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Vasil S. Denchev
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2020 – today
- 2021
- [i4]Masoud Mohseni, Daniel Eppens, Johan Strümpfer, Raffaele Marino, Vasil S. Denchev, Alan K. Ho, Sergei V. Isakov, Sergio Boixo, Federico Ricci-Tersenghi, Hartmut Neven:
Nonequilibrium Monte Carlo for unfreezing variables in hard combinatorial optimization. CoRR abs/2111.13628 (2021)
2010 – 2019
- 2018
- [c3]Kostyantyn Kechedzhi, Vadim Smelyanskiy, Jarrod R. McClean, Vasil S. Denchev, Masoud Mohseni, Sergei Isakov, Sergio Boixo, Boris Altshuler, Hartmut Neven:
Efficient Population Transfer via Non-Ergodic Extended States in Quantum Spin Glass. TQC 2018: 9:1-9:16 - 2015
- [i3]Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven:
Totally Corrective Boosting with Cardinality Penalization. CoRR abs/1504.01446 (2015) - 2014
- [i2]Ryan Babbush, Vasil S. Denchev, Nan Ding, Sergei Isakov, Hartmut Neven:
Construction of non-convex polynomial loss functions for training a binary classifier with quantum annealing. CoRR abs/1406.4203 (2014) - 2013
- [b1]Vasil S. Denchev:
Binary classification with adiabatic quantum optimization. Purdue University, USA, 2013 - 2012
- [c2]Vasil S. Denchev, Nan Ding, S. V. N. Vishwanathan, Hartmut Neven:
Robust Classification with Adiabatic Quantum Optimization. ICML 2012 - [c1]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
QBoost: Large Scale Classifier Training with Adiabatic Quantum Optimization. ACML 2012: 333-348
2000 – 2009
- 2009
- [i1]Hartmut Neven, Vasil S. Denchev, Geordie Rose, William G. Macready:
Training a Large Scale Classifier with the Quantum Adiabatic Algorithm. CoRR abs/0912.0779 (2009) - 2008
- [j1]Vasil S. Denchev, Gopal Pandurangan:
Distributed quantum computing: a new frontier in distributed systems or science fiction? SIGACT News 39(3): 77-95 (2008)
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last updated on 2024-06-27 21:27 CEST by the dblp team
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