Fetching the paper…
Reading the bibliography…
Scaling of variational quantum algorithms to large problem sizes requires efficient optimization of random parameterized quantum circuits.
Quantum mechanics helps in searching for a needle in a haystack
Lov K. Grover · 1997
Earlier work this paper cites.
Demonstrating the viability of universal quantum computation using teleportation and single-qubit operations
D. Gottesman and I. Chuang · 1999
Earlier work this paper cites.
Grover’s quantum searching algorithm is optimal
Christof Zalka · 1999
Earlier work this paper cites.
Quantum data hiding
D. W. Leung D. P. DiVincenzo and B. M. Terhal · 2002
Earlier work this paper cites.
Sequential generation of entangled multiqubit states
C. Schön, E. Solano, F. Verstraete, J. I. Cirac, and M. M. Wolf · 2005
Earlier work this paper cites.
Quantum computation via translation-invariant operations on a chain of qubits
Robert Raussendorf · 2005
Earlier work this paper cites.
Lieb-Robinson bounds and the generation of correlations and topological quantum order
S. Bravyi, M. B. Hastings, and F. Verstraete · 2006
Earlier work this paper cites.
Globally controlled quantum wires for perfect qubit transport, mirroring, and computing
Joseph Fitzsimons and Jason Twamley · 2006
Earlier work this paper cites.
Local asymptotic normality for qubit states
M. Guta and J. Kahn · 2006
Earlier work this paper cites.
Matrix product state representations
D. Perez-Garcia, F. Verstraete, M.M. Wolf, and J.I. Cirac · 2007
Earlier work this paper cites.
Exact and approximate unitary 2-designs and their application to fidelity estimation
Christoph Dankert, Richard Cleve, Joseph Emerson, and Etera Livine · 2009
Earlier work this paper cites.
Quantum Computation and Quantum Information
M. A. Nielsen and I. L. Chuang · 2011
Earlier work this paper cites.
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
Earlier work this paper cites.
A quantum approximate optimization algorithm
E. Farhi, J. Goldstone, and S. Gutmann · 2014
Earlier work this paper cites.
The theory of variational hybrid quantum-classical algorithms
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
Earlier work this paper cites.
Local random quantum circuits are approximate polynomial-designs
F.G.S.L. Brandao, A.W. Harrow, and M. Horodecki · 2016
Earlier work this paper cites.
Efficient variational quantum simulator incorporating active error minimization
Ying Li and Simon C Benjamin · 2017
Earlier work this paper cites.
Quantum algorithm for systems of linear equations with exponentially improved dependence on precision
A.M. Childs, R. Kothari, and R.D. Somma · 2017
Earlier work this paper cites.
Near-optimal quantum circuit for Grover’s unstructured search using a transverse field
Zhang Jiang, Eleanor G. Rieffel, and Zhihui Wang · 2017
Earlier work this paper cites.
The Theory of Quantum Information
J. Watrous · 2018
Earlier work this paper cites.
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean, Sergio Boixo, Vadim N. Smelyanskiy, Ryan Babbush, and Hartmut Neven · 2018
Cited alongside, same era.
Variational learning of Grover’s quantum search algorithm
Mauro E. S. Morales, Timur Tlyachev, and Jacob Biamonte · 2018
Cited alongside, same era.
Quantum approximate optimization is computationally universal
S. Lloyd · 2018
Cited alongside, same era.
Variational quantum algorithms for discovering Hamiltonian spectra
Tyson Jones, Suguru Endo, Sam McArdle, Xiao Yuan, and Simon C Benjamin · 2019
Cited alongside, same era.
Subspace-search variational quantum eigensolver for excited states
Ken M Nakanishi, Kosuke Mitarai, and Keisuke Fujii · 2019
Cited alongside, same era.
Variational quantum state diagonalization
Near-term quantum algorithms for linear systems of equations
Hsin-Yuan Huang, Kishor Bharti, and Patrick Rebentrost · 2019
Later among the works it cites.
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
Later among the works it cites.
