Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …

Integrated photonic circuits are created as a stable and small form factor analogue of fiber-
based optical systems, from wavelength-division multiplication transceivers to more recent …

Deep learning has become a widespread tool in both science and industry. However,
continued progress is hampered by the rapid growth in energy costs of ever-larger deep …

New developments in hardware-based 'accelerators' range from electronic tensor cores and
memristor-based arrays to photonic implementations. The goal of these approaches is to …

Programmable photonics have the potential to completely transform a range of emerging
applications, including optical computing, optical signal processing, light detecting and …

Following the explosive growth of global data, there is an ever-increasing demand for high-
throughput processing in image transmission systems. However, existing methods mainly …

Orbital angular momentum (OAM) detection underpins almost all aspects of vortex beams'
advances such as communication and quantum analogy. Conventional schemes are …

Probabilistic machine learning utilizes controllable sources of randomness to encode
uncertainty and enable statistical modeling. Harnessing the pure randomness of quantum …

Structured optical materials create new computing paradigms using photons, with
transformative impact on various fields, including machine learning, computer vision …

In recent years, with the further ministration of the semiconductor device in integrated
circuits, power consumption and data transmission bandwidth have become insurmountable …