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Quantum Computing (QC) claims to improve the efficiency of solving complex problems, compared to classical computing.
Über den anschaulichen Inhalt der quantentheoretischen Kinematik und Mechanik
W. Heisenberg · 1925
Earlier work this paper cites.
On the einstein podolsky rosen paradox
John S Bell · 1964
Earlier work this paper cites.
Proposed experiment to test local hidden-variable theories
John F Clauser, Michael A Horne, Abner Shimony, and Richard A Holt · 1969
Earlier work this paper cites.
The Born-Einstein Letters: Correspondence Between Albert Einstein and Max and Hedwig Born from 1916-1955, with Commentaries by Max Born
A. Einstein, M. Born, and H. Born · 1971
Earlier work this paper cites.
A method for obtaining digital signatures and public-key cryptosystems
R. L. Rivest, A. Shamir, and L. Adleman · 1978
Earlier work this paper cites.
Quantum generalizations of bell’s inequality
Boris S Cirel’son · 1980
Earlier work this paper cites.
Experimental test of bell’s inequalities using time-varying analyzers
Alain Aspect, Jean Dalibard, and Gérard Roger · 1982
Earlier work this paper cites.
Simulating physics with computers
Richard Feynmann · 1982
Earlier work this paper cites.
A single quantum cannot be cloned
W. K. Wootters and W. H. Zurek · 1982
Earlier work this paper cites.
Thermodynamics and an introduction to thermostatistics; 2nd ed
Herbert B Callen · 1985
Earlier work this paper cites.
Reversible logic and quantum computers
Asher Peres · 1985
Earlier work this paper cites.
Complexity classes in communication complexity theory
László Babai, Peter Frankl, and Janos Simon · 1986
Earlier work this paper cites.
Optimization, approximation, and complexity classes
Christos H. Papadimitriou and Mihalis Yannakakis · 1991
Earlier work this paper cites.
Algorithms for quantum computation: discrete logarithms and factoring
P.W. Shor · 1994
Earlier work this paper cites.
Elementary gates for quantum computation
Adriano Barenco, Charles H. Bennett, Richard Cleve, David P. DiVincenzo, Norman Margolus, Peter Shor, Tycho Sleator, John A. Smolin, and Harald Weinfurter · 1995
Earlier work this paper cites.
Scheme for reducing decoherence in quantum computer memory
Peter W. Shor · 1995
Earlier work this paper cites.
A fast quantum mechanical algorithm for database search
Lov K Grover · 1996
Earlier work this paper cites.
An exact quantum polynomial-time algorithm for simon’s problem
G. Brassard and P. Hoyer · 1997
Earlier work this paper cites.
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Peter W. Shor · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
Earlier work this paper cites.
The physical implementation of quantum computation
David P. DiVincenzo · 2000
Earlier work this paper cites.
Algorithm for data clustering in pattern recognition problems based on quantum mechanics
David Horn and Assaf Gottlieb · 2002
Earlier work this paper cites.
Decoherence-free subspaces and subsystems
Daniel A Lidar and K Birgitta Whaley · 2003
Earlier work this paper cites.
Machine learning in a quantum world
Esma Aïmeur, Gilles Brassard, and Sébastien Gambs · 2006
Earlier work this paper cites.
Quantum clustering algorithms
Esma Aïmeur, Gilles Brassard, and Sébastien Gambs · 2007
Earlier work this paper cites.
Quantum computational complexity
John Watrous · 2008
Earlier work this paper cites.
970 million druglike small molecules for virtual screening in the chemical universe database GDB-13
L. C. Blum and J.-L. Reymond · 2009
Earlier work this paper cites.
Wave-particle duality: A modern view
Bruce R. Wheaton · 2009
Earlier work this paper cites.
The computational complexity of linear optics
Scott Aaronson and Alex Arkhipov · 2011
Earlier work this paper cites.
Little’s law
John L. Gustafson and D. Padua · 2011
Earlier work this paper cites.
Scalable and robust randomized benchmarking of quantum processes
Easwar Magesan, Jay M Gambetta, and Joseph Emerson · 2011
Earlier work this paper cites.
Neural networks with quantum architecture and quantum learning
Massimo Panella and Giuseppe Martinelli · 2011
Earlier work this paper cites.
Enumeration of 166 billion organic small molecules in the chemical universe database GDB-17
Lars Ruddigkeit, Ruud van Deursen, Lorenz C. Blum, and Jean-Louis Reymond · 2012
Earlier work this paper cites.
Fast and accurate modeling of molecular atomization energies with machine learning
M. Rupp, A. Tkatchenko, K.-R. Müller, and O. A. von Lilienfeld · 2012
Earlier work this paper cites.
Quantum computing via the bethe ansatz
Yong Zhang · 2012
Earlier work this paper cites.
Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2013
Earlier work this paper cites.
Machine learning of molecular electronic properties in chemical compound space
Grégoire Montavon, Matthias Rupp, Vivekanand Gobre, Alvaro Vazquez-Mayagoitia, Katja Hansen, Alexandre Tkatchenko, Klaus-Robert Müller, and O Anatole von Lilienfeld · 2013
Earlier work this paper cites.
