HRL Demonstrates Autonomous 18-Qubit Error Correction With 10x Lower Control Errors
Updated
Updated · Quantum Zeitgeist · Jul 30
HRL Demonstrates Autonomous 18-Qubit Error Correction With 10x Lower Control Errors
3 articles · Updated · Quantum Zeitgeist · Jul 30
Summary
HRL Laboratories said its 18-qubit silicon processor performed complete error correction autonomously, with a cryogenic CMOS controller running inside the refrigerator instead of relying on room-temperature electronics.
A new superconducting ribbon cable made that possible by carrying hundreds of control signals while limiting heat transfer, addressing a key scaling bottleneck in quantum systems.
Control errors were 10 times lower than in earlier demonstrations using similar qubits, and each quantum operation finished in under a microsecond.
Using more qubits in its repetition code cut errors by roughly fivefold, supporting HRL’s claim that the architecture should keep suppressing errors as systems grow.
HRL said the prototype points to quantum computers built on standard chip production lines and compact enough to fit inside a single refrigerator.
Could shifting classical control directly inside the cryostat make mass-produced silicon quantum chips the ultimate standard for fault-tolerant computing?
With IBM's acquisition looming, could HRL's new cryogenic controller finally shrink warehouse-sized quantum computers into a single standard refrigerator?
If a single ribbon cable replaces racks of electronics, what hidden thermal limits might still block the path to a million-qubit system?
IBM Acquires HRL After 18-Qubit Autonomous Silicon Quantum Processor Breakthrough: A New Era in Scalable Quantum Computing
Overview
In July 2026, IBM made a major move in quantum computing by acquiring HRL Laboratories and, soon after, showcasing HRL’s breakthrough: an 18-qubit silicon-spin processor that runs autonomously inside a cryostat. This innovation bypasses traditional wiring and heat issues by placing control electronics close to the qubits, reducing errors and enabling better scaling. With this, IBM now operates both superconducting and silicon-spin quantum technologies, leveraging shared manufacturing and control expertise. While this dual-track approach boosts IBM’s ability to scale and innovate, it also brings new operational challenges and highlights the industry’s ongoing talent shortage.