A new study led by Associate Professor Dong Zhaogang from the Singapore University of Technology and Design (SUTD) has found a way to achieve substantial wavelength tuning at ambient conditions using tiny, tunable nanostructures and low-voltage electrical control. This discovery is published in Advanced Materials in a paper titled, “Electrically tunable and modulated perovskite quantum emitters via surface-enhanced Landau damping”.

In a groundbreaking advance that could accelerate the development of quantum technologies, researchers at the USC Viterbi Ming Hsieh Department of Electrical and Computer Engineering and School of Advanced Computing have demonstrated the first optical filter capable of isolating and preserving quantum entanglement—a mysterious but powerful phenomenon at the heart of quantum computing, communication, and sensing. This work, published in Science, opens the door to compact, high-performance entanglement systems that can be integrated into quantum photonic circuits, enabling more reliable quantum computing architectures and communication networks.

Quside is proud to announce its participation in the PROMISE project, an ambitious initiative focused on the research and development of next-generation hybrid reprogrammable integrated photonic circuits. This project will enable advancements in telecommunications, quantum technologies, sensing, and space and security systems.

A collaboration bringing together UBC Blusson QMI researchers with industry and government partners is set to accelerate research and commercialization of innovative photonic chips. With over $1 million in funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Research Council Canada (NRC), the project aims to overcome key integration challenges in embedding quantum light sources into semiconductor-based platforms.

Researchers based at the University of Cambridge have created a three-state (ternary) molecular switch controlled by light and temperature. Unlike materials such as silicon that switches between two states, the new complex material can act as a solid-state optical switch between three different molecular states. This provides a groundwork for future technologies like optical data storage, photonic circuits and quantum computing.

Q.ANT, a pioneer in photonic processing for AI, has launched a dedicated production line for its high-performance photonic AI chips at the Institute of Microelectronics Stuttgart (IMS CHIPS), marking a significant semiconductor manufacturing milestone. By integrating Q.ANT’s patented photonic chip technology on the base of Thin-Film Lithium Niobate (TFLN) material and upcycling the existing CMOS production facility at IMS CHIPS, the partners have established a first-of-its-kind manufacturing line to accelerate the production of energy-efficient, high-performance processors for AI applications. Q.ANT has invested € 14 million in machinery and equipment to complement the new line for photonic chips.

Quantum Computing Inc. (“QCi” or the “Company”), an innovative, integrated photonics and quantum optics technology company, today announced it has received a fifth purchase order for its thin film lithium niobate (TFLN) photonic chip foundry. The latest order comes from a research group based in Canada to support its research efforts on quantum photonics.

OQC, a global leader in quantum computing solutions and spin-out from Oxford University’s Department of Physics, recently announced their research on the ‘Integration of through-sapphire substrate machining with superconducting quantum processors’. Successful demonstrations of this technique have been shown through the complete manufacturing process of their 32-qubit OQC Toshiko QPU.

In the new network project “Quantenrepeater.Net (QR.N)”, physicists at the University of Stuttgart are researching, developing, and testing special repeaters for the quantum Internet. These repeaters are key to the secure IT infrastructure and communications of the future.

Researchers have created a new ultra-broadband electro-optic comb that packs 450 nm of light precision into a chip smaller than a coin, paving the way for smarter, more efficient photonic devices.