The Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich received a 100-qubit quantum computer from Pasqal in mid-November. Pasqal is a world leader in neutral atoms quantum computing technology. The new quantum computer is part of the EuroHPC JU project HPCQS and will be coupled with the JURECA DC supercomputer at JSC. This will enable European researchers to use hybrid classical-quantum resources to solve complex challenges.

Quantum Source, an Israel-based company developing, technology for powerful, cost-effective, practical photonic quantum computers, announced today it has raised a $50M Series A investment round led by Eclipse, with participation from Standard Investments, Level VC, Canon Equity, as well as existing investors Pitango First, Grove Ventures, 10D, and Dell Technologies Capital.

The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has finalized its principal set of encryption algorithms designed to withstand cyberattacks from a quantum computer.

IonQ, a leader in the quantum computing and networking industries, today announced its participation in NVIDIA’s first-ever Quantum Day, taking place at GTC on Thursday, March 20, in San Jose, California. IonQ will share details of several recent real-world demonstrations of quantum-accelerated computation for commercially-relevant applications alongside collaborators and partners Amazon Web Services (AWS), Ansys, AstraZeneca, and NVIDIA. Additionally, IonQ Executive Chair Peter Chapman will speak on IonQ’s progress in quantum on an exclusive industry leadership panel led by NVIDIA founder and CEO Jensen Huang.

Today, Yunger Halpern’s work as an award-winning physicist also straddles two centuries and two worlds – thermodynamics and quantum mechanics.

Trapped ions have been one of the most powerful approaches in quantum computing, demonstrating world-record performance, long coherence times and long-range connectivity. But these systems face a fundamental challenge: they struggle to dramatically scale up the number of physical qubits, relying on one-dimensional chains with hard physical limitations that prevent scaling — until now.

If you’d like to solve a math problem on a good old-fashioned chalkboard, you want the board clean and free of any previous markings so that you have space to work. Quantum computers have a similar need for a clean workspace, and a team including scientists at the National Institute of Standards and Technology (NIST) and University of Maryland have found an innovative and effective way to create and maintain it.

The close relationship between AI and high-performance scientific computing can be seen in the fact that both the 2024 Nobel Prizes in Physics and Chemistry were awarded to scientists for their AI-related research contributions in their respective fields of study. KAIST researchers succeeded in dramatically reducing the computation time for highly sophisticated quantum mechanical computer simulations by predicting atomic-level chemical bonding information distributed in 3D space using a novel AI approach.

Quantum computers have yet to outperform today’s computers on problem-solving tasks, but a Virginia Tech research team has a plan to bring this next milestone closer: applying an algorithm that can be tailored simultaneously to different types of quantum computers and to specific problems being solved.

To speed up the puzzle-fitting process, researchers at SMU have created SmartCADD. This open-source virtual tool combines artificial intelligence, quantum mechanics and Computer Assisted Drug Design (CADD) techniques to speed up the screening of chemical compounds, significantly reducing drug discovery timelines. In a recent study published in the Journal of Chemical Information and Modeling, researchers demonstrated SmartCADD’s ability to identify promising HIV drug candidates.