In the search for rare physics events, extremely pure materials are essential. A partnership between PNNL and Ultramet has led to tungsten with low contamination from other elements.

Researchers have created an algorithm that slashes the calculations necessary to prepare and customize data for quantum computing.

Nineteen PNNL-affiliated researchers have been named to Clarivate’s 2024 list of the world's most highly cited researchers.

In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.

A new approach validates quantum algorithms for low-energy nuclear physics applications

A new quantum algorithm speeds up simulations of coupled oscillator dynamics.

Newly developed ultra-low radiation cables reduce background noise for neutrino and dark matter detectors.

HiSVSIM enables large-scale quantum simulations through graph partitioning.

New research shows that compressing quantum circuits decreases noise and increases the accuracy of quantum calculations.

New research from PNNL results in faster and more accurate variational quantum algorithm training.

Researchers have discovered a news way to control the quantum behavior of semiconductor materials with laser light. The discovery could lead to a new kind of quantum material.

Fundamental research conducted at the $90-million research facility will help the nation meet its clean energy goals.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

Radiation from natural sources in the environment can limit the performance of superconducting quantum bits, known as qubits. The discovery has implications for quantum computing and for the search for dark matter.