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# IQM Demonstrates Entanglement Across a Complete 54-Qubit Processor

**[The Quantum Insider](https://daily.dev/sources/thequantuminsider)** · 3 min read · 0 upvotes · 0 comments

## Summary

IQM has entangled all 54 qubits of its cloud-accessible Emerald processor simultaneously in a single GHZ state. The company measured a fidelity of 0.516 across the full chip with readout error mitigation applied, and 0.515 at 40 qubits without it, both above the 0.500 threshold that separates genuine entanglement from noise. Previously users could reliably work with only around 30 qubits at once. IQM attributes the jump to an automated state-preparation routine that picks gates and gate order to minimize idle time, an updated calibration methodology, and error-reduction tools like dynamical decoupling, which led to error rates being reduced by up to 50%. Cloud customers now get access to this full-chip performance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thequantuminsider.com/2026/10/29/iqm-full-chip-entanglement-54-qubit-processor>

## Questions this post answers

### What fidelity did IQM achieve when entangling all 54 qubits of its Emerald quantum processor?

IQM measured a GHZ-state fidelity of 0.516 across the full 54-qubit Emerald processor with readout error mitigation applied, and 0.515 at 40 qubits without it. Both exceed the 0.500 classical threshold used to distinguish genuine entanglement from noise, and mark the first time the entire chip was entangled simultaneously.

_Developers tracking which quantum cloud platforms offer real full-chip performance can follow hardware milestones like this on daily.dev._

### How many qubits could users reliably work with on IQM Emerald before this full-chip entanglement result?

Users could previously reliably run algorithms using on the order of 30 qubits on IQM Emerald, even though the chip has 54 qubits total. Many studies on large quantum chips use only 10 to 20 qubits regardless of available hardware size, making this jump to all 54 qubits notable.

_Anyone evaluating quantum cloud providers against stated versus usable qubit counts can keep up on daily.dev._

### What techniques did IQM use to improve calibration and reduce error rates on its superconducting quantum processor?

IQM combined an updated calibration methodology, an improved gate set, dynamical decoupling, and automated qubit selection with a new state-preparation routine that chooses gate order to minimize idle time. Together these cut error rates for quantum operations by up to 50% over roughly a year of hardware and calibration work.

_Teams weighing error-mitigation approaches for superconducting qubits can track these techniques on daily.dev._

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