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We introduce Yao, an extensible, efficient open-source framework for quantum algorithm design.
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Evaluating Derivatives
Andreas Griewank and Andrea Walther · 2008
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An extended collection of matrix derivative results for forward and reverse mode algorithmic differentiation
Mike Giles · 2008
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Simulating quantum computation by contracting tensor networks
Igor L Markov and Yaoyun Shi · 2008
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Operator fidelity susceptibility: An indicator of quantum criticality
Xiaoguang Wang, Zhe Sun, and Z. D. Wang · 2009
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Quantum Computation and Quantum Information
Michael A Nielsen and Isaac L Chuang · 2010
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Julia: A fast dynamic language for technical computing
Jeff Bezanson, Stefan Karpinski, Viral B Shah, and Alan Edelman · 2012
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A kernel two-sample test
Arthur Gretton, Karsten M Borgwardt, Malte J Rasch, Bernhard Schölkopf, and Alexander Smola · 2012
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Quipper: a scalable quantum programming language
Alexander S Green, Peter LeFanu Lumsdaine, Neil J Ross, Peter Selinger, and Benoît Valiron · 2013
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A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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The ZX-calculus is complete for stabilizer quantum mechanics
Miriam Backens · 2014
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Progress towards practical quantum variational algorithms
Dave Wecker, Matthew B Hastings, and Matthias Troyer · 2015
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Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems
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“Why is Julia fast? Can it be faster?” 2015, JuliaCon India
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The theory of variational hybrid quantum-classical algorithms
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
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Scalable quantum simulation of molecular energies
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Robust benchmarking in noisy environments
Jiahao Chen and Jarrett Revels · 2016
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A practical quantum instruction set architecture
Robert S Smith, Michael J Curtis, and William J Zeng · 2016
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Supervised learning with tensor networks
Edwin Stoudenmire and David J Schwab · 2016
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High performance emulation of quantum circuits
Training of quantum circuits on a hybrid quantum computer
Daiwei Zhu et al · 2019
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Robust implementation of generative modeling with parametrized quantum circuits
Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz, and Oscar Perdomo · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Zygote: A differentiable programming system to bridge machine learning and scientific computing
Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckus, Elliot Saba, Viral B Shah, and Will Tebbutt · 2019
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Qiskit: An open-source framework for quantum computing, 2019
Héctor Abraham et al · 2019
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Thomas Häner, Damian S Steiger, Mikhail Smelyanskiy, and Matthias Troyer · 2016
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The reversible residual network: Backpropagation without storing activations
Aidan N Gomez, Mengye Ren, Raquel Urtasun, and Roger B Grosse · 2017
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Hybrid quantum-classical approach to quantum optimal control
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun · 2017
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0.5 petabyte simulation of a 45-qubit quantum circuit
Thomas Häner and Damian S Steiger · 2017
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Breaking the 49-qubit barrier in the simulation of quantum circuits
Edwin Pednault, John A Gunnels, Giacomo Nannicini, Lior Horesh, Thomas Magerlein, Edgar Solomonik, and Robert Wisnieff · 2017
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Open quantum assembly language
Andrew W Cross, Lev S Bishop, John A Smolin, and Jay M Gambetta · 2017
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Simulation of low-depth quantum circuits as complex undirected graphical models
Sergio Boixo, Sergei V Isakov, Vadim N Smelyanskiy, and Hartmut Neven · 2017
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Overview and Comparison of Gate Level Quantum Software Platforms
Ryan LaRose · 2019
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Differentialequations.jl – a performant and feature-rich ecosystem for solving differential equations in julia
Christopher Rackauckas and Qing Nie · 2019
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Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
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Alibaba cloud quantum development kit: Large-scale classical simulation of quantum circuits
Fang Zhang et al · 2019
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Quantum supremacy using a programmable superconducting processor
Frank Arute et al · 2019
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Learning and inference on generative adversarial quantum circuits
Jinfeng Zeng, Yufeng Wu, Jin-Guo Liu, Lei Wang, and Jiangping Hu · 2019
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eqasm: An executable quantum instruction set architecture
Xiang Fu et al · 2019
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Efficient template matching in quantum circuits
Raban Iten, David Sutter, and Stefan Woerner · 2019
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Reducing T-count with the ZX-calculus
Aleks Kissinger and John van de Wetering · 2019
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General-purpose quantum circuit simulator with projected entangled-pair states and the quantum supremacy frontier
Chu Guo, Yong Liu, Min Xiong, Shichuan Xue, Xiang Fu, Anqi Huang, Xiaogang Qiang, Ping Xu, Junhua Liu, Shenggen Zheng, He-Liang Huang, Mingtang Deng, Dario Poletti, Wan-Su Bao, and Junjie Wu · 2019
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Tree tensor networks for generative modeling
Song Cheng, Lei Wang, Tao Xiang, and Pan Zhang · 2019
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Expressive power of tensor-network factorizations for probabilistic modeling
Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, and Ignacio Cirac · 2019
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Variational fast forwarding for quantum simulation beyond the coherence time, 2019
Cristina Cirstoiu, Zoe Holmes, Joseph Iosue, Lukasz Cincio, Patrick J. Coles, and Andrew Sornborger · 2019
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Openfermion: The electronic structure package for quantum computers, jun 2020
Jarrod R. McClean et al · 2020
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PyZX: Large Scale Automated Diagrammatic Reasoning
Aleks Kissinger and John van de Wetering · 2020
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Contracting arbitrary tensor networks: general approximate algorithm and applications in graphical models and quantum circuit simulations
Feng Pan, Pengfei Zhou, Sujie Li, and Pan Zhang · 2020
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Modeling sequences with quantum states: a look under the hood
Tai-Danae Bradley, E M Stoudenmire, and John Terilla · 2020
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Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2041
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Quest and high performance simulation of quantum computers
Tyson Jones, Anna Brown, Ian Bush, and Simon C. Benjamin · 2045
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A generative modeling approach for benchmarking and training shallow quantum circuits
Marcello Benedetti, Delfina Garcia-Pintos, Oscar Perdomo, Vicente Leyton-Ortega, Yunseong Nam, and Alejandro Perdomo-Ortiz · 2056
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Variational quantum state diagonalization
Ryan LaRose, Arkin Tikku, Étude O’Neel-Judy, Lukasz Cincio, and Patrick J. Coles · 2056
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Parameterized quantum circuits as machine learning models
Marcello Benedetti, Erika Lloyd, Stefan Sack, and Mattia Fiorentini · 2058
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A quantum-classical cloud platform optimized for variational hybrid algorithms
Peter J Karalekas, Nikolas A Tezak, Eric C Peterson, Colm A Ryan, Marcus P da Silva, and Robert S Smith · 2058
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Towards quantum machine learning with tensor networks
William James Huggins, Piyush Patil, Bradley Mitchell, K Birgitta Whaley, and Miles Stoudenmire · 2058
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