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The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications.
Density matrix formulation for quantum renormalization groups
Steven R White · 1992
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Exponential algorithmic speedup by a quantum walk
Andrew M. Childs, Richard Cleve, Enrico Deotto, Edward Farhi, Sam Gutmann, and Daniel A. Spielman · 2003
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Transformation of quantum states using uniformly controlled rotations
Mikko Möttönen, Juha J. Vartiainen, Ville Bergholm, and Martti M. Salomaa · 2005
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An introduction to cartan’s kak decomposition for qc programmers, 2005
Robert R. Tucci · 2005
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Randomized benchmarking of quantum gates
E. Knill, D. Leibfried, R. Reichle, J. Britton, R. B. Blakestad, J. D. Jost, C. Langer, R. Ozeri, S. Seidelin, and D. J. Wineland · 2008
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Quantum algorithm for linear systems of equations
Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd · 2009
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Scalable and robust randomized benchmarking of quantum processes
Easwar Magesan, J. M. Gambetta, and Joseph Emerson · 2011
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Characterization of addressability by simultaneous randomized benchmarking
Jay M Gambetta, AD Córcoles, Seth T Merkel, Blake R Johnson, John A Smolin, Jerry M Chow, Colm A Ryan, Chad Rigetti, S Poletto, Thomas A Ohki, et al · 2012
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Quantum circuit design for solving linear systems of equations
Yudong Cao, Anmer Daskin, Steven Frankel, and Sabre Kais · 2012
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A quantum approximate optimization algorithm, 2014
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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URL https://github.com/SRI-International/QC-App-Oriented-Benchmarks
Application-Oriented Performance Benchmarks for Quantum Computing, 2015 · 2015
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Read the fine print
Scott Aaronson · 2015
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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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Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography
Robin Blume-Kohout, John King Gamble, Erik Nielsen, Kenneth Rudinger, Jonathan Mizrahi, Kevin Fortier, and Peter Maunz · 2017
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Quantum arithmetic with the quantum fourier transform
Lidia Ruiz-Perez and Juan Carlos Garcia-Escartin · 2017
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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
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Quantum linear systems algorithms: a primer, 2018
Danial Dervovic, Mark Herbster, Peter Mountney, Simone Severini, Naïri Usher, and Leonard Wossnig · 2018
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Generalized unitary coupled cluster wave functions for quantum computation
Joonho Lee, William J Huggins, Martin Head-Gordon, and K Birgitta Whaley · 2018
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Validating quantum computers using randomized model circuits
Andrew W. Cross, Lev S. Bishop, Sarah Sheldon, Paul D. Nation, and Jay M. Gambetta · 2019
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Computer Architecture: a Quantitative Approach
John L. Hennessy and Patterson · 2019
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Hybrid quantum linear equation algorithm and its experimental test on ibm quantum experience
Yonghae Lee, Jaewoo Joo, and Soojoon Lee · 2019
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Quantum chemistry as a benchmark for near-term quantum computers, 2019
Alexander J. McCaskey, Zachary P. Parks, Jacek Jakowski, Shirley V. Moore, T. Morris, Travis S. Humble, and Raphael C. Pooser · 2019
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Quantum chemistry in the age of quantum computing
Yudong Cao, Jonathan Romero, Jonathan P. Olson, Matthias Degroote, Peter D. Johnson, Mária Kieferová, Ian D. Kivlichan, Tim Menke, Borja Peropadre, Nicolas P. D. Sawaya, and et al · 2019
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Benchmarking neural networks for quantum computations
Nam H. Nguyen, E. C. Behrman, Mohamed A. Moustafa, and J. E. Steck · 2019
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Quantum convolutional neural networks
Iris Cong and Mikhail D. Choi, Soonwonand Lukin · 2019
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Measuring the capabilities of quantum computers, 2020
Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout · 2020
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Robust data encodings for quantum classifiers
Ryan LaRose and Brian Coyle · 2020
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Detecting crosstalk errors in quantum information processors
Mohan Sarovar, Timothy Proctor, Kenneth Rudinger, Kevin Young, Erik Nielsen, and Robin Blume-Kohout · 2020
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A volumetric framework for quantum computer benchmarks
Robin Blume-Kohout and Kevin C. Young · 2020
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An application benchmark for fermionic quantum simulations, 2020
Pierre-Luc Dallaire-Demers, Michał Stęchły, Jerome F. Gonthier, Ntwali Toussaint Bashige, Jonathan Romero, and Yudong Cao · 2020
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Exploring hilbert space on a budget: Novel benchmark set and performance metric for testing electronic structure methods in the regime of strong correlation, 2020
Nicholas H. Stair and Francesco A. Evangelista · 2020
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Ground-state energy estimation of the water molecule on a trapped-ion quantum computer
Yunseong Nam, Jwo-Sy Chen, Neal C Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R Brown, Stewart Allen, Jason M Amini, Joel Apisdorf, et al · 2020
Cited alongside, same era.
