Monash Scientists Build 1 Chip That Generates, Steers and Reads Light for AI and Quantum Computing
Updated
Updated · ScienceDaily · Jun 7
Monash Scientists Build 1 Chip That Generates, Steers and Reads Light for AI and Quantum Computing
3 articles · Updated · ScienceDaily · Jun 7
Summary
Monash University researchers built a single photonic chip that generates, routes and reads light-based signals, overcoming a key valleytronics hurdle that had kept those functions separate.
The device uses atomically thin materials stacked with engineered metasurfaces to control light's quantum "valley" degree of freedom, creating a practical on-chip way to encode and process data.
At room temperature, the chip simultaneously encoded and processed 2 separate images, showing it can handle multiple information streams without the extreme cooling many quantum systems require.
Published in Nature Photonics, the work points to faster, lower-power computing and potential uses in AI, quantum technologies, secure communications and optical data systems.
This new light-based chip works in the lab, but can it overcome the hurdles to ever reach mass production?
With rivals at MIT and Stanford also advancing, who is winning the global race to build a light-based computer?
A room-temperature quantum chip is here. How soon will this breakthrough start powering our everyday AI and devices?
Room-Temperature Integrated Valleytronics Chip Unveiled: Monash University’s 2026 Breakthrough Sets New Benchmark for Quantum and AI Computing
Overview
In June 2026, Monash University achieved a major breakthrough in valleytronics by developing an integrated chip that operates at room temperature. This innovation, published in Nature Photonics, uses ultra-thin materials just a few atoms thick combined with specially engineered nanostructures to precisely control light at tiny scales. The team, led by Dr. Kaijian Xing, introduced a straightforward stacking approach that overcomes previous technical challenges. This new chip design marks a significant step forward, making valleytronics more practical for future computing and data processing technologies.