Application of optimal band-limited control protocols to quantum noise sensing

Abstract

Industrial, metrological, and medical applications provide a strong technological pull for advanced nanoscale sensors exploiting the unique sensitivity of quantum coherent systems to their environments. Essential to the functionality of these devices is the availability of control protocols which shape the sensor's response to the environment in frequency space. However, a key challenge in these applications is that common control routines result in out-of-band spectral leakage which complicates interpretation of the sensor's signal. In this work we demonstrate provably optimal narrowband control protocols ideally suited to quantum sensing. Our results, based on experiments with trapped ions using modulation in the form of discrete prolate spheroidal sequences (aka Slepian functions), demonstrate reduction of spectral leakage by orders of magnitude over conventional controls. We tune the narrowband sensitivity using concepts from RF engineering and experimentally reconstruct complex noise spectra using engineered noise for quantitative performance evaluation. We then deploy these techniques to identify previously immeasurable frequency-resolved amplitude noise in our qubit synthesis chain with calibrated sensitivity better than 0.001 dB.

Related work at http://www.physics.usyd.edu.au/~mbiercuk/Publications.html

References in corpus (7)

• Dynamical decoupling and noise spectroscopy with a superconducting flux qubit
• Experimental noise filtering by quantum control
• Multiqubit Spectroscopy of Gaussian Quantum Noise
• A General Transfer-Function Approach to Noise Filtering in Open-Loop Quantum Control
• Spurious harmonic response of multipulse quantum sensing sequences
• Single-Spin Spectrum-Analyzer for a Strongly Coupled Environment
• Experimental bath engineering for quantitative studies of quantum control

Cited by in corpus (50)

• Quantum Metrology with Strongly Interacting Spin Systems
• Robust Dynamic Hamiltonian Engineering of Many-Body Spin Systems
• Non-Gaussian noise spectroscopy with a superconducting qubit sensor
• Two-qubit spectroscopy of spatiotemporally correlated quantum noise in superconducting qubits
• Quantum Crosstalk Robust Quantum Control
• Optimally band-limited spectroscopy of control noise using a qubit sensor
• Beyond Quantum Noise Spectroscopy: modelling and mitigating noise with quantum feature engineering
• Multi-level Quantum Noise Spectroscopy
• Designing Filter Functions of Frequency-Modulated Pulses for High-Fidelity Two-Qubit Gates in Ion Chains
• Simultaneous spectral estimation of dephasing and amplitude noise on a qubit sensor via optimally band-limited control
• On the dynamics of initially correlated open quantum systems: theory and applications
• Frame-Based Filter-Function Formalism for Quantum Characterization and Control
• Bayesian Quantum Noise Spectroscopy
• Quantum oscillator noise spectroscopy via displaced cat states
• Extending comb-based spectral estimation to multiaxis quantum noise
• Noise-robust quantum sensing via optimal multi-probe spectroscopy
• Quantum nonlinear spectroscopy of single nuclear spins
• The dynamical-decoupling-based spatiotemporal noise spectroscopy
• Adiabatic two-qubit gates in capacitively coupled quantum dot hybrid qubits
• Accuracy of dynamical-decoupling-based spectroscopy of Gaussian noise
• The non-vanishing effect of detuning errors in dynamical decoupling based quantum sensing experiments
• Resource-efficient digital characterization and control of classical non-Gaussian noise
• Deep learning enhanced noise spectroscopy of a spin qubit environment
• Measuring environmental quantum noise exhibiting a non-monotonous spectral shape
• Ramsey Interferometry in Correlated Quantum Noise Environments
• Indications of a soft cutoff frequency in the charge noise of a Si/SiGe quantum dot spin qubit
• Quantum Control Noise Spectroscopy with Optimal Suppression of Dephasing
• Noise Detection with Spectator Qubits and Quantum Feature Engineering
• Machine learning classification of non-Markovian noise disturbing quantum dynamics
• SPAM-Robust Multi-axis Quantum Noise Spectroscopy in Temporally Correlated Environments
• SchWARMA: A model-based approach for time-correlated noise in quantum circuits
• Frequency estimation under non-Markovian spatially correlated quantum noise: Restoring superclassical precision scaling
• Information Theoretical Limits for Quantum Optimal Control Solutions: Error Scaling of Noisy Channels
• Path integral framework for characterizing and controlling decoherence induced by non-stationary environments on a quantum probe
• Reverse engineering of one-qubit filter functions with dynamical invariants
• Digital noise spectroscopy with a quantum sensor
• A Quantum Spectrometer for Arbitrary Noise
• Quantum Gates Robust to Secular Amplitude Drifts
• Sensing Out-of-Equilibrium and Quantum Non-Gaussian environments via induced Time-Reversal Symmetry Breaking on the quantum-probe dynamics
• Quantum spectral analysis by continuous measurement of Landau-Zener transitions
• Role of the filter functions in noise spectroscopy
• Accessing the Full Capabilities of Filter Functions: A Tool for Detailed Noise and Control Susceptibility Analysis
• Learning the noise fingerprint of quantum devices
• Open-loop quantum control of small-size networks for high-order cumulants and cross-correlations sensing
• Sensing microscopic noise events by frequent quantum measurements
• Sparse Non-Markovian Noise Modeling of Transmon-Based Multi-Qubit Operations
• Intrinsic and induced quantum quenches for enhancing qubit-based quantum noise spectroscopy
• Enhanced Quantum Signal Control and Sensing Under Multicolored Noise via Generalized Filter Function Framework
• Efficient learning and optimizing non-Gaussian correlated noise in digitally controlled qubit systems
• Universal Dephasing Noise Injection via Schrodinger Wave Autoregressive Moving Average Models