Generation of high-resolution handwritten digits with an ion-trap quantum computer
Manuel S. Rudolph, Ntwali Bashige Toussaint, Amara Katabarwa, Sonika Johri, Borja Peropadre, and Alejandro Perdomo-Ortiz · 2020
Cited alongside, same era.
Andrew Wack, Hanhee Paik, Ali Javadi-Abhari, Petar Jurcevic, Ismael Faro, Jay M. Gambetta, and Blake R. Johnson · 2021
Cited alongside, same era.
URL https://spec.org/
Standard Performance Evaluation Corporation, 2021 · 2021
Cited alongside, same era.
Measuring quantum volume, Aug 2021
The Qiskit Team · 2021
Cited alongside, same era.
Quantum convolutional neural network for classical data classification
Tak Hur, Leeseok Kim, and Daniel K. Park · 2022
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MQT Bench: Benchmarking Software and Design Automation Tools for Quantum Computing
Nils Quetschlich, Lukas Burgholzer, and Robert Wille · 2023
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Application-oriented benchmarking of quantum generative learning using quark, 2023
Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, and Andre Luckow · 2023
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Application-oriented performance benchmarks for quantum computing
Thomas Lubinski, Sonika Johri, Paul Varosy, Jeremiah Coleman, Luning Zhao, Jason Necaise, Charles H. Baldwin, Karl Mayer, and Timothy Proctor · 2023
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Benchmarking a trapped-ion quantum computer with 29 algorithmic qubits, 2023
Jwo-Sy Chen, Erik Nielsen, Matthew Ebert, Volkan Inlek, Kenneth Wright, Vandiver Chaplin, Andrii Maksymov, Eduardo Páez, Amrit Poudel, Peter Maunz, and John Gamble · 2023
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Benchmarking quantum chemistry computations with variational, imaginary time evolution, and krylov space solver algorithms, 2021
Kübra Yeter-Aydeniz, Bryan T. Gard, Jacek Jakowski, Swarnadeep Majumder, George S. Barron, George Siopsis, Travis Humble, and Raphael C. Pooser · 2021
Cited alongside, same era.
Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers
Vincent E Elfving, Marta Millaruelo, José A Gámez, and Christian Gogolin · 2021
Cited alongside, same era.
Scalable mitigation of measurement errors on quantum computers
Paul D. Nation, Hwajung Kang, Neereja Sundaresan, and Jay M. Gambetta · 2021
Cited alongside, same era.
Application-motivated, holistic benchmarking of a full quantum computing stack
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, and Ross Duncan · 2021
Cited alongside, same era.
Experimental deep reinforcement learning for error-robust gate-set design on a superconducting quantum computer
Yuval Baum, Mirko Amico, Sean Howell, Michael Hush, Maggie Liuzzi, Pranav Mundada, Thomas Merkh, Andre R.R. Carvalho, and Michael J. Biercuk · 2021
Cited alongside, same era.
Error-robust quantum logic optimization using a cloud quantum computer interface
Andre R. R. Carvalho, Harrison Ball, Michael J. Biercuk, Michael R. Hush, and Felix Thomsen · 2021
Cited alongside, same era.
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, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, and Jian-Wei Pan · 2021
Cited alongside, same era.
Later among the works it cites.
