Posted 1/9/2024, 10:44:03 PM
Machine Learning Bridges Quantum Reality Gap by Inferring Nanoscale Disorder from Electron Flow
- Machine learning used to overcome reality gap in quantum devices, bridging difference between predicted and observed behavior
- Attributed to nanoscale imperfections in materials that can't be directly measured
- Physics-informed machine learning infers disorder characteristics from electron flow
- Allows more accurate predictions of device performance to engineer better materials
- Similar to inferring black holes from effects on surrounding matter despite not seeing directly