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Noise detrimentally affects quantum computations so that they not only become less accurate but also easier to simulate classically as systems scale up.
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Global and local gauge symmetries beyond lagrangian formulations
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Unbiased simulation of near-clifford quantum circuits
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Fault-tolerant quantum computing in the pauli or clifford frame with slow error diagnostics
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Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
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Pierre-Luc Dallaire-Demers and Nathan Killoran · 2018
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Narayanan Rengaswamy, Robert Calderbank, Henry D Pfister, and Swanand Kadhe · 2018
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Sergey Bravyi, Dan Browne, Padraic Calpin, Earl Campbell, David Gosset, and Mark Howard · 2019
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Characterizing large-scale quantum computers via cycle benchmarking
Alexander Erhard, Joel J Wallman, Lukas Postler, Michael Meth, Roman Stricker, Esteban A Martinez, Philipp Schindler, Thomas Monz, Joseph Emerson, and Rainer Blatt · 2019
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Classical algorithms for quantum mean values
Sergey Bravyi, David Gosset, and Ramis Movassagh · 2021
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Grand unification of quantum algorithms
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Quantum computational advantage via 60-qubit 24-cycle random circuit sampling
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A polynomial-time classical algorithm for noisy random circuit sampling
Dorit Aharonov, Xun Gao, Zeph Landau, Yunchao Liu, and Umesh Vazirani · 2022
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Error propagation in nisq devices for solving classical optimization problems
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Simulation of qubit quantum circuits via pauli propagation
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From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
Stuart Hadfield, Zhihui Wang, Bryan O’gorman, Eleanor G Rieffel, Davide Venturelli, and Rupak Biswas · 2019
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A generative modeling approach for benchmarking and training shallow quantum circuits
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Quantum computational advantage using photons
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Classical simulation of quantum supremacy circuits
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What limits the simulation of quantum computers?
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Predicting many properties of a quantum system from very few measurements
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Quantum variational algorithms are swamped with traps
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A game of quantum advantage: linking verification and simulation
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Spectral analysis for noise diagnostics and filter-based digital error mitigation
Enrico Fontana, Ivan Rungger, Ross Duncan, and Cristina Cîrstoiu · 2022
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Classical surrogates for quantum learning models
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Classical simulation of quantum circuits using a multiqubit bloch vector representation of density matrices
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Efficient recovery of variational quantum algorithms landscapes using classical signal processing
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Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, and Jerry Li · 2022
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A race track trapped-ion quantum processor
SA Moses, CH Baldwin, MS Allman, R Ancona, L Ascarrunz, C Barnes, J Bartolotta, B Bjork, P Blanchard, M Bohn, et al · 2023
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Fourier expansion in variational quantum algorithms
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