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Updated: Jan 22, 2026

Absolute Quantum Yield Measurement of Powder Samples
Published on: May 12, 2012
Distributed Quantum Multiparameter Estimation with Optimal Local Measurements
1European Laboratory for Nonlinear Spectroscopy (LENS), Istituto Nazionale di Ottica del Consiglio Nazionale delle Ricerche (CNR-INO), Largo Enrico Fermi 6, 50125 Firenze, Italy and , Via N. Carrara 1, 50019 Sesto Fiorentino, Italy.
This study shows a quantum sensor network using entangled states achieves optimal sensitivity for phase shift estimation. This entangled sensor network offers a significant gain over independent sensors, using fewer nonclassical states.
Area of Science:
- Quantum optics
- Quantum metrology
- Interferometry
Background:
- Mach-Zehnder interferometers (MZIs) are key quantum sensors.
- Achieving high sensitivity in multiparameter estimation is crucial.
- Nonclassical states can enhance quantum sensor performance.
Purpose of the Study:
- To investigate the multiparameter sensitivity bounds of a network of d Mach-Zehnder interferometers (MZIs).
- To determine if local measurements on MZIs can achieve the quantum Cramér-Rao bound.
- To compare the sensitivity of an entangled sensor network with independent MZIs.
Main Methods:
- Creating a d-mode entangled state by mixing a nonclassical state with vacuum states.
- Probing each MZI with a mode of the entangled state and a coherent state.
- Analyzing sensitivity bounds using local measurements and comparing with independent MZIs.
Main Results:
- Local measurements on the MZI network saturate the quantum Cramér-Rao bound.
- The sensor network overcomes the shot noise limit for estimating linear combinations of phase shifts.
- An entangled sensor network provides a sensitivity scaling of 1/n[over ¯]_{T}^{2}, offering a gain factor d over separable sensors.
Conclusions:
- A single nonclassical state in an entangled network achieves the same sensitivity as d nonclassical states in independent MZIs.
- The entangled protocol demonstrates a significant sensitivity advantage, especially for larger networks.
- This work highlights the power of entanglement for enhanced quantum sensing capabilities.
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