in a knot instead of on a fragile sheet of paper.

After 20 years and billions invested, Microsoft says it has finally created these particles[^6]. The problem? Many scientists remain skeptical. Nature published the results with a note that essentially says “we're not convinced”[^7].

These different machines represent three completely different philosophies:

Google/IBM (Superconductors): “Let's build lots of qubits and solve errors with brute force.”

Amazon/Others (Cat Qubits/Ions): “Let's make qubits that are naturally less prone to errors”

Microsoft (Topological): “Let's search for the Holy Grail: qubits that are perfect by nature”

The installation of the IQM quantum computer at the Polytechnic University of Turin[^8] is not just a technological purchase: it is geopolitical. With €2 million, Italy has secured direct access to quantum technology without depending on American or Chinese clouds.

The 5 qubits of the Turin system may seem few, but the point is not power: it is strategic autonomy[^9]. Europe has understood that control of quantum technology will determine who will have power in the coming decades.

The EU Quantum Flagship program is worth €1 billion, with another €8 billion from member states[^10]. The goal is not to beat the Americans tomorrow, but to not depend on them the day after tomorrow.

Despite the hype, current “use cases” are disappointing.

JPMorgan Chase made headlines by generating “truly random numbers” with a quantum computer[^14]. Problem: normal computers have been doing the same thing for decades with components costing a few dollars. It's like using a rocket to light a candle.

Real financial applications (portfolio optimization, derivative pricing) remain on paper. Current quantum computers are too slow and unreliable to handle real money.

Roche is collaborating with Quantinuum on Alzheimer's research[^15], but it simulates molecules so simple that a laptop does it better. Real proteins have millions of atoms: millions of reliable qubits will be needed.

Volkswagen has created the first “quantum production system” by optimizing nine buses in Lisbon[^16]. The result is that it works, but a normal optimization algorithm would cost one thousand times less.

The quantum market is already worth $1.16 billion and is expected to reach $16.4 billion by 2030[^17]. How is this possible if it serves no purpose?

Amazon Braket, IBM Quantum, and Microsoft Azure Quantum offer access to their quantum computers. Prices range from hundreds to thousands of dollars per month for experiments and tutorials. It's like renting a spaceship to learn how to fly.

The “Quantum-as-a-Service” market is expected to grow from $2.3 billion (2023) to $48.3 billion in 2033[^19]. However, no one knows what to sell yet. It's venture capital based on pure hope.

If quantum computers are so useless, why do billion-dollar investments keep pouring in?

1. The Fear of Being Left Behind

No big tech company wants to be the one that “missed the quantum boat.” So they invest to avoid falling behind, even if they don't really know what they're investing in.

2. Marketing and PR

Saying “we have a quantum computer” makes a company sound innovative and cutting-edge. This can be worth billions in terms of image, even if the machine isn't useful.

3. The Promise of the Future

The idea is that sooner or later (perhaps in the 2030s) quantum computers will become useful. It's a very long-term investment based more on hope than concrete evidence.

The industry loves to talk about revolutionary applications: drug discovery, financial optimization, artificial intelligence. But here's the reality:

Before dismissing everything as useless hype, let's consider what this “quantum race” is producing:

Thousands of physicists and engineers are developing skills that will be needed for the technologies of the future. It's like the space program: expensive today, essential tomorrow.

When (not if) quantum computers become useful, those with the skills and infrastructure will have a head start. It's a long-term investment disguised as immediate innovation.

The most honest experts admit that truly useful quantum computers are at least 10-15 years away[^20]. And that's assuming that problems are solved that may be unsolvable:

2025-2028: Incremental improvements, still no practical applications

2028-2032: First fault-tolerant quantum computers with hundreds of logical qubits

2032+: (Perhaps) the first real commercial applications

If you work for a company that is “exploring quantum computing”:

Quantum computing reveals a fascinating paradox: the more useless a technology is today, the more valuable it may be tomorrow.

This creates counterintuitive dynamics. Google can spend hundreds of millions solving nonexistent problems and see its stock rise by billions. Microsoft can search for controversial particles for twenty years and attract even more investors. Amazon can build computers that do less than a Raspberry Pi and be celebrated as an innovator.

Quantum computing isn't just technology: it's institutionalized speculation. Governments and companies are essentially betting billions that this technology will eventually become crucial. It's venture capital on a national scale.

But there is one fundamental difference from the speculative bubbles of the past: here, not investing could be strategic suicide. If quantum computers do indeed break all modern encryption one day, those who are not ready will be cut off from entire economic sectors. It's a bet that no one can afford to lose, but no one yet knows how to win.

