.png){kind=icon}
Return
Efficient Bayesian phase estimation via entropy-based sampling
.png){kind=icon}
OA
AI
DOI：10.1088/2058-9565/ac74db.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Bayesian estimation approaches, which are capable of combining the information of experimental data from different likelihood functions to achieve high precisions, have been widely used in phase estimation via introducing a controllable auxiliary phase. Here, we present a Bayesian phase estimation (BPE) algorithm with an ingenious update rule of the auxiliary phase designed via entropy-based sampling. Unlike other adaptive BPE algorithms, the auxiliary phase in our algorithm is determined only once in a pre-estimation step. With simple statistical analysis on a small batch of data, an iteration rule for the auxiliary phase is pre-established and used in all afterward updates, instead of complex calculations in every update trails. During this pre-estimation process the most informative data can be selected, which guides one to perform the BPE with much less measurement times. As the measurement times for the same amount of Bayesian updates is significantly reduced, our algorithm via entropy-based sampling can work as efficient as other adaptive BPE algorithms and shares the advantages (such as wide dynamic range and perfect noise robustness) of non-adaptive BPE algorithms. Our algorithm is of promising applications in various practical quantum sensors such as atomic clocks and quantum magnetometers.
Keywords:
Bayesian phase estimation
Ramsey interferometry
entropy-based sampling
Journal
IF:
5
Papers:
1.4K
Citations:
5.1K
Organization
Cited Papers
Production of high brightnessγrays through backscattering of laser photons on high-energy electrons
OAAI
OAAIShareSaveHigh-dynamic-range magnetometry with a single nuclear spin in diamond.png)
NATURE NANOTECHNOLOGY
NATURE NANOTECHNOLOGYIF34.9
PREAI
ShareSavePost-adaptive reuse evaluation of heritage buildings using multi-criteria decision-making techniques
PREAI
ShareSavePotential biomarkers of bortezomib activity in mantle cell lymphoma from the phase 2 PINNACLE trial
PREAI
ShareSaveShareSaveShareSaveBayesian estimation for quantum sensing in the absence of single-shot detectionPHYSICAL REVIEW BOAAI
PHYSICAL REVIEW BIF3.7
OAAIShareSaveShareSaveShareSave
View more