The Department of Energy’s Quantum Computing User Program, or QCUP, at the Oak Ridge Leadership Computing Facility, or OLCF, enables scientific discovery and technological innovation by providing a diverse community of scientific researchers access to quantum computing resources. This competitive merit-based access program partners with quantum computing vendors to provide cloud-based access to quantum computing resources and to facilitate user interactions, resource management and reporting. The program engages a broad community of users in the development and curation of these resources for testing and evaluation of quantum computing for scientific research.

A research team led by physicists at the Department of Energy’s Pacific Northwest National Laboratory, in collaboration with colleagues at MIT’s Lincoln Laboratory, the National Institute of Standards and Technology, along with multiple academic partners, published their findings to assist the quantum computing community to prepare for the next generation of qubit development.

Purdue University has been selected by the U.S. Department of Energy (DOE) to lead the Quantum Photonics Integrated Design Center (QuPIDC) Energy Frontier Research Center (EFRC).

Imagine a future where quantum computing is as accessible as the smartphone in your pocket. Where a quantum chip is embedded in your laptop, or thousands of quantum chips are deployed in supercomputing centres, forming the world’s most powerful quantum supercomputers. With this vision, Quantum Brilliance partnered with Pawsey Supercomputing Research Centre to develop the foundational steps of diamond-based room-temperature quantum computing. During this year’s Prime Minister Awards for Science, that bold ambition has been recognised, with Quantum Brilliance co-founder Dr Andrew Horsley named the 2024 New Innovator of the Year.

Using the hybrid approach, researchers at Los Alamos National Laboratory proposed a specific realization of Grover’s algorithm. As one of the best-known quantum algorithms, Grover’s algorithm allows unstructured searches of large data sets that gobble up conventional computing resources.

A recent collaboration among researchers from HUN-REN Wigner Research Centre for Physics in Hungary and the Department of Energy’s Pacific Northwest National Laboratory, along with industry collaborators SandboxAQ and NVIDIA, has achieved unprecedented speed and performance in efforts to model complex metal-containing molecules. The collaboration resulted in 2.5 times the performance improvement over previous NVIDIA graphics processing unit (GPU) calculations and 80 times the acceleration compared to similar calculations using central processing unit (CPU) methods. The recently published research study sets a new benchmark for electronic structure calculations.

Two papers led by researchers from the Department of Energy’s Oak Ridge National Laboratory received “Editor’s Choice” awards from the journal Future Generation Computer Systems.

Research using the ALICE experiment at CERN’s Large Hadron Collider suggests for the first time the presence of gluonic quantum fluctuations at the subnucleon level in heavy nuclei. University of Kansas experimental nuclear physicist Daniel Tapia Takaki and his team have published findings detailing the breakthrough discovery in the Editor’s Suggestion of Physical Review Letters.

A team of researchers, led by scientist Lin Zhou of Ames National Laboratory, has made important progress towards understanding the role of surface oxides in improving quantum computing circuits performance. Surface oxides are a primary cause of decoherence, or loss of quantum properties in quantum circuits. The team is part of a larger effort by the Superconducting Quantum Materials and Systems Center (SQMS) to improve quantum computers.

An international research team led by NYU Tandon School of Engineering and KAIST (Korea Advanced Institute of Science and Technology) has pioneered a new technique to identify and characterize atomic-scale defects in hexagonal boron nitride (hBN), a two-dimensional (2D) material often dubbed "white graphene" for its remarkable properties.