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Efficient quantum compiling tactics greatly enhance the capability of quantum computers to execute complicated quantum algorithms.
Dynamic programming
Richard Bellman · 1966
Earlier work this paper cites.
A formal basis for the heuristic determination of minimum cost paths
Peter E Hart, Nils J Nilsson, and Bertram Raphael · 1968
Earlier work this paper cites.
Modified policy iteration algorithms for discounted markov decision problems
Martin L Puterman and Moon Chirl Shin · 1978
Earlier work this paper cites.
Universal quantum simulators
Seth Lloyd · 1996
Earlier work this paper cites.
Reinforcement learning: A survey
Leslie Pack Kaelbling, Michael L Littman, and Andrew W Moore · 1996
Earlier work this paper cites.
Quantum computations: algorithms and error correction
A Yu Kitaev · 1997
Earlier work this paper cites.
Quantum circuits with mixed states
Dorit Aharonov, Alexei Kitaev, and Noam Nisan · 1998
Earlier work this paper cites.
Quantum Computation and Quantum Information
Michael A. Nielsen and Isaac L. Chuang · 2000
Earlier work this paper cites.
Planning as heuristic search
Blai Bonet and Héctor Geffner · 2001
Earlier work this paper cites.
Efficient discrete approximations of quantum gates
Aram W. Harrow, Benjamin Recht, and Isaac L. Chuang · 2002
Earlier work this paper cites.
A modular functor which is universal for quantum computation
Michael H Freedman, Michael Larsen, and Zhenghan Wang · 2002
Earlier work this paper cites.
The solovay-kitaev algorithm
Christopher M Dawson and Michael A Nielsen · 2005
Earlier work this paper cites.
Anyons in an exactly solved model and beyond
Alexei Kitaev · 2006
Earlier work this paper cites.
Non-abelian anyons and topological quantum computation
Chetan Nayak, Steven H. Simon, Ady Stern, Michael Freedman, and Sankar Das Sarma · 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.
Metrics for 3d rotations: Comparison and analysis
Du Q Huynh · 2009
Earlier work this paper cites.
Semidefinite programs for completely bounded norms
John Watrous · 2009
Earlier work this paper cites.
States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning
Jan Gläscher, Nathaniel Daw, Peter Dayan, and John P O’Doherty · 2010
Earlier work this paper cites.
Faster quantum chemistry simulation on fault-tolerant quantum computers
N Cody Jones, James D Whitfield, Peter L McMahon, Man-Hong Yung, Rodney Van Meter, Alán Aspuru-Guzik, and Yoshihisa Yamamoto · 2012
Earlier work this paper cites.
Superconducting circuits for quantum information: an outlook
Michel H Devoret and Robert J Schoelkopf · 2013
Earlier work this paper cites.
Asymptotically optimal approximation of single qubit unitaries by clifford and t circuits using a constant number of ancillary qubits
Vadym Kliuchnikov, Dmitri Maslov, and Michele Mosca · 2013
Earlier work this paper cites.
Fast and efficient exact synthesis of single-qubit unitaries generated by clifford and t gates
Vadym Kliuchnikov, Dmitri Maslov, and Michele Mosca · 2013
Earlier work this paper cites.
Floating point representations in quantum circuit synthesis
Nathan Wiebe and Vadym Kliuchnikov · 2013
Earlier work this paper cites.
Distillation protocols for fourier states in quantum computing, 2013
Cody Jones · 2013
Earlier work this paper cites.
Distillation of nonstabilizer states for universal quantum computation
Guillaume Duclos-Cianci and Krysta M. Svore · 2013
Earlier work this paper cites.
Efficient decomposition of single-qubit gates intovbasis circuits
Alex Bocharov, Yuri Gurevich, and Krysta M. Svore · 2013
Earlier work this paper cites.
Playing atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013
Earlier work this paper cites.
Exact synthesis of multiqubit clifford+tcircuits
Brett Giles and Peter Selinger · 2013
Earlier work this paper cites.
Quantum principal component analysis
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2014
Earlier work this paper cites.
Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd · 2014
Earlier work this paper cites.
Superconducting quantum circuits at the surface code threshold for fault tolerance
Rami Barends, Julian Kelly, Anthony Megrant, Andrzej Veitia, Daniel Sank, Evan Jeffrey, Ted C White, Josh Mutus, Austin G Fowler, Brooks Campbell, et al · 2014
Earlier work this paper cites.
Quantum simulation
Iulia M Georgescu, Sahel Ashhab, and Franco Nori · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Simulating hamiltonian dynamics with a truncated taylor series
Dominic W Berry, Andrew M Childs, Richard Cleve, Robin Kothari, and Rolando D Somma · 2015
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Optimal ancilla-free clifford+ v approximation of z-rotations
Neil J Ross · 2015
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Practical approximation of single-qubit unitaries by single-qubit quantum clifford and t circuits
Vadym Kliuchnikov, Dmitri Maslov, and Michele Mosca · 2015
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Efficient clifford+ t approximation of single-qubit operators
Peter Selinger · 2015
Universal quantum control through deep reinforcement learning
Murphy Yuezhen Niu, Sergio Boixo, Vadim N Smelyanskiy, and Hartmut Neven · 2019
Later among the works it cites.
