Now, a team of researchers from IESL FORTH, Dr. Theocharis Lamprou and Dr. Paraskevas Tzallas, and ICFO, Dr. Javier Rivera-Dean, Philipp Stammer and ICREA Prof. Maciej Lewenstein, has successfully addressed both issues. They created generalized coherent state superpositions (GCSS), verified their quantum nature and employed them to drive a nonlinear optical process (which, per se, is indicative of the high photon number and intensity of the states). Their findings, demonstrated both theoretically and experimentally, have been reported in Physical Review Letters.

Quantum Computing Inc. (“QCi” or the “Company”), an innovative, integrated photonics and quantum optics technology company, today announced the receipt of its third and fourth purchase orders for its thin film lithium niobate (TFLN) photonic chip foundry. The orders, received from a renowned European technical university and a Canadian photonic integrated circuit (PIC) design house, mark a key milestone in the QCi Foundry Pilot Launch Program.

ICFO researchers Dr. Frederic Català-Castro, Santiago Ortiz-Vázquez, Dr. Carmen Martínez-Fernández, Martín Fernández-Campo, Dr. Neus Sanfeliu-Cerdán, led by Prof. Dr. Michael Krieg, along with Dr. Paolo-Antonio Frigeri from Impetux Optics and collaborators from multiple institutes (Center of Genomic Regulation, Institute for Research in Biomedicine and Universitat Pompeu Fabra), have developed a novel optical tweezer method to characterize rheological properties. This approach, published in Nature Nanotechnology, allows for more versatile, simplified measurements of the rheological properties of cells, tissues, and organelles, improving upon previous techniques.

SandboxAQ is proud to announce a year of exceptional progress and innovation from its AQMed division. Combining artificial intelligence with advanced sensors, AQMed empowers clinicians to make faster and more accurate heart health decisions. This transformative work has been featured in the McKinsey report Quantum Sensing’s Untapped Potential: Insights for Leaders and highlighted by AQMed GM Dr. Kit Yee Au-Yeung during The Economist’s Commercialising Quantum Global 2024 and in the World Economic Forum’s Quantum for Society: Meeting the Ambition of the Sustainable Development Goals. Today, AQMed reflects on its technical milestones that are paving the way for improved patient care.

The rare-earth metal erbium could play a key role in future quantum networks: researchers from MPQ and TU Munich succeeded in spectrally resolving and individually controlling up to 360 erbium ions.

Aeluma, Inc., a semiconductor company specializing in high performance, scalable technologies for mobile, automotive, AI, defense and aerospace, communication and quantum computing, today announced that it has joined Optica, the global society dedicated to advancing optics and photonics worldwide. This corporate membership aligns Aeluma with a prestigious network of industry leaders in light science and technology, amplifying the company's role in driving innovations in semiconductor and photonics technologies.

Quantum Computing Inc. (“QCi” or the “Company”), an innovative, integrated photonics and quantum optics technology company, today announced that the Company has been awarded a prime contract by the National Aeronautics and Space Administration’s (“NASA”) Goddard Space Flight Center. This contract marks a pivotal step forward for QCi by applying its entropy quantum optimization machine, Dirac-3, to support NASA’s advanced imaging and data processing demands.

Zooming in to the “pixels of reality”: the electron microscope helps us to do that. However, it is unsuited for particularly sensitive targets. A Vienna-based research group intends to avoid this problem with a quantum optics trick and thereby set new standards in high-resolution microscopy.

Photonic hardware, which can perform machine-learning computations with light, offers a faster and more energy-efficient alternative. However, there are some types of neural network computations that a photonic device can’t perform, requiring the use of off-chip electronics or other techniques that hamper speed and efficiency. Building on a decade of research, scientists from MIT and elsewhere have developed a new photonic chip that overcomes these roadblocks. They demonstrated a fully integrated photonic processor that can perform all the key computations of a deep neural network optically on the chip.

UCF and the University of Washington (UW) were recently awarded $4.2 million for six years from the U.S. National Science Foundation (NSF) to establish a quantum materials research and education center as part of the Partnerships for Research and Education in Materials (PREM) program.