The digital world runs on electrons. Every smartphone swipe, every video call, and every piece of data in the cloud relies on electrons moving through circuits. But as devices become faster and more powerful, traditional electronics are hitting physical limits. Heat generation, energy loss, and the speed limits of electron flow are becoming major bottlenecks in computing.
Scientists are now asking a bold question: could photons replace electrons to control, as well as carry, information inside computers? Photons can travel at the ultimate speed limit, don’t generate as much heat, and can carry vastly more information through multiple channels simultaneously. Until now, there has been a large body of work focusing on electrons acting as control and modulation mechanisms of light. However, some researchers are working to a fully-optical system. If harnessed, fully light-based computing could revolutionize everything from AI processing to internet speeds.
Enter Johnathan Dearlove, a PhD student at the University of Oxford's Advanced Nanoscale Engineering Laboratory. While many researchers are exploring opto-electronic circuits, Johnathan's work focuses on developing purely optical systems where photons can act as both control scheme and information carrier.
His approach combines cutting-edge nanofabrication with advanced optical simulations. By designing nanoscale waveguides and optical components such as ring resonators, he aims to create pathways where light can carry data without losing information, while eliminating the need for electronics as a control scheme - providing a highly-energy efficient computing system.
“A huge challenge is reliably measuring photon behaviour on such a small timescale,” Johnathan explains. “We need to understand both the physics of light-matter interaction and the engineering and fabrication challenges of integrating devices with larger-scale computing systems. As more energy is consumed through the world's increased reliance on computers, we need to find solutions to reduce the energy consumption of these systems while preserving the performance we've come to expect.”
If successful, his work could pave the way for computers that are faster, more energy-efficient, and capable of handling data-intensive tasks we can’t yet imagine. While electrons have served us well for decades, the next frontier of computing might just be lit by photons.