Quantum logic gate synthesis as a markov decision process
M Sohaib Alam · 2019
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Reinforcement learning and optimal control
Dimitri Bertsekas · 2019
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Solving the rubik’s cube with deep reinforcement learning and search
Forest Agostinelli, Stephen McAleer, Alexander Shmakov, and Pierre Baldi · 2019
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Variational quantum simulation of general processes
Suguru Endo, Jinzhao Sun, Ying Li, Simon C Benjamin, and Xiao Yuan · 2020
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Topological quantum compiling with reinforcement learning
Yuan-Hang Zhang, Pei-Lin Zheng, Yi Zhang, and Dong-Ling Deng · 2020
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Efficient synthesis of probabilistic quantum circuits with fallback
Alex Bocharov, Martin Roetteler, and Krysta M. Svore · 2015
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Efficient synthesis of universal repeat-until-success quantum circuits
Alex Bocharov, Martin Roetteler, and Krysta M. Svore · 2015
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Machine learning: Trends, perspectives, and prospects
Michael I Jordan and Tom M Mitchell · 2015
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Scalable quantum simulation of molecular energies
Peter JJ O’Malley, Ryan Babbush, Ian D Kivlichan, Jonathan Romero, Jarrod R McClean, Rami Barends, Julian Kelly, Pedram Roushan, Andrew Tranter, Nan Ding, et al · 2016
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Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
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High-efficiency multiphoton boson sampling
Hui Wang, Yu He, Yu-Huai Li, Zu-En Su, Bo Li, He-Liang Huang, Xing Ding, Ming-Cheng Chen, Chang Liu, Jian Qin, et al · 2017
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Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, and Dacheng Tao · 2020
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Quantum walks on a programmable two-dimensional 62-qubit superconducting processor
Ming Gong, Shiyu Wang, Chen Zha, Ming-Cheng Chen, He-Liang Huang, Yulin Wu, Qingling Zhu, Youwei Zhao, Shaowei Li, Shaojun Guo, et al · 2021
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Strong quantum computational advantage using a superconducting quantum processor
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Realization of a bosonic antiferromagnet
Hui Sun, Bing Yang, Han-Yi Wang, Zhao-Yu Zhou, Guo-Xian Su, Han-Ning Dai, Zhen-Sheng Yuan, and Jian-Wei Pan · 2021
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Power of data in quantum machine learning
Hsin-Yuan Huang, Michael Broughton, Masoud Mohseni, Ryan Babbush, Sergio Boixo, Hartmut Neven, and Jarrod R McClean · 2021
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Experimental quantum generative adversarial networks for image generation
He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, et al · 2021
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Towards understanding the power of quantum kernels in the NISQ era
Xinbiao Wang, Yuxuan Du, Yong Luo, and Dacheng Tao · 2021
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On exploring practical potentials of quantum auto-encoder with advantages
Yuxuan Du and Dacheng Tao · 2021
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Sublinear quantum algorithms for estimating von neumann entropy
Tom Gur, Min-Hsiu Hsieh, and Sathyawageeswar Subramanian · 2021
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Robust self-testing of multiparticle entanglement
Dian Wu, Qi Zhao, Xue-Mei Gu, Han-Sen Zhong, You Zhou, Li-Chao Peng, Jian Qin, Yi-Han Luo, Kai Chen, Li Li, et al · 2021
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Efficient universal quantum compilation: An inverse-free solovay-kitaev algorithm
Adam Bouland and Tudor Giurgica-Tiron · 2021
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Quantum compiling by deep reinforcement learning, 2021
Lorenzo Moro, Matteo G. A. Paris, Marcello Restelli, and Enrico Prati · 2021
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Yoshua Bengio, Yann Lecun, and Geoffrey Hinton · 2021
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A* search without expansions: Learning heuristic functions with deep q-networks
Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, and Pierre Baldi · 2021
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Robust and resource-efficient quantum circuit approximation
Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, and Devesh Tiwari · 2021
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From pulses to circuits and back again: A quantum optimal control perspective on variational quantum algorithms
Alicia B. Magann, Christian Arenz, Matthew D. Grace, Tak-San Ho, Robert L. Kosut, Jarrod R. McClean, Herschel A. Rabitz, and Mohan Sarovar · 2021
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Reinforcement learning for digital quantum simulation
Adrien Bolens and Markus Heyl · 2021
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Quantum circuit optimization with deep reinforcement learning
Thomas Fösel, Murphy Yuezhen Niu, Florian Marquardt, and Li Li · 2021
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Quantum architecture search via deep reinforcement learning
En-Jui Kuo, Yao-Lung L Fang, and Samuel Yen-Chi Chen · 2021
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Weighted quantum channel compiling through proximal policy optimization
Weiyuan Gong, Si Jiang, and Dong-Ling Deng · 2021
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Efficient measure for the expressivity of variational quantum algorithms
Yuxuan Du, Zhuozhuo Tu, Xiao Yuan, and Dacheng Tao · 2022
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Efficient bipartite entanglement detection scheme with a quantum adversarial solver
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