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Practical Quantum Computers Could Threaten Bitcoin Encryption by 2030, Caltech Warns

Highlights:

  • Caltech and Oratomic said useful quantum computers may need far fewer qubits than earlier estimates suggested.
  • The study says practical quantum machines could arrive before 2030 if engineering progress continues.
  • Faster quantum progress is raising fresh concerns about Bitcoin encryption and broader digital security systems.

A new study from the California Institute of Technology (Caltech) and Oratomic, a quantum computing-focused startup, says useful quantum computers may arrive sooner than many expected. In a report published on Tuesday, the team said a fully developed quantum computer may need only around 10,000 to 20,000 qubits. That is much lower than older estimates, which often reached into the millions. The researchers said this smaller target could make such systems possible before the end of this decade.

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Faster progress in quantum computing is raising new concerns about modern encryption, including elliptic curve systems used in Bitcoin wallets and many other security tools. Caltech’s article does not say Bitcoin is close to being broken. But it does suggest the timeline for quantum risks to current encryption may be shorter than many people expected.

A Breakthrough in Quantum Error Correction

Today’s quantum computers make many mistakes because qubits, the quantum version of normal computer bits, are very fragile. To handle difficult tasks, researchers have long thought they would need millions of physical qubits working together. But the Caltech team’s new method changes that idea.

The researchers used neutral atoms placed with laser tools called optical tweezers. This method lets qubits connect across larger distances and cuts the number of physical qubits needed to make one stable logical qubit. Instead of around 1,000 physical qubits, the new design may need only about five.

Manuel Endres, a Caltech physics professor involved in the research, said neutral-atom qubits can connect directly over long distances, unlike some other quantum systems. This makes error correction more efficient. The team called the result “ultra-efficient error correction,” saying it could bring reliable quantum computing much closer than earlier estimates suggested.

Endres said:

“We are developing new architectures for neutral-atom quantum processors that dramatically reduce the resource estimates for fault-tolerant quantum computing. This progress makes me optimistic that broadly useful quantum computing will soon be a reality.”

Caltech Says Practical Quantum Computers Could Arrive by 2030

Caltech said this smaller qubit target means practical quantum computers could, at least in theory, be possible by the end of this decade. The institute also pointed to recent progress on the hardware side, noting that researchers have already built neutral-atom arrays with more than 6,000 trapped atoms. Even so, the work is still theoretical. The team said several major engineering hurdles must be cleared before these systems can turn into scalable, fault-tolerant quantum computers.

The study’s senior authors include Manuel Endres, John Preskill, Hsin-Yuan Huang, and Dolev Bluvstein. Caltech said the team now plans to build even larger arrays while keeping error rates low enough for real-world use.

The research came only a day after Google released a paper with a similar warning. Google said quantum computers may be able to break Bitcoin’s cryptography much faster than earlier estimates suggested. In that paper, Google urged crypto developers to start shifting blockchains to post-quantum cryptography now, instead of waiting for the threat to become real.

Last week, Google also set a 2029 target for its own post-quantum migration and said quantum risks may be closer than many think.

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