Optimal probes for noise estimation in vector encoding channels show a descending staircase of entanglement with rising noise strength, with fully product states becoming optimal at high noise.
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UNVERDICTED 10representative citing papers
Radical-pair recombination yields in cryptochrome models achieve near-optimal but not fully optimal precision for geomagnetic field sensing compared to quantum Fisher information bounds.
Demonstration of wideband RF electric field sensing in a trapped ion via motional Raman transitions, achieving 3.4 dB below the standard quantum limit over a frequency range more than 800 times larger than prior QHO methods.
Repetitive Ramsey interferometry measurements allow direct sampling of n-point correlation functions of classical qubit noise processes.
Presents an efficient QPT protocol for thermal alkali-metal vapor qutrits that extracts physically admissible CPTP Liouvillian generators via Bloch-Fano representation and spectral regularization with experimental branch justification.
Initial quantum correlations among qubits enhance quantum Fisher information for temperature estimation in nonequilibrium Markovian thermalization, with early-time peaks and near-standard-quantum-limit performance for entangled states at high temperatures.
Non-Markovian local dissipative environments protect spin squeezing, enabling robust steady-state squeezing beyond the Born-Markov approximation.
A symmetry-informed adaptive Bayesian method for low-data quantum parameter estimation yields a five-fold reduction in fractional variance and requires only one-third the data points of standard procedures in an ultracold caesium atom experiment.
Multiensemble superradiance yields dark states with inter-ensemble entanglement whose covariance matrices in the large-N limit optimize multiparameter spin squeezing via the Rayleigh quotient of the squeezing matrix.
A Python library simulates NV center spin dynamics in diamond with a non-perturbative time-dependent Hamiltonian model that includes realistic pulse constraints and optical initialization/readout to predict fluorescence observables.
citing papers explorer
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Optimal quantum precision in noise estimation: Is entanglement necessary?
Optimal probes for noise estimation in vector encoding channels show a descending staircase of entanglement with rising noise strength, with fully product states becoming optimal at high noise.
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On the optimality of the radical-pair quantum compass
Radical-pair recombination yields in cryptochrome models achieve near-optimal but not fully optimal precision for geomagnetic field sensing compared to quantum Fisher information bounds.
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Quantum Vector Signal Analyzer: Wideband Electric Field Sensing via Motional Raman Transitions
Demonstration of wideband RF electric field sensing in a trapped ion via motional Raman transitions, achieving 3.4 dB below the standard quantum limit over a frequency range more than 800 times larger than prior QHO methods.
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Universal Characterization of Classical Qubit Noise
Repetitive Ramsey interferometry measurements allow direct sampling of n-point correlation functions of classical qubit noise processes.
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Quantum Process Tomography of a Thermal Alkali-Metal Vapor
Presents an efficient QPT protocol for thermal alkali-metal vapor qutrits that extracts physically admissible CPTP Liouvillian generators via Bloch-Fano representation and spectral regularization with experimental branch justification.
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Nonequilibrium thermometry via an ensemble of initially correlated qubits
Initial quantum correlations among qubits enhance quantum Fisher information for temperature estimation in nonequilibrium Markovian thermalization, with early-time peaks and near-standard-quantum-limit performance for entangled states at high temperatures.
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Protecting spin squeezing from decoherence
Non-Markovian local dissipative environments protect spin squeezing, enabling robust steady-state squeezing beyond the Born-Markov approximation.
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Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements
A symmetry-informed adaptive Bayesian method for low-data quantum parameter estimation yields a five-fold reduction in fractional variance and requires only one-third the data points of standard procedures in an ultracold caesium atom experiment.
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Multiensemble Superradiance for Distributed Quantum Sensing
Multiensemble superradiance yields dark states with inter-ensemble entanglement whose covariance matrices in the large-N limit optimize multiparameter spin squeezing via the Rayleigh quotient of the squeezing matrix.
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Digital Twin Simulations Toolbox of the Nitrogen-Vacancy Center in Diamond
A Python library simulates NV center spin dynamics in diamond with a non-perturbative time-dependent Hamiltonian model that includes realistic pulse constraints and optical initialization/readout to predict fluorescence observables.