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Title: Manipulating Multi-partite Entanglement Witnesses by using Linear Programming

Iran International Conference on Quantum Information Kish Island, Iran 7-10 September 2007. Title: Manipulating Multi-partite Entanglement Witnesses by using Linear Programming By: M.A. Jafarizadeh, G. Najarbashi, Y. Akbari, Hessam Habibian

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Title: Manipulating Multi-partite Entanglement Witnesses by using Linear Programming

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  1. Iran International Conference on Quantum Information Kish Island, Iran 7-10 September 2007 Title: Manipulating Multi-partite Entanglement Witnesses by using Linear Programming By:M.A. Jafarizadeh, G. Najarbashi, Y. Akbari, Hessam Habibian Department of Theoretical Physics and Astrophysics, Tabriz University, Tabriz 51664, Iran

  2. Outline • Motivation • Entanglement Witnesses & Convex Optimization • Manipulating Entanglement Witnesses by Linear Programming • Multi-partite Entanglement Witnesses • Optimality, Decomposability & Positive maps • Conclusion

  3. Motivation

  4. 1. Entanglement Witnesses

  5. NPPT separable PPT Bounded entangled states(BES) which can be detected by Non-Decomposable EWs but not PPT criteria.

  6. 3. Manipulating EWs by LP method

  7. 4. Multi-qudit Reduction type EWs Jafarizadeh, Najarbashi, Habibian: PRA_75_052326

  8. 4.1 Optimality and Decomposability of

  9. Decomposable ? Non-Decomposable

  10. 4.2 Positive Maps

  11. 5. Stabilizer EWs Jafarizadeh, Najarbashi, Akbari, Habibian, arXiv: 0704.2414v1

  12. Conclusion • The advantage of reducing manipulation of EWs to LP problem is to find optimal (Decomposable or Non-decomposable) EWs and it leads to detect larger areas of entanglement even when we solve our problem with approximated LP ones. • Studying Decomposable and Non-decomposable regions in multi-partite systems are so difficult which might be simplified by this method. • Multi-partite EWs open a new aspects to introduce many positive maps. Thanks for your attention Nonlinear Convex Optimization

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