Science
NV centers are great magnetometers, but their amazing sensitivity is lost outside cryogenic environments. But what is lost can sometimes be found, and today's guests, Raffaele Santagati and Antonio Andres Gentile, have just discovered how to fix the situation. We discuss: NV centers, Hamiltonian learning, quantum sensors and machine learning. Basically, all the good stuff. R. Santagati, A. A. Gentile et al, Magnetic-Field Learning Using a Single Electronic Spin in Diamond with One-Photon Readout at Room Temperature, Phys. Rev. X 9, 021019 (open access paper) Papers referenced during conversation: (~ 3:50) Scale-free correlations in starling flocks (paper) (~ 6:30) Experimental quantum Hamiltonian learning (paper, preprint) (~ 9:00) Experimental quantum Hamiltonian learning (paper, preprint) (~ 18:45) Quantum measurement and orientation tracking of fluorescent nanodiamonds inside living cells (paper) (~ 30:00) Efficient Bayesian Phase Estimation (paper, preprint) (~ 33:00) Quantum-Enhanced Measurements: Beating the Standard Quantum Limit (paper, preprint) (~ 33:15) Optimized quantum sensing with a single electron spin using real-time adaptive measurements (paper, pdf) (~ 33:50) Robust online Hamiltonian learning (open access paper) (~ 33:50) Hamiltonian Learning and Certification Using Quantum Resources (paper, preprint) Big review of everything: C. L. Degen, F. Reinhard, and P. Cappellaro, Quantum sensing, Rev. Mod. Phys. 89, 035002 (paper, preprint)