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Vasil S. Denchev
Graduate Student
E-mail: lastname at gmail dot com
Office: HAAS 175 |
I am a Ph.D. candidate at Purdue University's Department of Computer Science.
I received my M.S. in Computer Science from Purdue University in 2009 and B.S. in Computer Science, Computational Science, and Mathematics from SUNY Brockport in 2006.
Research:
My advisor at Purdue is Prof. S.V.N. Vishwanathan.
I also work closely with Dr. Hartmut Neven of Google and collaborate with Dr. Geordie Rose and Dr. William G. Macready of D-Wave Systems, Inc.
I am interested in quantum information processing and machine learning. My dissertation work is focused on applying adiabatic quantum optimization to machine learning problems.
My CV: [pdf]
Conference Publications:
- QBoost: Large scale classifier training with adiabatic quantum optimization.
Hartmut Neven, Vasil S. Denchev, Geordie Rose, and William G. Macready.
Asian Conference on Machine Learning (ACML), 2012.
Oral presentation (acceptance rate 26%)
Best Poster Award Honorable Mention
[pdf]
- Robust classification with adiabatic quantum optimization.
Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, and Hartmut Neven.
International Conference on Machine Learning (ICML), 2012.
Oral presentation (acceptance rate 27%)
Oral presentation video
[pdf]
Technical Reports:
- NIPS 2009 demonstration: Binary classification using hardware implementation of quantum annealing.
Hartmut Neven, Vasil S. Denchev, Marshall Drew-Brook, Jiayong Zhang, William G. Macready, and Geordie Rose.
Neural Information Processing Systems (NIPS), 2009.
[pdf]
Workshops:
- Training a large scale classifier with the quantum adiabatic algorithm.
Hartmut Neven, Vasil S. Denchev, Geordie Rose, and William G. Macready.
Quantum Information Processing Workshop (QIP), 2010.
[pdf]
- Training a binary classifier with the quantum adiabatic algorithm.
Hartmut Neven, Vasil S. Denchev, Geordie Rose, and William G. Macready.
Optimization for Machine Learning (OPT) at Neural Information Processing Systems (NIPS), 2008.
OPT oral presentation video (with Dr. Hartmut Neven)
[pdf]
Journal Publications:
- Distributed quantum computing: A new frontier in distributed systems or science fiction?
Vasil S. Denchev and Gopal Pandurangan.
ACM SIGACT News, Vol. 39, No. 3, September 2008.
[pdf]
- Improving the performance of quantum key distribution apparatus.
Anton Zavriyev, Anthony Leverrier, Vasil S. Denchev, and Alexei Trifonov.
Special Issue (Single Photon) of the Journal of Modern Optics, Vol. 54, Nos. 2-3, Jan 2007, pp. 305-314.
Talks:
- Oral presentation at Asian Conference on Machine Learning (ACML),
Singapore, November 6, 2012.
- Oral presentation at International Conference on Machine Learning (ICML),
Edinburgh, UK, June 28, 2012.
Video
- Invited guest lectures at Purdue course Quantum Information and Computation,
West Lafayette, IN, April 7, 2011 and February 7, 2012.
- Invited technical talk at Purdue University Machine Learning Seminar,
West Lafayette, IN, March 4, 2010.
- Invited technical talk at MIT Quantum Information Science Seminar,
Cambridge, MA, February 22, 2010.
- Oral presentation with Dr. Hartmut Neven at Optimization for Machine Learning Workshop (OPT) at Neural Information Processing Systems (NIPS),
Whistler, BC, Canada, December 12, 2008.
Video
Google announcements about our work:
Media coverage of our work:
- Google Exploring Quantum Computing Algorithms, Physics Today
- Google Collaborates with D-Wave on Possible Quantum Image Search, Physorg
- Google Demonstrates Quantum Computer Image Search, New Scientist, Slashdot
- Google Demonstrates Quantum Algorithm Promising Superfast Search, Gizmodo, Popsci
- Google Demos Image Rec Quantum Computer, The Register
- Google in Superposition of Using, Not Using Quantum Computer, Ars Technica
Items of interest:
- At Purdue
- Scientific blogs that I follow
- Competitive programming