Quantum sensor networks
Quantum sensors combine high spatial resolution and high precision for measuring quantities such as electric fields, magnetic fields, and temperature. At the same time, sensors based on photons or phonons can be used in applications such as imaging and force detection. Our group is developing protocols for sensing properties of spatially varying fields, including time-dependent and noisy fields, using networks of quantum sensors. We also have a broader interest in quantum sensing and learning.
Sample of Related Publications
Precision Limits of Multiparameter Markovian-Noise Metrology
, , arXiv:2604.14298, (2026)Brady et al_2026_Precision Limits of Multiparameter Markovian-Noise Metrology.pdfEntanglement Advantage in Sensing Power-Law Spatiotemporal Noise Correlations
, , arXiv:2603.15742, (2026)Wang et al_2026_Entanglement advantage in sensing power-law spatiotemporal noise correlations.pdfButterfly Echo Protocol for Axis-Agnostic Heisenberg-Limited Metrology
, , arXiv, (2026)Bringewatt et al_2026_Butterfly Echo Protocol for Axis-Agnostic Heisenberg-Limited Metrology.pdfIncoherent Imaging with Spatially Structured Quantum Probes
, , arXiv:2510.09521, (2025)Brady et al_2025_Incoherent Imaging with Spatially Structured Quantum Probes.pdfMeasuring Gravitational Lensing Time Delays with Quantum Information Processing
, , arXiv:2510.07898, (2025)Liu et al_2025_Measuring gravitational lensing time delays with quantum information processing.pdfOptimally Learning Functions in Interacting Quantum Sensor Networks
, , arXiv:2510.06360, (2025)Abbasgholinejad et al_2025_Optimally learning functions in interacting quantum sensor networks.pdfHigher Moment Theory and Learnability of Bosonic States
, , arXiv:2510.01610, (2025)Iosue et al_2025_Higher moment theory and learnability of bosonic states.pdfLieb-Mattis States for Robust Entangled Differential Phase Sensing
, , arXiv:2506.10151, (2025)Kaubruegger et al_2025_Lieb-Mattis states for robust entangled differential phase sensing.pdfEfficiently Learning Fermionic Unitaries with Few Non-Gaussian Gates
, , arXiv:2504.15356, (2025)Austin et al_2025_Efficiently learning fermionic unitaries with few non-Gaussian gates.pdfCorrelated Noise Estimation with Quantum Sensor Networks
, , Phys. Rev. Lett., 136, (2026)sl32-jn82.pdfsupplement-3.pdfExponential Entanglement Advantage in Sensing Correlated Noise
, , arXiv, (2024)Wang et al_2024_Exponential entanglement advantage in sensing correlated noise.pdfCovariant Quantum Error-Correcting Codes with Metrological Entanglement Advantage
, , Phys. Rev. Lett., 135, (2025)dttc-ksdn.pdfSM-4.pdfOptimal Function Estimation with Photonic Quantum Sensor Networks
, , Phys. Rev. Res., 6, (2024)PhysRevResearch.6.013246.pdfEstimation of Hamiltonian Parameters from Thermal States
, , Phys. Rev. Lett., 133, (2024)PhysRevLett.133.040802.pdfThermalSupp.pdfQuantum Sensing with Erasure Qubits
, , Phys. Rev. Lett., 133, (2024)PhysRevLett.133.080801.pdfsupplement_clean.pdfMinimum Entanglement Protocols for Function Estimation
, , Phys. Rev. Research, 5, (2023)2110.07613.pdfProtocols for estimating multiple functions with quantum sensor networks: geometry and performance
, , Physical Review Research, 3, (2021)bringewatt21pdf.pdfOptimal Measurement of Field Properties with Quantum Sensor Networks
, , Physical Review A, 103, (2021)qian21.pdfqian21supp.pdfHeisenberg-Scaling Measurement Protocol for Analytic Functions with Quantum Sensor Networks
, , Physical Review A, 100, (2019)qian19.pdfDistributed Quantum Metrology with Linear Networks and Separable Inputs
, , Physical Review Letters, 121, (2018)ge18.pdfge18supp.pdfSpectrum estimation of density operators with alkaline-earth atoms
, , Physical Review Letters, 120, (2018)beverland18.pdfbeverland18supp.pdfOptimal and Secure Measurement Protocols for Quantum Sensor Networks
, , Physical Review A, 97, (2018)eldredge18.pdfFar-field optical imaging and manipulation of individual spins with nanoscale resolution
, , Nature Phys., 6, 912, (2010)