Quantum computers are like Godot in Beckett's play: everyone talks about them, everyone waits for them, but they never arrive. In the meantime, the industry has built an entire economic ecosystem around this expectation.

The quantum computers of 2025 are simultaneously:

The hype is exaggerated for immediate results, but probably underestimated for the long-term impact. This is normal in radical innovation: first it seems like useless magic, then it becomes indispensable.

The next time you read about a “quantum breakthrough,” ask yourself two questions:

In the meantime, enjoy the spectacle of this billion-dollar technology race. It's expensive and sometimes ridiculous, but it could be the prelude to the next industrial revolution.

[^1]: Google. "Meet Willow, our state-of-the-art quantum chip." December 2024. https://blog.google/technology/research/google-willow-quantum-chip/

[^2]: Amazon. "Amazon's new Ocelot chip brings us closer to building a practical quantum computer." February 2025. https://www.aboutamazon.com/news/aws/quantum-computing-aws-ocelot-chip

[^3]: Microsoft. "Microsoft's Majorana 1 chip carves new path for quantum computing." February 2025. https://news.microsoft.com/source/features/innovation/microsofts-majorana-1-chip-carves-new-path-for-quantum-computing/

[^4]: Google Quantum AI. "Quantum error correction below the surface code threshold." Nature 638, 651–655 (2024). https://www.nature.com/articles/s41586-024-08449-y

[^5]: Caltech. "New Ocelot Chip Makes Strides in Quantum Computing." February 2025. https://www.caltech.edu/about/news/new-ocelot-chip-makes-strides-in-quantum-computing

[^6]: Microsoft Azure Quantum. "Microsoft unveils Majorana 1." February 2025. https://azure.microsoft.com/en-us/blog/quantum/2025/02/19/microsoft-unveils-majorana-1-the-worlds-first-quantum-processor-powered-by-topological-qubits/

[^7]: Nature. "Microsoft quantum computing 'breakthrough' faces fresh challenge." February 2025. https://www.nature.com/articles/d41586-025-00683-2

[^8]: Politecnico di Torino. "The first IQM quantum computer in Italy is turned on in Turin." May 2025. https://www.polito.it/en/polito/communication-and-press-office/poliflash/the-first-iqm-quantum-computer-in-italy-is-turned-on-in

[^9]: Data Center Dynamics. "IQM installs quantum computer at Politecnico di Torino." May 2025. https://www.datacenterdynamics.com/en/news/iqm-installs-quantum-computer-at-politecnico-di-torino-data-center/

[^10]: Il Sole 24 ORE. "Turin, Links Foundation and Poli 'switch on' a quantum computer." October 2024. https://en.ilsole24ore.com/art/turin-foundation-links-and-poly-turn-on-quantum-computer-AGXb2Tk

[^11]: Science News. "Physicists are mostly unconvinced by Microsoft's new topological quantum chip." March 2025. https://www.sciencenews.org/article/microsoft-topological-quantum-majorana

[^12]: IEEE Spectrum. "Microsoft's Topological Qubit Claims Create Mixed Reactions." March 2025. https://spectrum.ieee.org/topological-qubit

[^13]: Physics. "Microsoft's Claim of a Topological Qubit Faces Tough Questions." Physics 18, 68 (2025). https://physics.aps.org/articles/v18/68

[^14]: JPMorgan Chase. "Certified randomness using a trapped-ion quantum processor." Nature, March 2025. https://www.jpmorgan.com/technology/news/certified-randomness

[^15]: Argonne National Laboratory. "JPMorgan Chase, Argonne and Quantinuum show quantum speedup." March 2025. https://www.anl.gov/article/jpmorgan-chase-argonne-and-quantinuum-show-theoretical-quantum-speedup-with-the-quantum-approximate

[^16]: McKinsey & Company. "The Rise of Quantum Computing." April 2024. https://www.mckinsey.com/featured-insights/the-rise-of-quantum-computing

[^17]: Grand View Research. "Quantum Computing Market Size | Industry Report, 2030." https://www.grandviewresearch.com/industry-analysis/quantum-computing-market

[^18]: Precedence Research. "Quantum Computing Market Size to Hit USD 16.44 Billion by 2034." https://www.precedenceresearch.com/quantum-computing-market

[^19]: P&S Market Research. "Quantum Computing Market Size, and Growth Report, 2032." https://www.psmarketresearch.com/market-analysis/quantum-computing-market

[^20]: Fortune Business Insights. "Quantum Computing Market Size, Share & Growth Report, 2032." https://www.fortunebusinessinsights.com/quantum-computing-market-104855

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