Expressibility and entangling capability of parameterized quantum circuits for hybrid quantum‐classical algorithms
S. Sim, P. D. Johnson, and A. Aspuru‐Guzik · 2019
Later among the works it cites.
Variational quantum state eigensolver
M Cerezo, Kunal Sharma, Andrew Arrasmith, and Patrick J Coles · 2020
Closest in time.
Noise resilience of variational quantum compiling
Kunal Sharma, Sumeet Khatri, Marco Cerezo, and Patrick Coles · 2020
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ryan LaRose, Arkin Tikku, Étude O’Neel-Judy, Lukasz Cincio, and Patrick J Coles · 2019
Cited alongside, same era.
Variational consistent histories as a hybrid algorithm for quantum foundations
Andrew Arrasmith, Lukasz Cincio, Andrew T Sornborger, Wojciech H Zurek, and Patrick J Coles · 2019
Cited alongside, same era.
Quantum-assisted quantum compiling
Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles · 2019
Cited alongside, same era.
Variational quantum linear solver: A hybrid algorithm for linear systems
Carlos Bravo-Prieto, Ryan LaRose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, and Patrick J Coles · 2019
Cited alongside, same era.
Variational algorithms for linear algebra
Xiaosi Xu, Jinzhao Sun, Suguru Endo, Ying Li, Simon C Benjamin, and Xiao Yuan · 2019
Cited alongside, same era.
D. An and Lin Lin · 2019
Cited alongside, same era.
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao, Simon Benjamin, and Ying Li · 2019
Cited alongside, same era.
An adaptive optimizer for measurement-frugal variational algorithms
Jonas M Kübler, Andrew Arrasmith, Lukasz Cincio, and Patrick J Coles · 2020
Closest in time.
Operator sampling for shot-frugal optimization in variational algorithms
Andrew Arrasmith, Lukasz Cincio, Rolando D Somma, and Patrick J Coles · 2020
Closest in time.
Stochastic gradient descent for hybrid quantum-classical optimization
Ryan Sweke, Frederik Wilde, Johannes Meyer, Maria Schuld, Paul K Fährmann, Barthélémy Meynard-Piganeau, and Jens Eisert · 2020
Closest in time.
Cost-function-dependent barren plateaus in shallow quantum neural networks
M. Cerezo, A. Sone, T. Volkoff, L. Cincio, and P.J. Coles · 2020
Closest in time.
Entanglement induced barren plateaus
Carlos Ortiz Marrero, Maria Kieferova, and Nathan Wiebe · 2020
Closest in time.
Kosuke Mitarai, Yasunari Suzuki, Wataru Mizukami, Yuya O. Nakagawa, and Keisuke Fujii · 2020
Closest in time.
Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, Jonathan Romero, Jerome F. Gonthier, and Alexander A. Kunitsa · 2020
Closest in time.
Layerwise learning for quantum neural networks
Andrea Skolik, Jarrod R. McClean, Masoud Mohseni, Patrick van der Smagt, and Martin Leib · 2020
Closest in time.
Absence of barren plateaus in quantum convolutional neural networks
Arthur Pesah, M. Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, and Patrick J. Coles · 2020
Closest in time.
Efficient trainability of linear optical modules in quantum optical neural networks
T. J. Volkoff · 2020
Closest in time.
Noise-induced barren plateaus in variational quantum algorithms
S. Wang, E. Fontana, M. Cerezo, K. Sharma, A. Sone, L. Cincio, and P.J. Coles · 2020
Closest in time.
Variational quantum state preparation via quantum data buses
V. V. Kuzmin and P. Silvi · 2020
Closest in time.
Learning unitaries by gradient descent
B.T. Kiani, S. Lloyd, and R. Maity · 2020
Closest in time.
Depth optimization of quantum search algorithms beyond Grover’s algorithm
Kun Zhang and Vladimir E. Korepin · 2020
Closest in time.
Expressibility of the alternating layered ansatz for quantum computation
K. Nakaji and N. Yamamoto · 2020
Closest in time.