Breakthrough in quantum computing: logical qubit survival rate reaches 96% on IBM Heron
Quantum computing is taking another decisive step forward. A team of physicists, in collaboration with IBM, has achieved an impressive logical qubit preservation rate of 96% on the latest 156-qubit superconducting processor, the IBM Quantum Heron r2. This is a significant leap from previous values, which barely exceeded 90%.
The main problem that was solved is the so-called "idle noise." In modern quantum systems, intermediate qubit measurements must be performed regularly for error correction. However, during these pauses, the remaining components of the processor lose stability, generating new errors. This effect has long remained one of the key barriers to fault-tolerant quantum computing (FTQC).
To overcome this obstacle, the researchers completely redesigned the architecture of error correction circuits. The key innovation was a radical reduction in the time of forced computation halts. Optimizing the algorithms allowed the survival rate of logical qubits per correction cycle to be raised from less than 90% to 96%. The project leader emphasized that this process is repeated multiple times at each stage of computation, and minimizing downtime is a critical factor for reliable operation.
Although the result has so far been obtained in laboratory conditions on a single processor, it is of enormous significance for the entire industry. Scalability and fault tolerance remain the main challenges for quantum computing, and progress in error correction directly brings us closer to the era of practical quantum supremacy. It is worth recalling that IBM has already planned to demonstrate the first confirmed cases of quantum advantage by the end of 2026, and such research makes this timeline increasingly realistic.
Expert opinion: The breakthrough in increasing the survival rate of logical qubits to 96% is not just an incremental improvement, but a paradigm shift. If previously "idle noise" was considered an almost insurmountable fundamental limitation, we now see that engineering optimization can radically change the situation. For the crypto industry, this is a signal: the timeline for the onset of the "quantum threat" to modern cryptographic algorithms may be revised downward, making the development of post-quantum standards an even higher priority task.