Regression models help track diamond nitrogen vacancy centers in real-time at ambient temperatures
Abstract
Optically controlled Nitrogen Vacancy (NV) diamond-based quantum computers are notable for their ability to operate at ambient temperatures. A major challenge, however, is the misalignment of optical components caused by temperature fluctuations, which shifts the NV's position. We present an experimental redesign which helps us train a regression model to predict the NV's location in real-time. The simplicity and effectiveness of our method will be of interest to researchers in quantum information, sensing, and meteorology.
Fields of Study & Subjects
Diamond and Carbon-based Materials Research
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
Publication details
- Journal / source
- Quantum Computing, Communication, and Simulation
- Pages
- 62–62
- Publication date
- 5 March 2026
- Language
- EN