Quantum mechanics: a modern development
Leslie E Ballentine · 2014
Earlier work this paper cites.
A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
Earlier work this paper cites.
Quantum chemistry structures and properties of 134 kilo molecules
Raghunathan Ramakrishnan, Pavlo O Dral, Matthias Rupp, and O Anatole von Lilienfeld · 2014
Earlier work this paper cites.
An introduction to quantum machine learning
Maria Schuld, Ilya Sinayskiy, and Francesco Petruccione · 2014
Earlier work this paper cites.
Advances in quantum machine learning
Jeremy Adcock, Euan Allen, Matthew Day, Stefan Frick, Janna Hinchliff, Mack Johnson, Sam Morley-Short, Sam Pallister, Alasdair Price, and Stasja Stanisic · 2015
Earlier work this paper cites.
Quantum safe cryptography and security: An introduction, benefits, enablers and challengers
Matthew Campagna, Lidong Chen, Özgür Dagdelen, Jintai Ding, Jennifer K. Fernick, Nicolas Gisin, Donald Hayford, Thomas Jennewein, Norbert Lütkenhaus, Michele Mosca, Brian Neill, Mark Pecen, Ray Perlner, Grégoire Ribordy, John M. Schanck, Douglas Stebila, Nino Walenta, William Whyte, and Zhenfei Zhang · 2015
Earlier work this paper cites.
Significant-loophole-free test of bell’s theorem with entangled photons
Marissa Giustina, Marijn AM Versteegh, Sören Wengerowsky, Johannes Handsteiner, Armin Hochrainer, Kevin Phelan, Fabian Steinlechner, Johannes Kofler, Jan-Åke Larsson, Carlos Abellán, et al · 2015
Earlier work this paper cites.
Loophole-free bell inequality violation using electron spins separated by 1.3 kilometres
Bas Hensen, Hannes Bernien, Anaïs E Dréau, Andreas Reiserer, Norbert Kalb, Machiel S Blok, Just Ruitenberg, Raymond FL Vermeulen, Raymond N Schouten, Carlos Abellán, et al · 2015
Earlier work this paper cites.
Quantum speedup of monte carlo methods
Ashley Montanaro · 2015
Earlier work this paper cites.
Quantum algorithms: an overview
Ashley Montanaro · 2015
Earlier work this paper cites.
Electronic spectra from TDDFT and machine learning in chemical space
Raghunathan Ramakrishnan, Mia Hartmann, Enrico Tapavicza, and O. Anatole von Lilienfeld · 2015
Earlier work this paper cites.
Strong loophole-free test of local realism
Lynden K Shalm, Evan Meyer-Scott, Bradley G Christensen, Peter Bierhorst, Michael A Wayne, Martin J Stevens, Thomas Gerrits, Scott Glancy, Deny R Hamel, Michael S Allman, et al · 2015
Earlier work this paper cites.
Quantum optimization of fully connected spin glasses
Davide Venturelli, Salvatore Mandrà, Sergey Knysh, Bryan O’Gorman, Rupak Biswas, and Vadim Smelyanskiy · 2015
Earlier work this paper cites.
Measures and applications of quantum correlations
Gerardo Adesso, Thomas R Bromley, and Marco Cianciaruso · 2016
Earlier work this paper cites.
Measurement noise 100 times lower than the quantum-projection limit using entangled atoms
Onur Hosten, Nils J Engelsen, Rajiv Krishnakumar, and Mark A Kasevich · 2016
Earlier work this paper cites.
A practical quantum instruction set architecture
Robert S. Smith, Michael J. Curtis, and William J. Zeng · 2016
Earlier work this paper cites.
Post-quantum key exchange for the internet and the open quantum safe project
Douglas Stebila and Michele Mosca · 2016
Earlier work this paper cites.
Quantum machine learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2017
Earlier work this paper cites.
Quantum machine learning: a classical perspective
Carlo Ciliberto, Mark Herbster, Alessandro Davide Ialongo, Massimiliano Pontil, Andrea Rocchetto, Simone Severini, and Leonard Wossnig · 2017
Earlier work this paper cites.
Quantum sensing
C. L. Degen, F. Reinhard, and P. Cappellaro · 2017
Earlier work this paper cites.
Machine learning & artificial intelligence in the quantum domain
Vedran Dunjko and Hans J Briegel · 2017
Earlier work this paper cites.
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala, Antonio Mezzacapo, Kristan Temme, Maika Takita, Markus Brink, Jerry M Chow, and Jay M Gambetta · 2017
Earlier work this paper cites.
Quantum Annealing amid Local Ruggedness and Global Frustration
J. King, S. Yarkoni, J. Raymond, I. Ozfidan, A. D. King, M. Mohammadi Nevisi, J. P. Hilton, and C. C. McGeoch · 2017
Earlier work this paper cites.
Traffic flow optimization using a quantum annealer
Florian Neukart, Gabriele Compostella, Christian Seidel, David Von Dollen, Sheir Yarkoni, and Bob Parney · 2017
Earlier work this paper cites.
