In the development of particle physics, researchers have introduced an innovative particle encoding mechanism that promises to improve how information in particle physics is digitally registered and analyzed. This new method, focusing on the quantum properties of constituent quarks, offers unprecedented scalability and precision. It paves the way for significant advancements in high-energy experiments and simulations.

A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.

BlueQubit Inc. and Quantum Art Ltd. have been awarded a grant from the Israel-U.S. Binational Industrial Research and Development (BIRD) Foundation to develop and optimize quantum machine learning algorithms and quantum processor configuration methods.

Quantonation, the leading early-stage investment fund dedicated to quantum technologies, is pleased to announce an investment through its fund Quantonation II in Pioniq Technologies, a Paris-based ESPCI and CNRS spin-off.

A Research team led by academician GUO Guangcan, Prof. LI Chuanfeng and Prof. LIU Biheng from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), collaborating with Prof. Giulio Chiribella from the University of Hong Kong, constructed a coherent superposition of quantum evolution with two opposite directions in a photonic system and confirmed its advantage in characterizing input-output indefiniteness. Their study was published in Physical Review Letters.

Terra Quantum, in collaboration with Evonik, one of the world's leading specialty chemical manufacturers, developed HQPINN, a hybrid quantum-classical solver for Computational Fluid Dynamics (CFD), demonstrating a 21% improvement in accuracy over purely classical methods.

In a new study published in The European Physics Journal A, Li and colleagues from Oak Ridge National Laboratory (ORNL) and Los Alamos National Laboratory created a method to validate quantum algorithms for nuclear physics applications. While Li and his colleagues are not the first to apply quantum computing methods to low-energy physics calculations, their newly developed method makes validating these calculations more efficient—setting the stage for quantum advances over classical calculations in this field.

SandboxAQ and CQE will collaborate on quantum sensing efforts, particularly at the University of Chicago-based National Science Foundation Quantum Leap Challenge Institute for Quantum sensing for Biophysics and Bioengineering (QuBBE).

The University of Waterloo has officially opened its state-of-the-art Inert Atmosphere Fabrication Lab (IAFL) as part of the Quantum-Nano Fabrication and Characterization Facility (QNFCF).

In this study, a combination of state-of-the-art materials simulations and neural-network-based sampling technique led researchers at the Department of Energy’s (DOE) Midwest Center for Computational Materials (MICCoM) to discover the atomistic generation mechanism of qubits from spin defects in a wide-bandgap semiconductor.