Step-by-step hhl algorithm walkthrough to enhance the understanding of critical quantum computing concepts, 2023
Hector Jose Morrell Jr au2, Anika Zaman, and Hiu Yung Wong · 2023
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Digital-analog co-design of the harrow-hassidim-lloyd algorithm
Ana Martin, Ruben Ibarrondo, and Mikel Sanz · 2023
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Hybrid hhl with dynamic quantum circuits on real hardware, 2023
Romina Yalovetzky, Pierre Minssen, Dylan Herman, and Marco Pistoia · 2023
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Ab initio quantum simulation of strongly correlated materials with quantum embedding
Changsu Cao, Jinzhao Sun, Xiao Yuan, Han-Shi Hu, Hung Q. Pham, and Dingshun Lv · 2023
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Hamlib: A library of hamiltonians for benchmarking quantum algorithms and hardware, 2023
Nicolas PD Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P Tabor, David Bernal, Alicia B Magann, Shavindra Premaratne, Pradeep Dubey, Anne Matsuura, Nathan Bishop, Wibe A de Jong, Simon Benjamin, Ojas D Parekh, Norm Tubman, Katherine Klymko, and Daan Camps · 2023
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Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers
Luning Zhao, Joshua Goings, Kyujin Shin, Woomin Kyoung, Johanna I Fuks, June-Koo Kevin Rhee, Young Min Rhee, Kenneth Wright, Jason Nguyen, Jungsang Kim, et al · 2023
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Molecular symmetry in vqe: A dual approach for trapped-ion simulations of benzene
Joshua Goings, Luning Zhao, Jacek Jakowski, Titus Morris, and Raphael Pooser · 2023
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https://q-ctrl.com/ , 2023
Q-CTRL web site · 2023
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Quantum error mitigation, 2023
Zhenyu Cai, Ryan Babbush, Simon C. Benjamin, Suguru Endo, William J. Huggins, Ying Li, Jarrod R. McClean, and Thomas E. O’Brien · 2023
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Error statistics and scalability of quantum error mitigation formulas
Dayue Qin, Yanzhu Chen, and Ying Li · 2023
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Volumetric Benchmarking of Error Mitigation with Qermit
Cristina Cirstoiu, Silas Dilkes, Daniel Mills, Seyon Sivarajah, and Ross Duncan · 2023
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Suppressing quantum circuit errors due to system variability
Paul D. Nation and Matthew Treinish · 2023
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Defining standard strategies for quantum benchmarks, 2023
Mirko Amico, Helena Zhang, Petar Jurcevic, Lev S. Bishop, Paul Nation, Andrew Wack, and David C. McKay · 2023
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Experimental benchmarking of an automated deterministic error-suppression workflow for quantum algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity, Yulun Wang, Thomas Merkh, T.M. Stace, Felicity Nielson, Andre R.R. Carvalho, Michael Hush, Michael J. Biercuk, and Yuval Baum · 2023
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Benchmarking adversarially robust quantum machine learning at scale
Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, and Muhammad Usman · 2023
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Generalization despite overfitting in quantum machine learning models
Evan Peters and Maria Schuld · 2023
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Contextuality and inductive bias in quantum machine learning, 2023
Joseph Bowles, Victoria J Wright, Máté Farkas, Nathan Killoran, and Maria Schuld · 2023
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Mosaiq: Quantum generative adversarial networks for image generation on nisq computers, 2023
Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, and Devesh Tiwari · 2023
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https://www.openml.org/search?type=data&sort=runs&id=554&status=active , 2023
Mnist database 784 · 2023
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https://scikit-learn.org/stable/ , 2023
Sci-kit sklearn · 2023
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A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Alán Aspuru-Guzik, and Jeremy L. O’Brien · 2041
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Out-of-distribution generalization for learning quantum dynamics
Matthias C. Caro, Hsin-Yuan Huang, Nicholas Ezzell, Joe Gibbs, Andrew T. Sornborger, Lukasz Cincio, Patrick J. Coles, and Zoë Holmes · 2041
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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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Nearest centroid classification on a trapped ion quantum computer
Sonika Johri, Shantanu Debnath, Avinash Mocherla, Alexandros SINGK, Anupam Prakash, Jungsang Kim, and Iordanis Kerenidis · 2056
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tket: a retargetable compiler for NISQ devices
Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, and Ross Duncan · 2058
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