Researchers at Tohoku University have developed a method to detect dark matter by connecting quantum sensors in optimized networks, potentially solving one of physics’ greatest mysteries^[1]. The quantum network approach aims to boost sensor sensitivity to detect the faint traces dark matter may leave behind, though it cannot be directly observed^[2].

Dark matter remains elusive despite making up approximately 27% of the universe^[3]. This new detection strategy involves linking superconducting qubits - typically used in quantum computers - into various network configurations including ring, line, and star patterns to amplify weak signals^[3:1].

The team tested their approach using systems of four and nine qubits, applying “variational quantum metrology” to optimize how quantum states were prepared and measured^[3:2]. To improve accuracy, they used Bayesian estimation to filter out noise from the measurements^[3:3].