Simulation method speeds search for useful diamond defects
A researcher at Princeton Plasma Physics Laboratory developed a faster computational approach to screen diamond defects for quantum computing and sensing applications. The method has already highlighted candidate materials that may work at room temperature, unlike many quantum systems that require extreme cooling. The work was published in ACS Central Science and has drawn interest from other experts.
Mark Martirez of Princeton Plasma Physics Laboratory developed the approach, published in ACS Central Science. He isolates a small defect-centered cluster of 16 to 30 atoms and models it as a molecule, letting established chemistry methods predict how qubits react to light and microwaves. This screening revealed boron- and oxygen-based defect candidates.
Diamond qubits arise from flaws such as a missing carbon, a replaced atom, or both. The closest atoms act as the basic unit for storing and processing information. Unlike many quantum systems needing extreme cooling, diamond-based options can operate at room temperature. Nitrogen-vacancy defects, a common focus, emit red light under laser excitation in one quantum state.
Faster screening of diamond defects could shorten the path from laboratory candidates to practical quantum sensors and computers. Researchers and technology developers may benefit most, since room-temperature operation could reduce reliance on extreme cooling and make devices easier to test or deploy. More sensitive sensors and faster complex computation might eventually affect scientific research and industries that depend on advanced measurement or computing, though real-world impact remains uncertain.