Spin bath narrowing with adaptive parameter estimation
arXiv:1203.1635 · doi:10.1103/PhysRevA.85.030301
Abstract
We present a measurement scheme capable of achieving the quantum limit of parameter estimation using an adaptive strategy that minimizes the parameter's variance at each step. The adaptive rule we propose makes the scheme robust against errors, in particular imperfect readouts, a critical requirement to extend adaptive schemes from quantum optics to solid-state sensors. Thanks to recent advances in single-shot readout capabilities for electronic spins in the solid state (such as Nitrogen Vacancy centers in diamond), this scheme can be as well applied to estimate the polarization of a spin bath coupled to the sensor spin. In turns, the measurement process decreases the entropy of the spin bath resulting in longer coherence times of the sensor spin.
References in corpus (16)
- High-sensitivity diamond magnetometer with nanoscale resolution
- Single-shot read-out of an individual electron spin in a quantum dot
- Single-shot readout of an electron spin in silicon
- High-fidelity projective readout of a solid-state spin quantum register
- Entanglement-free Heisenberg-limited phase estimation
- Single-shot readout of electron spin states in a quantum dot using spin-dependent tunnel rates
- Enhancing the Coherence of a Spin Qubit by Operating it as a Feedback Loop That Controls its Nuclear Spin Bath
- Electron spin decoherence of single Nitrogen-Vacancy defects in diamond
- How to perform the most accurate possible phase measurements
- Optical pumping of quantum dot nuclear spins
- Nuclear spin state narrowing via gate--controlled Rabi oscillations in a double quantum dot
- Violation of a temporal Bell inequality for single spins in solid by over 50 standard deviations
- Line Broadening and Decoherence of Electron Spins in Phosphorus-Doped Silicon Due to Environmental 29^Si Nuclear Spins
- Quantum measurement of a mesoscopic spin ensemble
- Nanoscale magnetometry using a single spin system in diamond
- Parameter Estimation with Mixed-State Quantum Computation
Cited by in corpus (24)
- Quantum sensing
- Efficient Bayesian Phase Estimation
- Optimized quantum sensing with a single electron spin using real-time adaptive measurements
- Learning Quantum Systems
- Stable Three-Axis Nuclear Spin Gyroscope in Diamond
- Manipulating a qubit through the backaction of sequential partial measurements and real-time feedback
- Learning in Quantum Control: High-Dimensional Global Optimization for Noisy Quantum Dynamics
- High-sensitivity, spin-based electrometry with an ensemble of nitrogen-vacancy centers in diamond
- Maximizing information on the environment by dynamically controlled qubit probes
- Bayesian estimation for quantum sensing in the absence of single-shot detection
- Free induction decay of single spins in diamond
- Sequential measurements for quantum-enhanced magnetometry in spin chain probes
- Adaptive tracking of a time-varying field with a quantum sensor
- Amplitude and frequency sensing of microwave fields with a superconducting transmon qudit
- Environment Assisted Metrology with Spin Qubit
- Ground-State Cooling of Levitated Magnets in Low-Frequency Traps
- Swarm optimization for adaptive phase measurements with low visibility
- Experimental Hamiltonian Learning of An 11-qubit Solid-State Quantum Spin Register
- Extending qubit coherence by adaptive quantum environment learning
- Simplified algorithms for adaptive experiment design in parameter estimation
- Resource-efficient adaptive Bayesian tracking of magnetic fields with a quantum sensor
- Real-time adaptive estimation of decoherence timescales for a single qubit
- Real-time frequency estimation of a qubit without single-shot-readout
- Sequential Bayesian experiment design for adaptive Ramsey sequence measurements