Oded Regev (computer scientist) explained

Oded Regev
Alma Mater:Tel Aviv University
Doctoral Advisor:Yossi Azar
Thesis Year:2001
Thesis Title:Scheduling and Load Balancing
Known For:Learning with errors

Oded Regev (Hebrew: עודד רגב ;born 1980 or 1979) is an Israeli-American theoretical computer scientist and mathematician. He is a professor of computer science at the Courant institute at New York University.[1] He is best known for his work in lattice-based cryptography, and in particular for introducing the learning with errors problem.

Biography

Oded Regev earned his B.Sc. in 1995, M.Sc. in 1997, and Ph.D. in 2001, all from Tel Aviv University. He completed his Ph.D. at the age of 21, advised by Yossi Azar, with a thesis titled "Scheduling and Load Balancing."[2] [3] He held faculty positions at Tel Aviv University and the École Normale Supérieure before joining the Courant institute.[4]

Work

Regev has done extensive work on lattices. He is best known for introducing the learning with errors problem (LWE), for which he won the 2018 Gödel Prize.[5] As the citation reads:

Regev’s work has ushered in a revolution in cryptography, in both theory and practice. On the theoretical side, LWE has served as a simple and yet amazingly versatile foundation for nearly every kind of cryptographic object imaginable—along with many that were unimaginable until recently, and which still have no known constructions without LWE. Toward the practical end, LWE and its direct descendants are at the heart of several efficient real-world cryptosystems.
Regev's most influential other work on lattices includes cryptanalysis of the GGH and NTRU signature schemes in joint work with Phong Q. Nguyen, for which they won a best paper award at Eurocrypt 2006; introducing the ring learning with errors problem in joint work with Chris Peikert and Vadim Lyubashevsky; and proving a converse to Minkowski's theorem and exploring its applications in joint works with his student Noah Stephens-Davidowitz and his former postdoc Daniel Dadush.[6] [7] [8] [9]

In addition to his work on lattices, Regev has also done work in a large number of other areas in theoretical computer science and mathematics. These include quantum computing, communication complexity, hardness of approximation, online algorithms, combinatorics, probability, and dimension reduction. He has also recently become interested in topics in biology, and particularly RNA splicing.[10] [11]

Regev is an associate editor in chief of the journal Theory of Computing,[12] and is a co-founder and organizer of the TCS+ online seminar series.[13]

In August 2023 Regev published a preprint[14] [15] [16] describing an algorithm to factor integers with

\simO(n3/2)

quantum gates which would be more efficient than Shor's algorithm which uses

\simO(n2)

, but would require more qubits

\simO(n3/2)

of quantum memory against Shor's

\simO(n)

. A variant has been proposed[17] that could reduce the space to around the same amount.

Notes and References

  1. Web site: . Courant Institute of Mathematical Sciences . Theoretical Computer Science Faculty listing . 2024-01-16.
  2. Web site: School of Computer Science Thesis Repository . . Tel Aviv University - Dept. of Computer Science . 2024-01-16.
  3. Web site: Scheduling and Load Balancing . Regev . Oded . Tel Aviv University . 2024-01-16.
  4. Web site: Oded Regev. . October 5, 2014. Simons Foundation.
  5. Web site: Chita . Efi . 2018 Gödel Prize . European Association for Theoretical Computer Science (EATCS) . 2024-01-16.
  6. Web site: IACR Publication Awards. . International Association for Cryptologic Research.
  7. Nguyen. Phong Q.. Regev. Oded. Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures. Journal of Cryptology. 22. 2. 2008. 139–160. 0933-2790. 10.1007/s00145-008-9031-0. 2164840. free.
  8. Book: Lyubashevsky. Vadim. Peikert. Chris. Regev. Oded. Advances in Cryptology – EUROCRYPT 2010. On Ideal Lattices and Learning with Errors over Rings. Lecture Notes in Computer Science. 6110. 2010. 1–23. 0302-9743. 10.1007/978-3-642-13190-5_1. 978-3-642-13189-9.
  9. Book: Dadush. Daniel. Regev. Oded. 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS). Towards Strong Reverse Minkowski-Type Inequalities for Lattices. 2016. 447–456. 10.1109/FOCS.2016.55. 1606.06913. 978-1-5090-3933-3. 16828584.
  10. Web site: Oded Regev. . Courant Institute of Mathematical Sciences .
  11. Web site: Oded Regev. scholar.google.com.
  12. Web site: Editors . Theory of Computing . 2024-01-16.
  13. Web site: TCS+. sites.google.com.
  14. Regev . Oded . 2023 . An Efficient Quantum Factoring Algorithm . 2308.06572. quant-ph.
  15. 'Surprising and super cool.' Quantum algorithm offers faster way to hack internet encryption . 2023-09-19 . 10.1126/science.adk9418 . en.
  16. Web site: Brubaker . Ben . 2023-10-17 . Thirty Years Later, a Speed Boost for Quantum Factoring . 2023-10-18 . Quanta Magazine . en.
  17. Ragavan . Seyoon . Vaikuntanathan . Vinod . 2023 . Optimizing Space in Regev's Factoring Algorithm . 2310.00899. quant-ph.