By Jeff Burt
Publication Date: 2026-11-06 22:58:00
Over the past few years, quantum computing companies have made remarkable strides in addressing the central challenge of correcting errors the systems make, a hurdle that needs to be cleared before practical, commercial fault-tolerant quantum computing can fully be realized.
We have written about a range of approaches to error correction that are being worked on, from running an error-correction code with a quantum processing unit (QPU) created with a different grid to using a decoder that can run on a single CPU to leveraging AI reinforcement learning.
Each effort is made to reach the same basic goals, including reducing the number of errors quantum systems make and lowering the technical overhead needed to make this happen to help them scale and keep the costs down. Logical qubits – the group of many physical qubits – is a key technique for reducing errors, but more needs to be done. Quantum systems typically now have gate error rates ranging from one error per…
