Detecting dark matter - the mysterious substance that holds galaxies together - is one of the greatest unsolved problems in physics. Although it cannot be seen or touched directly, scientists believe dark matter leaves weak signals that could be captured by highly sensitive quantum devices.
In a new study, researchers at Tohoku University propose a way to boost the sensitivity of quantum sensors by connecting them in carefully designed network structures. These quantum sensors use the rules of quantum physics to detect extremely small signals, making them far more sensitive than ordinary sensors. Using these, accurately detecting the faint clues left behind from dark matter could finally become possible.
The study focuses on superconducting qubits, which are tiny electric circuits cooled to very low temperatures. These qubits are normally used as building blocks of quantum computers, but here they act as powerful quantum sensors. Just as a team working together can achieve more than a single person, linking many of these superconducting qubits in an optimized network allows them to detect weak dark matter signals much more effectively than any single sensor could on its own.
The team tested different network patterns, such as ring, line, star, and fully connected graphs, using systems of four and nine qubits. They then applied variational quantum metrology (a method similar to training a machine-learning model) to optimize how the quantum states were prepared and measured. To refine the results, Bayesian estimation was used to filter out noise, much like sharpening a blurry image.
The findings were striking: optimized networks consistently outperformed traditional methods, even when realistic noise was introduced. This shows the approach can work on today's quantum devices.
"Our goal was to figure out how to organize and fine-tune quantum sensors so they can detect dark matter more reliably," said Dr. Le Bin Ho, lead author of the study. "The network structure plays a key role in enhancing sensitivity, and we've shown it can be done using relatively simple circuits."
Beyond dark matter, these quantum sensor networks could advance technologies such as quantum radar, gravitational wave detection, and ultra-precise timekeeping. Furthermore, they may one day improve GPS accuracy, enhance brain imaging with MRI, or help detect hidden underground structures.
"This research shows that carefully designed quantum networks can push the boundaries of what is possible in precision measurement," Dr. Ho added. "It opens the door to using quantum sensors not just in laboratories, but in real-world tools that require extreme sensitivity."
Looking ahead, the team plans to extend this approach to larger networks and explore ways to make the sensors more resistant to noise.
The findings were published in Physical Review D on October 1, 2025.
- Publication Details:
Title: Optimized quantum sensor networks for ultralight dark matter detection
Authors: Adriel I. Santoso, Le Bin Ho
Journal: Physical Review D
