Quantum Machine Learning
19 papers for year 2007
Quantum Machine Learning Research Context
This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.
Showing 1-12 of 19
A nearly optimal discrete query quantum algorithm for evaluating NAND formulas
Andris Ambainis
2007
arXiv
arXiv preprint
A Review of Procedure to Evolve Quantum Procedures
Adrian Gepp, Phil Stocks
2007
arXiv
arXiv preprint
Database Manipulation on Quantum Computers
Ahmed Younes
2007
arXiv
arXiv preprint
Entanglement-Resistant Two-Prover Interactive Proof Systems and Non-Adaptive Private Information Retrieval Systems
Richard Cleve, Dmitry Gavinsky, Rahul Jain
2007
arXiv
arXiv preprint
Experimental local realism tests without fair sampling assumption
G. Brida, M. Genovese, F. Piacentini
2007
arXiv
arXiv preprint
Experimental Validation of Quantum Game Theory
Matthias Hanauske, Steffen Bernius, Wolfgang Köenig, Berndt Dugall
2007
arXiv
arXiv preprint
Exponential Separation of Quantum and Classical Non-Interactive Multi-Party Communication Complexity
Dmytro Gavinsky, Pavel Pudlák
2007
arXiv
arXiv preprint
Hybrid protocol of remote implementations of quantum operations
Ning Bo Zhao, An Min Wang
2007
arXiv
arXiv preprint
On causally asymmetric versions of Occam's Razor and their relation to thermodynamics
Dominik Janzing
2007
arXiv
arXiv preprint
On the Security of the Ping-Pong Protocol
Kim Bostroem, Timo Felbinger
2007
arXiv
arXiv preprint
Operational Semantics and Type Soundness of Quantum Programming Language LanQ
Hynek Mlnarik
2007
arXiv
arXiv preprint
Optimal quantum adversary lower bounds for ordered search
Andrew M. Childs, Troy Lee
2007
arXiv
arXiv preprint