Related Experiment Video
Updated: Jan 6, 2026

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
Experimental Measurement-Device-Independent Verification of Continuous-Variable Entanglement
Xutong Wang1, Jing Fu1, Jietai Jing1,2,3
1East China Normal University, State Key Laboratory of Precision Spectroscopy, Joint Institute of Advanced Science and Technology, School of Physics and Electronic Science, Shanghai 200062, China.
Researchers experimentally verified quantum entanglement independently of measurement devices. This work enhances the security of quantum information processing and quantum networks by ensuring reliable entanglement verification.
Area of Science:
- Quantum Information Science
- Experimental Quantum Physics
Background:
- Quantum entanglement is crucial for quantum information technologies.
- Verifying entanglement reliably is challenging with unreliable measurement devices.
Purpose of the Study:
- To experimentally demonstrate measurement-device-independent verification of continuous-variable (CV) entanglement.
- To address the limitations of conventional entanglement witnesses with unreliable devices.
Main Methods:
- Implementation of a measurement-device-independent entanglement witness for CV entanglement.
- Experimental demonstration of the witness's robustness against local oscillator power and phase fluctuations.
Main Results:
- Conventional CV entanglement witnesses can misidentify separable states as entangled when devices are unreliable.
- The developed measurement-device-independent witness reliably verifies CV entanglement even with imperfect devices.
Conclusions:
- This method eliminates the need for trusted measurement devices in CV entanglement verification.
- Advances practical implementation of high-security quantum information processing and quantum networks.
Related Concept Videos
Uncertainty in Measurement: Reading Instruments
Entropy Change in Reversible Processes
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Propagation of Uncertainty from Systematic Error
Standard Entropy Change for a Reaction
Propagation of Uncertainty from Random Error
Free Energy Changes for Nonstandard States

