Silicon Qubits Show Remarkable Noise Correlations in Recent Study

Silicon Qubits Show Remarkable Noise Correlations in Recent Study

To build highly performing quantum computers, researchers should be able ⁢to reliably derive information about the noise inside them, while also identifying effective strategies‌ to suppress this ​noise. In recent years, significant progress has been made in this direction, enabling⁣ operation errors below 1% in various quantum computing platforms.

A research team at Tokyo Institute of Technology and RIKEN recently set out to reliably quantify the correlations between the noise produced ⁣by pairs of semiconductor-based⁢ qubits, which are very appealing for the ⁣development of scalable quantum processors. Their paper, published in Nature Physics, unveiled strong interqubit noise correlations between a pair of neighboring silicon spin ⁤qubits.

“A useful ​quantum computer would practically require millions of ‍densely packed, well-controlled qubits with errors not only small but also sufficiently uncorrelated,” Jun Yoneda, ⁤one of the researchers who carried out the study, told Phys.org. “We ⁣set ⁤out to address the ‍potentially serious issue ⁤of error correlation in silicon qubits, as they have become a compelling platform for large quantum computations​ otherwise.”

Fabricating highly performing quantum processors based on many closely positioned silicon qubits has so far proved challenging. These systems would exhibit noise that is correlated⁤ between different qubits. This reduces the devices’ fault tolerance, increasing their error rate and thus⁢ impairing their performance.

As part of their recent ‍study, Yoneda and his colleagues⁢ set out to explore⁢ the extent of these interqubit noise correlations, in the hope of informing the future development of semiconductor-based quantum ⁣computing systems. To do this, ‍they analyzed and⁤ tried ‌to quantify the correlation between the noise seen⁣ by ⁤two silicon-based qubits that were placed 100 nm away from each other.

2023-11-05⁢ 11:41:03
Link from phys.org

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