Tech

What is a qubit, and why does 20,000 of them matter for a viable quantum computer

TechCrunch2 h ago
The cryogenic cooling chamber of a quantum computer
The cryogenic cooling chamber of a quantum computerPhoto: Pachon in Motion / Pexels

Quantum computing startup Oratomic has closed a massive $300 million funding round for a project aiming to build a viable quantum computer using only 20,000 qubits. The round was co-led by ARCH Venture Partners, Spark Capital and Khosla Ventures. That number might sound like a technical footnote, but it actually points to one of the field's most fundamental debates: how many qubits does a practical quantum computer really need?

A qubit is the quantum equivalent of a classical computer's bit. Where a classical bit can only be a 0 or a 1, a qubit can represent both 0 and 1 at the same time thanks to quantum superposition. That property is the foundation of why quantum computers can, in theory, solve certain types of problems exponentially faster than classical machines.

But qubits' biggest weakness is that they are extremely fragile. They are highly sensitive to environmental noise, heat and electromagnetic interference, which can cause information loss through a phenomenon called quantum decoherence. To compensate for this fragility, engineers use a technique called error correction, which combines many physical qubits to create a single reliable logical qubit.

That's where the industry's big debate begins. Some researchers argue that achieving one reliable logical qubit could require thousands, or even millions, of physical qubits. Under that view, reaching enough computing power for practical applications would require a scale far beyond today's most advanced quantum computers.

Oratomic's approach relies on a different engineering strategy. The company claims that by producing physical qubits with a much lower error rate, the same level of reliability can be achieved with far fewer qubits. If that approach succeeds, it would mean a practical quantum computer could arrive on a much shorter timeline than previously estimated.

The fact that investors are willing to put this much capital into an early-stage startup is being read as a sign that quantum computing has moved beyond academic curiosity into a concrete investment category. A broad range of applications — from drug discovery to materials science, cryptography and financial modeling — is fueling the technology's commercial appeal.

Experts also note that qubit count alone is not a sufficient measure. How reliably qubits can be connected to one another, how quickly computations can be performed, and how long the system can remain stable all matter just as much as the raw qubit number. That's why the "20,000 qubits" figure needs to be weighed alongside these other technical characteristics.

Competing approaches across the industry add further nuance to this debate. Some companies are working with superconducting qubits, while others favor alternative physical platforms such as trapped ions or photonic systems. Each approach carries its own advantages and challenges, meaning there is no clear winner yet on which technology will come out on top.

Oratomic's roadmap envisions moving through gradual prototype stages over the coming years. The company plans to first validate error rates in small-scale systems before scaling up qubit counts in stages.

Experts also caution that ambitious targets like this have historically led to inflated expectations elsewhere in the tech sector. Whether Oratomic's claims hold up will require tracking concrete technical milestones in the years ahead.

This article is an AI-curated summary based on TechCrunch. The illustration is a stock photo by Pachon in Motion from Pexels.

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