Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum computing – both physically and technologically.

Quantum technology is evolving rapidly and is set to have a major impact on a wide range of industries. As advancements accelerate, businesses and policymakers must prepare for the implications on their sectors. However, many organizations are still in the early stages of understanding how quantum technology could affect their operations. To bridge this gap, the European Quantum Industry Consortium (QuIC) and Dutch National Quantum Program Quantum Delta NL are hosting Q-Expo on May 14-15, 2025, in Amsterdam. This large-scale, free event connects potential end-users of quantum technology with experts and pioneers in the field, offering a unique opportunity to gain knowledge and strengthen collaboration within the quantum ecosystem.

Infleqtion, a global leader in quantum information technologies, today unveiled Contextual Machine Learning (CML) at GTC 2025. CML is a novel AI approach that allows machine learning models to process information over longer time periods and from multiple sources simultaneously. This enhances AI’s ability to recognize patterns in sensor data, predict trends, and make real-time decisions with greater accuracy.

In a workshop held on 6th March 2025 at Innopolis University, the foundations for the Tatarstan Quantum Consortium were established, marking a significant step towards ensuring that Tatarstan becomes a leader in the use of quantum computing and technologies by 2030. The consortium discussed quantum computing, quantum networks, quantum memory, and quantum sensing, but the priority was to enhance quantum computing. This initiative aims to drive advancements across various sectors, including pharmaceuticals, logistics, the financial industry, materials science, machine learning, and cryptography, representing a promising development for both the region’s future and the global quantum landscape.

Now scientists from the University of California San Diego have uncovered a key finding to another unique property: at high pressure and low temperature, liquid water separates into two distinct liquid phases — one high-density and one low-density. Their work appears in Nature Physics.

The Spanish government’s Minister for Digital Transformation and Public Function, Óscar López, announced on Tuesday that the government will become a shareholder of San Sebastian-based Multiverse Computing with a co-investment of 67 million euros.

University of Arizona College of Engineering researchers Christos Gagatsos and Bane Vasic received two grants from the federal government to advance novel areas in quantum information. Gagatsos was awarded $1.4 million from the U.S. Army Research Office to investigate the application of quantum error correction in magnetic field sensing, and Vasic was awarded $600,000 from the National Science Foundation to stabilize quantum computing with error correction codes.

A low-energy challenger to the quantum computer that also works at room temperature may be the result of research at the University of Gothenburg. The researchers have shown that information can be transmitted using magnetic wave motion in complex networks.

ORCA Computing and Toyota Tsusho Corporation (Toyota Tsusho), a member of the Toyota Group, announced their partnership to provide customers in Japan and across the Asia Pacific region with ORCA Computing’s cutting-edge PT Series product line.

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.