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
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Pennylane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh A. Izaac, Maria Schuld, Christian Gogolin, and Nathan Killoran · 2018
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Characterizing quantum supremacy in near-term devices
Sergio Boixo, Sergei V Isakov, Vadim N Smelyanskiy, Ryan Babbush, Nan Ding, Zhang Jiang, Michael J Bremner, John M Martinis, and Hartmut Neven · 2018
Earlier work this paper cites.
Analyzing the quantum annealing approach for solving linear least squares problems
Ajinkya Borle and Samuel J Lomonaco · 2018
Earlier work this paper cites.
Classification with quantum neural networks on near term processors
Edward Farhi and Hartmut Neven · 2018
Earlier work this paper cites.
Introduction to quantum mechanics
David J Griffiths and Darrell F Schroeter · 2018
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X-dnns: Systematic cross-layer approximations for energy-efficient deep neural networks
Muhammad Abdullah Hanif, Alberto Marchisio, Tabasher Arif, Rehan Hafiz, Semeen Rehman, and Muhammad Shafique · 2018
Earlier work this paper cites.
Recent developments and applications in quantum neural network: A review
Sumit Jeswal and S. Chakraverty · 2018
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Prunet: Class-blind pruning method for deep neural networks
Alberto Marchisio, Muhammad Abdullah Hanif, Maurizio Martina, and Muhammad Shafique · 2018
Earlier work this paper cites.
Barren plateaus in quantum neural network training landscapes
Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2018
Earlier work this paper cites.
Quantum metrology with nonclassical states of atomic ensembles
Luca Pezze, Augusto Smerzi, Markus K Oberthaler, Roman Schmied, and Philipp Treutlein · 2018
Earlier work this paper cites.
Quantum computing in the NISQ era and beyond
John Preskill · 2018
Earlier work this paper cites.
Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz
Jonathan Romero, Ryan Babbush, Jarrod R McClean, Cornelius Hempel, Peter J Love, and Alán Aspuru-Guzik · 2018
Earlier work this paper cites.
Supervised Learning with Quantum Computers
Maria Schuld and Francesco Petruccione · 2018
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Qflow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
Justyna P. Zwolak, Sandesh S. Kalantre, Xingyao Wu, Stephen Ragole, and Jacob M. Taylor · 2018
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Trapped-ion quantum computing: Progress and challenges
Colin D Bruzewicz, John Chiaverini, Robert McConnell, and Jeremy M Sage · 2019
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Quantum convolutional neural networks
Iris Cong, Soonwon Choi, and Mikhail D. Lukin · 2019
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Solving machine learning optimization problems using quantum computers
Venkat R. Dasari, Mee Seong Im, and Lubjana Beshaj · 2019
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Quantum supremacy using a programmable superconducting processor
Ryan Babbush et al. Frank Arute, Kunal Arya · 2019
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An initialization strategy for addressing barren plateaus in parametrized quantum circuits
Edward Grant, Leonard Wossnig, Mateusz Ostaszewski, and Marcello Benedetti · 2019
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Supervised learning with quantum-enhanced feature spaces
A survey on machine learning techniques using quantum computing
Manjunath T N, Adarsh Hiremath, Niranjanamurthy M, Sheng-Lung Peng, Shrihari M R, and Pushpa S K · 2022
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Toward real application of quantum sensing and metrology
Takeshi Ohshima · 2022
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Qdataset, quantum datasets for machine learning
Elija Perrier, Akram Youssry, and Chris Ferrie · 2022
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The ibm quantum development roadmap
IBM Quantum · 2022
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Review of some existing qml frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets
Nikolaos Schetakis, D. Aghamalyan, P. Griffin, and M. Boguslavsky · 2022
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Is quantum advantage the right goal for quantum machine learning?
Maria Schuld and Nathan Killoran · 2022
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Optimization of quantum circuit mapping using gate transformation and commutation
Toshinari Itoko, Rudy Raymond, Takashi Imamichi, and Atsushi Matsuo · 2019
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Strawberry Fields: A software platform for photonic quantum computing
Nathan Killoran, Josh Izaac, Nicol’as Quesada, Ville Bergholm, Matthew Amy, and Christian Weedbrook · 2019
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Quantum bits with josephson junctions
Anton Frisk Kockum and Franco Nori · 2019
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Quantum advantage in training binary neural networks
Yidong Liao, Daniel Ebler, Feiyang Liu, and Oscar Dahlsten · 2019
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Deep learning for edge computing: Current trends, cross-layer optimizations, and open research challenges
Alberto Marchisio, Muhammad Abdullah Hanif, Faiq Khalid, George Plastiras, Christos Kyrkou, Theocharis Theocharides, and Muhammad Shafique · 2019
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Quantum computing for finance: Overview and prospects
Román Orús, Samuel Mugel, and Enrique Lizaso · 2019
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The variational quantum eigensolver: A review of methods and best practices
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Antisite defect qubits in monolayer transition metal dichalcogenides
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A comprehensive survey on quantum machine learning and possible applications
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Power and limitations of single-qubit native quantum neural networks
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Moore’s law is dead, long live moore’s law!
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