Testing the Wineland Criterion with Finite Statistics
E S Carrera1, Y Zhang1, J-D Bancal1
1Institut de Physique Théorique, CEA, Université Paris-Saclay, CNRS, 91191 Gif-sur-Yvette, France.
This study introduces a hypothesis-testing framework to detect spin-squeezed states using the Wineland parameter. Most experiments could not reject the null hypothesis of non-spin-squeezed states, indicating challenges in confirming spin squeezing with limited data.
Area of Science:
- Quantum metrology
- Atomic physics
- Statistical analysis
Background:
- The Wineland parameter is crucial for identifying spin-squeezed states, essential for metrology.
- Efficient practical estimation strategies and the impact of finite measurements on this parameter are not well-understood.
Purpose of the Study:
- To formulate spin squeezing detection as a hypothesis-testing problem.
- To derive bounds on the p-value for quantifying statistical evidence against non-spin-squeezed states.
- To address the effects of finite statistics in experimental measurements.
Main Methods:
- Formulating spin squeezing detection as a hypothesis-testing problem.
- Deriving upper and lower bounds on the p-value.
- Applying a statistical test to experimental data.
Main Results:
- In most experimental cases, the hypothesis of non-spin-squeezed states could not be rejected at a 5% significance level.
- An explicit non-spin-squeezed state was identified that reproduced experimental results with a p-value greater than 5%.
- The study provides a rigorous method for establishing statistical evidence of spin squeezing.
Conclusions:
- Current experimental data, under the proposed framework, often fails to provide strong evidence for spin-squeezed states.
- The developed statistical test offers a robust approach for future experiments to rigorously assess spin squeezing.
- Finite statistics significantly impact the ability to confirm spin-squeezed states using the Wineland parameter.
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