Science & Technology (Commonwealth Union) – As the artificial intelligence (AI) continues to bring about further advances in technology, the focus on further advancing this technology continues. Venture capitalists and other investors pour in large sums of money and researchers have made AI technology a key focuss.
Scientists from Monash University have created a groundbreaking nanoscale circuit capable of producing, steering, and detecting light-based information on a single chip.
Developed by scientists from the School of Physics and Astronomy, the innovation combines advanced materials with nanotechnology to address a major challenge in the emerging field of “valleytronics” — a promising area that could enable faster and more energy-efficient computing as well as future quantum technologies.
For the first time, the researchers have shown a fully integrated platform that can generate specialised light signals, direct them with precision, and translate them into electrical signals within a compact chip-based system.
These optical signals encode information through the “valley degree of freedom,” a quantum property of certain materials that can be used to store and process data in entirely new ways.
Lead author of the study published in Nature Photonics, Dr Chi Li, said the breakthrough addresses a major limitation that has held the field back for years.
Dr Li indicated that on prior occasions, they were able to either generate or detect these signals, but not combine all functions within a single integrated device.
“What we’ve built is a complete on-chip system that can create, route and read this information with very high precision.”
The device functions by combining materials only a few atoms thick with carefully engineered nanostructures that manipulate light at the nanoscale.
Co-first author and Research Fellow at Monash University, Dr Xing, explained, “We use a simple stacking method to merge ultrathin materials with metasurfaces, avoiding the difficulties of growing materials directly on photonic structures and paving the way for progress in valleytronics.”
Notably, the system works at room temperature, which makes it significantly more practical for real-world use compared to many quantum technologies that depend on extreme cooling.
Senior author Dr Haoran Ren, an ARC Future Fellow and head of the Monash NanoMeta Group, said the research could lead to a new generation of compact, programmable photonic devices.
Dr Ren indicated that this is a key move in the direction of scalable, chip-based technologies that utilize light instead of electricity for the processing of information.
He further indicated that it has a strong possibility for the use in quantum computing, advanced imaging, along with next-generation optical communication systems.
In a notable demonstration, the team managed to encode and process two separate images at the same time on the device, highlighting its ability to manage multiple data streams in parallel.
Researchers suggest the technology could one day lead to significantly faster, more energy-efficient computing systems, along with new possibilities in secure communications and advanced data processing.
The achievement marks an important step in narrowing the divide between laboratory physics experiments and deployable integrated technologies.
Professor Stefan A. Maier, Head of the School of Physics and Astronomy and the Nanophotonics Laboratory at Monash indicated that this is a key milestone toward fully integrated valleytronic systems.
He further indicated that by adding together light and quantum materials on a chip, they have the ability to access new ways for the encoding and processing information.
The research saw the joining of hands with scientists from across the world that included Australia, China, Singapore, Germany, and Japan, combining expertise in nanophotonics, two-dimensional materials, and optoelectronics. At Monash University, the team included Dr Chi Li, Dr Kaijian Xing, Professor Michael S. Fuhrer, Professor Stefan A. Maier, and Dr Haoran Ren, with additional key contributions from the Singapore University of Technology and Design, LMU Munich, and the University of Technology Sydney.
