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Updated: Oct 16, 2025
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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
Published on: September 5, 2019
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Computable and Operationally Meaningful Multipartite Entanglement Measures.
Jacob L Beckey1,2,3,4, N Gigena5, Patrick J Coles1,4
1Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA.
Physical Review Letters
|October 15, 2021
Summary
We introduce concentratable entanglements, a new family of measures for quantifying multipartite entanglement. These measures are robust against local operations and can be efficiently estimated on quantum computers.
Area of Science:
- Quantum Information Science
- Quantum Physics
Background:
- Multipartite entanglement is crucial for quantum technologies like computing and communication.
- Quantifying and characterizing multipartite entanglement is essential for its effective utilization.
Purpose of the Study:
- To introduce a general framework for quantifying multipartite entanglement.
- To define a new family of entanglement measures called concentratable entanglements.
Main Methods:
- Developing a general framework for multipartite entanglement measures.
- Proving the invariance of these measures under local operations and classical communication.
- Establishing an operational meaning via probabilistic concentration into Bell pairs.
- Implementing a parallelized SWAP test for efficient estimation on quantum computers.
Main Results:
- Introduced concentratable entanglements, encompassing several known entanglement measures.
- Demonstrated that these measures do not increase on average under local operations and classical communication.
- Provided an operational interpretation in terms of entanglement concentration.
- Showed efficient estimation of these measures using a parallelized SWAP test.
Conclusions:
- Concentratable entanglements offer a unified framework for quantifying multipartite entanglement.
- The developed measures are robust and have a clear operational meaning.
- Efficient estimation on quantum computers paves the way for practical multipartite entanglement characterization.
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