Now, a joint collaboration between the Indian Institute of Technology Indore, the Institute for Condensed Matter Physics and Complex Systems (Politecnico de Torino), the Institute for Quantum Optics and Quantum Information (Innsbruck), the University of Innsbruck, the Institute of Theoretical Physics (Jagiellonian University), the Mark Kac Center for Complex Systems Research (Jagiellonian University), and ICFO and ICREA Prof. Dr. Maciej Lewenstein, has provided an updated review, published in Reports on Progress in Physics. In this work, they have collected some of the most recent and exciting results on the investigation of non-standard Bose-Hubbard models, focusing on their application for atomic quantum simulators.

Scientists have long sought to unravel the mysteries of strange metals — materials that defy conventional rules of electricity and magnetism. Now, a team of physicists at Rice University has made a breakthrough in this area using a tool from quantum information science. Their study, published recently in Nature Communications, reveals that electrons in strange metals become more entangled at a crucial tipping point, shedding new light on the behavior of these enigmatic materials. The discovery could pave the way for advances in superconductors with the potential to transform energy use in the future.

Researchers at the University of the Witwatersrand in Johannesburg, South Africa (Wits University) in collaboration with Huzhou University in China have discovered a way to protect quantum information from environmental disruptions, offering hope for more reliable future technologies.

In a new paper in Nature, a team of researchers from JPMorganChase, Quantinuum, Argonne National Laboratory, Oak Ridge National Laboratory and The University of Texas at Austin describe a milestone in the field of quantum computing, with potential applications in cryptography, fairness and privacy.

Christine Muschik, a research associate faculty member at Perimeter Institute and a professor at the University of Waterloo’s Institute for Quantum Computing, is working at the frontier of quantum computing today – using not just “qubits” that are represented as superpositions of zeros and ones, but with multi-level “qudits” that go well beyond the binary qubit realm.

Researchers at the Department of Energy’s Fermi National Accelerator Laboratory, along with scientists and engineers at the computer chip manufacturer Diraq, University of Wisconsin-Madison, University of Chicago and Manchester University, have proposed the development of a quantum sensor made of quantum bits called spin qubits in silicon to probe beyond Standard Model physics. Diraq is a global leader in quantum computing technology on silicon, which is essential to the Quandarum project.

Using a novel type of quantum computer, Martin Ringbauer’s experimental team at the University of Innsbruck, and the theory group led by Christine Muschik at IQC at the University of Waterloo, Canada report in a publication in the journal Nature Physics how they have successfully simulated a complete quantum field theory in more than one spatial dimension.

Fujitsu Limited today announced the world’s first demonstration of a complete universal quantum gate set for diamond spin qubits with an error probability below 0.1%, achieving a fidelity among the highest reported over all quantum hardware technologies. This collaboration with QuTech, a leading quantum technology research institute of Delft University of Technology (TU Delft), marks an important step for the diamond spin method towards carrying out quantum error correction and realizing practical quantum computing. The findings were published in Physical Review Applied on March 21, 2025.

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.

The NVIDIA Accelerated Quantum Research Center, or NVAQC, announced today at the NVIDIA GTC global AI conference, is where these developments will happen. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the facility will house a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research.