Elham Kashefi

Elham Kashefi (Persian: الهام کاشفی‎) is a Professor of Computer Science and Personal Chair in quantum computing at the School of Informatics at the University of Edinburgh, and a Centre national de la recherche scientifique (CNRS) researcher at the Sorbonne University.[3] Her work has included contributions to quantum cryptography, verification of quantum computing, and cloud quantum computing.[1][4]

Elham Kashefi
EducationAboureihan High School
Alma materSharif University of Technology (BSc, MSc)
Imperial College London (PhD)
Scientific career
FieldsQuantum cloud
Quantum cryptography[1]
InstitutionsUniversity of Edinburgh
University of Oxford
Sorbonne University
ThesisComplexity Analysis and Semantics for Quantum Computation (2003)
Doctoral advisorVlatko Vedral[2]
Steffen van Bakel[2]
Websitewww.inf.ed.ac.uk/people/staff/Elham_Kashefi.html

Early life and education

Kashefi went to school at the Aboureihan High School in Tehran. She studied applied mathematics at Sharif University of Technology earning her bachelor's degree at Sharif University of Technology in 1996 and her master's degree in 1998. Kashefi was a doctoral student at Imperial College London, and completed her PhD in 2003 supervised by Vlatko Vedral and Steffen van Bakel.[2][5][6]

Career and research

After completing her PhD Kashefi was selected as a Junior Research Fellow at Christ Church, Oxford. Here she worked on the foundational structures of quantum computation.[7] She was a research fellow at the Institute for Quantum Computing during 2005, before moving to Massachusetts Institute of Technology as a visiting scientist.[7] Here she worked on depth complexity and parallel computing.[7] Kashefi was appointed a lecturer at the University of Edinburgh in 2007.[7] She holds an established career fellowship in quantum computing from the Engineering and Physical Sciences Research Council (EPSRC),[8][9] a Personal Chair at the University of Edinburgh, and is a Centre national de la recherche scientifique (CNRS) researcher at the Sorbonne University.[3]

Much of her research considers quantum cryptography and verification of quantum protocols. Her research looks to validate and verify quantum technologies, from computers to simulators to gadgets.[8][10] Notably she was one of the originators of Universal Blind Computing[11] which was the first protocol to permit privacy protection during general quantum computations.[12][13] She believes that to achieve secure communications in a data-dependent society will require a combination of classical cryptography and quantum cryptography.[14]

Kashefi has also contributed to the development of quantum cloud computing.[15] In 2017 she co-founded VeriQloud, a software provider for quantum networks.[16] Working with members of the quantum computing community, Kashefi co-founded the national quantum networks QUantum OXford Imperial College (QuOxIC) and Quantum Information Scotland Network (QUISCO).[17][18] These hubs combine physicists and computer scientists to work together on quantum science.[13]

Selected publications

Her publications[1][4] include;

  • Universal blind quantum computation[11]
  • Demonstration of Blind Quantum Computing[12]
  • The measurement calculus[19]

Awards and honours

She was elected to the Young Academy of Scotland.[6]

gollark: The EARN IT thing? They really do love trying that sort of thing.
gollark: I'm fairly sure there's already more efficient ECC at some layer. Your idea would triple the data rate required.
gollark: I like AMD, I just tried to pick the closest equivalent to the pictured thing.
gollark: For basically the same price you can get twice the RAM, a better GPU, and more storage, if you build yourself.
gollark: https://pcpartpicker.com/guide/MNwrxr/modest-intel-gaming-build

References
  1. Elham Kashefi publications indexed by Google Scholar
  2. Elham Kashefi at the Mathematics Genealogy Project
  3. "Professor Elham Kashefi - Networks of evidence and expertise for public policy". csap.cam.ac.uk. Retrieved 2019-08-31.
  4. Elham Kashefi at DBLP Bibliography Server
  5. Kashefi, Elham (2003). Complexity analysis and semantics for quantum computation. imperial.ac.uk (PhD thesis). Imperial College London. hdl:10044/1/11786. OCLC 1001162468. EThOS uk.bl.ethos.409345.
  6. "Elham Kashefi - Edinburgh Research Explorer". research.ed.ac.uk. Retrieved 2019-08-31.
  7. "Informatics News: Elham Kashefi". homepages.inf.ed.ac.uk. Retrieved 2019-08-31.
  8. "EPSRC's Fellows to lead UK's Quantum Tech quest - EPSRC website". epsrc.ukri.org. Retrieved 2019-08-31.
  9. Anon (2019). "UK Quantum Technology Hub: NQIT - Networked Quantum Information Technologies". gow.epsrc.ukri.org. Retrieved 2019-08-31.
  10. Kashefi, Elham. "Verification of Quantum Technology". gtr.ukri.org. Retrieved 2019-08-31.
  11. Kashefi, Elham; Fitzsimons, Joseph; Broadbent, Anna (2009). "Universal blind quantum computation". IEEE Symposium on Foundations of Computer Science: 517–526. arXiv:0807.4154. doi:10.1109/FOCS.2009.36. ISBN 978-1-4244-5116-6.
  12. Barz, Stephanie; Kashefi, Elham; Broadbent, Anna; Fitzimoons, Joseph; Zeilinger, Anton; Walther, Philip (2012). "Demonstration of Blind Quantum Computing". Science. 335 (6066): 303–308. arXiv:1110.1381. doi:10.1126/science.1214707. PMID 22267806.
  13. "Elham Kashefi". sites.eca.ed.ac.uk. Retrieved 2019-08-31.
  14. Diamanti, Eleni; Kashefi, Elham (2017). "Best of both worlds" (PDF). Nature Physics. 13: 3–4. doi:10.1038/nphys3972. ISSN 1745-2481.
  15. "Elham Kashefi | Simons Institute for the Theory of Computing". simons.berkeley.edu. Retrieved 2019-08-31.
  16. "VeriQloud". veriqloud.com. Retrieved 2019-08-31.
  17. "Professor Elham Kashefi | NQIT". nqit.ox.ac.uk. Retrieved 2019-08-31.
  18. "University of Edinburgh". quisco.org.uk. Retrieved 2019-08-31.
  19. Kashefi, Elham; Danos, Vincent; Panangaden, Prakash (2007). "The measurement calculus". Journal of the ACM. 54 (2): 8–es. doi:10.1145/1219092.1219096.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.