Updated
Updated · HPCwire · Jul 2
University of Sydney, IBM Lift Qubit Survival Above 96% on 156-Qubit Processor
Updated
Updated · HPCwire · Jul 2

University of Sydney, IBM Lift Qubit Survival Above 96% on 156-Qubit Processor

3 articles · Updated · HPCwire · Jul 2

Summary

  • Logical qubit survival rose from below 90% to more than 96% per error-correction cycle after University of Sydney researchers and IBM redesigned circuitry on a 156-qubit IBM Heron r2 processor.
  • Mid-circuit measurements emerged as a major source of failure because other qubits must idle during each check, letting noise build up even as the system tries to correct errors.
  • The team found measurement noise is among the dominant limits on reliable quantum logic operations in current devices, giving engineers a quantitative target for improving hardware.
  • Published in Nature Communications, the work advances a 2024 Sydney-IBM collaboration funded by IARPA and points to a clearer path toward scalable, fault-tolerant quantum computing.

Insights

Is improving qubit survival to 96% the key to fault-tolerant quantum computing, or just another incremental step?
As quantum computers become more reliable, which real-world problems will they actually solve first?

Over 96% Logical Qubit Survival Achieved on IBM Heron r2—Paving the Way for Practical Fault-Tolerant Quantum Computers

Overview

In July 2026, researchers from the University of Sydney and IBM achieved a major breakthrough by increasing the survival rate of logical qubits to over 96% per error-correction cycle on the IBM Heron r2 processor. This advance addresses one of quantum computing’s biggest challenges: keeping quantum information intact. The team used quantum error correction, which protects fragile qubits from environmental noise by spreading information across several physical qubits. By applying gauge theory for low-overhead fault tolerance, they tackled key limitations in quantum logic operations and clearly defined the performance needed for reliable error checks, moving quantum computing closer to practical use.

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