aiqbench analysis
Quantum X Labs reports that its problem-independent calibration method cut measurement bias on three IBM processors to below 6%, and it claims a 15 to 21 times reduction in maximum cumulative error. The work is company-reported, tested on only three devices, and framed as initial evidence, so readers should look for independent replication and for how the gains hold across more circuits. Calibration-based error reduction is a practical lever for near-term hardware, but it is not the same as the error correction needed for fault-tolerant machines.
LayerQake at Quantum X Labs cuts qubit errors by up to 21x on IBM chips

LayerQake cut cumulative error by up to 21x on three IBM chips—ibmfez, ibmkingston, and ibm_marrakesh—reducing noise that causes qubit inaccuracies.
Quantum X Labs reports a 15- to 21-fold reduction in maximum cumulative error achieved by its LayerQake technology when tested on three IBM quantum processors: ibm_fez, ibm_kingston and ibm_marrakesh. The company’s pre-registered, reproducible experiment also lowered measurement bias from approximately 11%…
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