Fetching the paper…
Reading the bibliography…
With the significant advancement in quantum computation in the past couple of decades, the exploration of machine-learning subroutines using quantum strategies has become increasingly popular.
Some studies in machine learning using the game of checkers
Arthur L. Samuel · 1959
Earlier work this paper cites.
Quantum computation over continuous variables
Seth Lloyd and Samuel L. Braunstein · 1999
Earlier work this paper cites.
Quantum computation and Quantum information
Michael A. Nielsen and Isaac L. Chuang · 2000
Earlier work this paper cites.
Quantum information and computation
Charles H. Bennett and David P. DiVincenzo · 2000
Earlier work this paper cites.
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Carl Edward Rasmussen and Christopher K. I. Williams · 2005
Earlier work this paper cites.
Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
Earlier work this paper cites.
Architectures for a quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
Earlier work this paper cites.
Quantum algorithm for linear systems of equations
Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd · 2009
Earlier work this paper cites.
A sparse covariance function for exact gaussian process inference in large datasets
Arman Melkumyan and Fabio Ramos · 2009
Cited alongside, same era.
Towards fully autonomous driving: Systems and algorithms
Jesse Levinson, Jake Askeland, Jan Becker, Jennifer Dolson, David Held, Soeren Kammel, J. Zico Kolter, Dirk Langer, Oliver Pink, Vaughan Pratt, et al · 2011
Cited alongside, same era.
Gaussian quantum information
Christian Weedbrook, Stefano Pirandola, Raúl García-Patrón, Nicolas J. Cerf, Timothy C. Ralph, Jeffrey H. Shapiro, and Seth Lloyd · 2012
Cited alongside, same era.
Schrödinger’s killer app: race to build the world’s first quantum computer
Jonathan P. Dowling · 2013
Cited alongside, same era.
Exponential improvement in precision for simulating sparse hamiltonians
Dominic W. Berry, Andrew M. Childs, Richard Cleve, Robin Kothari, and Rolando D. Somma · 2014
Cited alongside, same era.
Machine learning applications in genetics and genomics
Read the fine print
Scott Aaronson · 2015
Later among the works it cites.
Repeat-until-success cubic phase gate for universal continuous-variable quantum computation
Kevin Marshall, Raphael Pooser, George Siopsis, and Christian Weedbrook · 2015
Later among the works it cites.
Quantum algorithms: an overview
Ashley Montanaro · 2016
Later among the works it cites.
Quantum machine learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2017
Closest in time.
Quantum algorithm for systems of linear equations with exponentially improved dependence on precision
Andrew M. Childs, Robin Kothari, and Rolando D. Somma · 2017
Closest in time.
Quantum machine learning over infinite dimensions
Hoi-Kwan Lau, Raphael Pooser, George Siopsis, and Christian Weedbrook · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Maxwell W. Libbrecht and William Stafford Noble · 2015
Cited alongside, same era.
Quantum assisted gaussian process regression
Zhikuan Zhao, Jack K. Fitzsimons, and Joseph F. Fitzsimons · 2015
Cited alongside, same era.
Closest in time.
Quantum singular-value decomposition of nonsparse low-rank matrices
Patrick Rebentrost, Adrian Steffens, Iman Marvian, and Seth Lloyd · 2018
Closest in time.