Recently, a collaborative research team led by Professor Zhang Minming and Associate Professor Zheng Shuang from Huazhong University of Science and Technology, in partnership with Professor José Capmany from Spain’s Universitat Politècnica de València, unveiled a groundbreaking innovation: a wavelength-division-multiplexing-enabled multi-core parallel programmable optical photonic processor (OFPPA). This pioneering technology marks the first integration of the wavelength dimension into a two-dimensional programmable optical network architecture, substantially boosting both the functional density and computational performance of photonic processors. The team’s findings have been published in the esteemed journal Nature Communications.

In response to the inherent physical limitations of traditional electronic processors—such as clock speed constraints, heat dissipation challenges, and bandwidth bottlenecks—this research introduces a novel solution that harnesses the high-speed and low-latency advantages of photons. The OFPPA enables a wide range of optical signal processing functions through dynamically reconfigurable photonic hardware, significantly reducing both the development cycle and cost associated with dedicated photonic integrated chips.

Traditionally, optical chips have been hindered by the programmable optical mesh architecture of tunable Mach-Zehnder interferometers (MZIs), which restricted their ability to achieve independent configuration in the wavelength dimension and, consequently, limited their parallel processing capabilities. The research team, however, has overcome these barriers through their innovative approach.

Professors Zhang Minming and Zheng Shuang have dedicated themselves to the development of computing-interconnect optoelectronic fusion chips, silicon-based heterogeneous integration technology, and intelligent chip design. Their sustained efforts have led to the successful execution of multiple national key projects and the publication of a series of high-impact research achievements in top-tier academic journals.