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We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is given as black box.
On the natural gradient for variational quantum eigensolver
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The unconstrained binary quadratic programming problem: a survey
G. Kochenberger, J.-K. Hao, F. Glover, M. Lewis, Z. Lü, H. Wang, and Y. Wang · 2014
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Error mitigation for short-depth quantum circuits
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Unsupervised Generative Modeling Using Matrix Product States
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Barren plateaus in quantum neural network training landscapes
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Embedded Feature Selection Using Probabilistic Model-Based Optimization
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Error mitigation for universal gates on encoded qubits
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Noise-Induced Barren Plateaus in Variational Quantum Algorithms
S. Wang, E. Fontana, M. Cerezo, K. