Skip to content

New quantum breakthrough tackles atom loss in trapped-ion systems

A missing **atom** can derail quantum calculations. Now, scientists have a clever way to detect and repair these invisible breaks before they spread.

In this image we can see a board with something written. Near to the board there are markers. There...
In this image we can see a board with something written. Near to the board there are markers. There is a duster. In the back there is a wall. On the right side there is a qr code.

New quantum breakthrough tackles atom loss in trapped-ion systems

A new approach to tackling chain loss in quantum computers has been developed by researchers at the University of Innsbruck. The team, led by Rainer Blatt and Thomas Monz, focused on trapped-ion systems where lost atoms disrupt calculations. Their method aims to improve the reliability of quantum error correction by addressing a key weakness in current designs.

Quantum computers using trapped ions face a persistent challenge: atoms can vanish from chains during operations. This loss disrupts calculations and becomes more severe as chains grow longer. Simulations reveal that, at higher physical error rates, chain loss often dominates over other error sources.

The Innsbruck team proposed a solution involving 'beacon' qubits—special ions that detect and correct chain breaks. Fast measurements of these beacon qubits help maintain performance when loss rates are low. Their scheme keeps logical error rates close to ideal levels, within a factor of three, even with some chain loss present.

However, the effectiveness depends on system design. Code parameters and qubit arrangements influence how vulnerable a processor is to chain loss. The researchers also noted that errors build up with longer chains and extended gate operations. Developing decoding algorithms that adapt to these losses remains a top priority for future work.

The study highlights that ion loss in long chains limits both the size and reliability of trapped-ion quantum processors. While the new method reduces the impact of chain loss, further refinements in error correction and decoding will be essential. The findings provide a clearer path toward more stable and scalable quantum computing systems.

Read also:

Latest