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Variational quantum algorithms have emerged as a cornerstone of contemporary quantum algorithms research.
Optimizing qaoa: Success probability and runtime dependence on circuit depth
Murphy Yuezhen Niu, Sirui Lu, and Isaac L. Chuang · 1905
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Dynamical suppression of decoherence in two-state quantum systems
Lorenza Viola and Seth Lloyd · 1998
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V. E. Elfving, B. W. Broer, M. Webber, J. Gavartin, M. D. Halls, K. P. Lorton, and A. Bochevarov · 2009
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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 · 2014
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Progress towards practical quantum variational algorithms
Dave Wecker, Matthew B Hastings, and Matthias Troyer · 2015
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Universal gate-set for trapped-ion qubits using a narrow linewidth diode laser
Nitzan Akerman, Nir Navon, Shlomi Kotler, Yinnon Glickman, and Roee Ozeri · 2015
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Hybrid quantum-classical approach to correlated materials
Bela Bauer, Dave Wecker, Andrew J Millis, Matthew B Hastings, and Matthias Troyer · 2016
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High-fidelity quantum logic gates using trapped-ion hyperfine qubits
C. J. Ballance, T. P. Harty, N. M. Linke, M. A. Sepiol, and D. M. Lucas · 2016
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Noise tailoring for scalable quantum computation via randomized compiling
Joel J. Wallman and Joseph Emerson · 2016
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Quantum machine learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2017
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Error Mitigation for Short-Depth Quantum Circuits
Kristan Temme, Sergey Bravyi, and Jay M. Gambetta · 2017
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Efficient variational quantum simulator incorporating active error minimization
Ying Li and Simon C Benjamin · 2017
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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
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Assessing the progress of trapped-ion processors towards fault-tolerant quantum computation
A. Bermudez, X. Xu, R. Nigmatullin, J. O’Gorman, V. Negnevitsky, P. Schindler, T. Monz, U. G. Poschinger, C. Hempel, J. Home, F. Schmidt-Kaler, M. Biercuk, R. Blatt, S. Benjamin, and M. Müller · 2017
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Practical Quantum Error Mitigation for Near-Future Applications
Suguru Endo, Simon C. Benjamin, and Ying Li · 2018
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Demonstration of Fidelity Improvement Using Dynamical Decoupling with Superconducting Qubits
Bibek Pokharel, Namit Anand, Benjamin Fortman, and Daniel A. Lidar · 2018
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Quantum Circuit Learning
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa, and Keisuke Fujii · 2018
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Quantum algorithms for electronic structure calculations: Particle/hole Hamiltonian and optimized wavefunction expansions
Panagiotis Kl Barkoutsos, Jerome F. Gonthier, Igor Sokolov, Nikolaj Moll, Gian Salis, Andreas Fuhrer, Marc Ganzhorn, Daniel J. Egger, Matthias Troyer, Antonio Mezzacapo, Stefan Filipp, and Ivano Tavernelli · 2018
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High-fidelity control and entanglement of rydberg-atom qubits
Harry Levine, Alexander Keesling, Ahmed Omran, Hannes Bernien, Sylvain Schwartz, Alexander S. Zibrov, Manuel Endres, Markus Greiner, Vladan Vuletić, and Mikhail D. Lukin · 2018
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Cloud Quantum Computing of an Atomic Nucleus
E. F. Dumitrescu, A. J. McCaskey, G. Hagen, G. R. Jansen, T. D. Morris, T. Papenbrock, R. C. Pooser, D. J. Dean, and P. Lougovski · 2018
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QAOA for Max-Cut requires hundreds of qubits for quantum speed-up
Gian Giacomo Guerreschi and Anne Y Matsuura · 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, Sukin Sim, Libor Veis, and Alán Aspuru-Guzik · 2019
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Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
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Supervised learning with quantum-enhanced feature spaces
Vojtěch Havlíček, Antonio D Córcoles, Kristan Temme, Aram W Harrow, Abhinav Kandala, Jerry M Chow, and Jay M Gambetta · 2019
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Error mitigation extends the computational reach of a noisy quantum processor
Abhinav Kandala, Kristan Temme, Antonio D. Córcoles, Antonio Mezzacapo, Jerry M. Chow, and Jay M. Gambetta · 2019
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Benchmarking an 11-qubit quantum computer
K. Wright, K. M. Beck, S. Debnath, J. M. Amini, Y. Nam, N. Grzesiak, J.-S. Chen, N. C. Pisenti, M. Chmielewski, C. Collins, K. M. Hudek, J. Mizrahi, J. D. Wong-Campos, S. Allen, J. Apisdorf, P. Solomon, M. Williams, A. M. Ducore, A. Blinov, S. M. Kreikemeier, V. Chaplin, M. Keesan, C. Monroe, and J. Kim · 2019
Cited alongside, same era.
An adaptive variational algorithm for exact molecular simulations on a quantum computer
Harper R. Grimsley, Sophia E. Economou, Edwin Barnes, and Nicholas J. Mayhall · 2019
Cited alongside, same era.
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
Cited alongside, same era.
Trapped-ion quantum computing: Progress and challenges
Colin D. Bruzewicz, John Chiaverini, Robert McConnell, and Jeremy M. Sage · 2019
Cited alongside, same era.
Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator
Guido Pagano, Aniruddha Bapat, Patrick Becker, Katherine S. Collins, Arinjoy De, Paul W. Hess, Harvey B. Kaplan, Antonis Kyprianidis, Wen Lin Tan, Christopher Baldwin, Lucas T. Brady, Abhinav Deshpande, Fangli Liu, Stephen Jordan, Alexey V. Gorshkov, and Christopher Monroe · 2020
Unified approach to data-driven quantum error mitigation
Angus Lowe, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, and Lukasz Cincio · 2021
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Compact ion-trap quantum computing demonstrator
I. Pogorelov, T. Feldker, Ch. D. Marciniak, L. Postler, G. Jacob, O. Krieglsteiner, V. Podlesnic, M. Meth, V. Negnevitsky, M. Stadler, B. Höfer, C. Wächter, K. Lakhmanskiy, R. Blatt, P. Schindler, and T. Monz · 2021
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Universal variational quantum computation
Jacob Biamonte · 2021
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Qubit-ADAPT-VQE: An Adaptive Algorithm for Constructing Hardware-Efficient Ansätze on a Quantum Processor
Ho Lun Tang, V.O. Shkolnikov, George S. Barron, Harper R. Grimsley, Nicholas J. Mayhall, Edwin Barnes, and Sophia E. Economou · 2021
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Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, Jonathan Romero, Jérôme F Gonthier, and Alexander A Kunitsa · 2021
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Cited alongside, same era.
Understanding quantum control processor capabilities and limitations through circuit characterization
Anastasiia Butko, George Michelogiannakis, Samuel Williams, Costin Iancu, David Donofrio, John Shalf, Jonathan Carter, and Irfan Siddiqi · 2020
Cited alongside, same era.
On the universality of the quantum approximate optimization algorithm
Mauro ES Morales, JD Biamonte, and Zoltán Zimborás · 2020
Cited alongside, same era.
Reachability Deficits in Quantum Approximate Optimization
V. Akshay, H. Philathong, M. E.S. Morales, and J. D. Biamonte · 2020
Cited alongside, same era.
Polynomial scaling of the quantum approximate optimization algorithm for ground-state preparation of the fully connected p p -spin ferromagnet in a transverse field
Matteo M. Wauters, Glen B. Mbeng, and Giuseppe E. Santoro · 2020
Cited alongside, same era.
Quantum computational chemistry
Sam McArdle, Suguru Endo, Alán Aspuru-Guzik, Simon C Benjamin, and Xiao Yuan · 2020
Cited alongside, same era.
Supervised learning with a quantum classifier using multi-level systems
Soumik Adhikary, Siddharth Dangwal, and Debanjan Bhowmik · 2020
Cited alongside, same era.
Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography
Filip B. Maciejewski, Zoltán Zimborás, and Michał Oszmaniec · 2020
Cited alongside, same era.
Generalized quantum circuit differentiation rules
Oleksandr Kyriienko and Vincent E. Elfving · 2021
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Penalty methods for a variational quantum eigensolver
Kohdai Kuroiwa and Yuya O. Nakagawa · 2021
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Layerwise learning for quantum neural networks
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick Van Der Smagt, and Martin Leib · 2021
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The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, and Leo Zhou · 2022
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Progress towards analytically optimal angles in quantum approximate optimisation
Daniil Rabinovich, Richik Sengupta, Ernesto Campos, Vishwanathan Akshay, and Jacob Biamonte · 2022
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Circuit depth scaling for quantum approximate optimization
V. Akshay, H. Philathong, E. Campos, D. Rabinovich, I. Zacharov, Xiao-Ming Zhang, and J. D. Biamonte · 2022
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Ion-native variational ansatz for quantum approximate optimization
Daniil Rabinovich, Soumik Adhikary, Ernesto Campos, Vishwanathan Akshay, Evgeny Anikin, Richik Sengupta, Olga Lakhmanskaya, Kirill Lakhmanskiy, and Jacob Biamonte · 2022
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Variational quantum eigensolver techniques for simulating carbon monoxide oxidation
Mariia D. Sapova and Aleksey K. Fedorov · 2022
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The Variational Quantum Eigensolver: A review of methods and best practices
Jules Tilly, Hongxiang Chen, Shuxiang Cao, Dario Picozzi, Kanav Setia, Ying Li, Edward Grant, Leonard Wossnig, Ivan Rungger, George H. Booth, and Jonathan Tennyson · 2022
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Quantum error mitigation
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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A semi-agnostic ansatz with variable structure for variational quantum algorithms
Matias Bilkis, Marco Cerezo, Guillaume Verdon, Patrick J Coles, and Lukasz Cincio · 2023
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Qaoa with n ⋅ p ≥ 200 n\cdot p\geq 200 , 2023
Ruslan Shaydulin and Marco Pistoia · 2023
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High-round qaoa for max k k -sat on trapped ion nisq devices
Elijah Pelofske, Andreas Bärtschi, John Golden, and Stephan Eidenbenz · 2023
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Phase transition in random circuit sampling
A. Morvan et al · 2023
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Evidence for the utility of quantum computing before fault tolerance
Youngseok Kim, Andrew Eddins, Sajant Anand, Ken Xuan Wei, Ewout Van Den Berg, Sami Rosenblatt, Hasan Nayfeh, Yantao Wu, Michael Zaletel, Kristan Temme, et al · 2023
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Ability of error correlations to improve the performance of variational quantum algorithms
Joris Kattemölle and Guido Burkard · 2023
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Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
Stefan H. Sack and Daniel J. Egger · 2024
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Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry
Kieran Dalton, Christopher K Long, Yordan S Yordanov, Charles G Smith, Crispin HW Barnes, Normann Mertig, and David RM Arvidsson-Shukur · 2024
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Robustness of variational quantum algorithms against stochastic parameter perturbation
Daniil Rabinovich, Ernesto Campos, Soumik Adhikary, Ekaterina Pankovets, Dmitry Vinichenko, and Jacob Biamonte · 2024
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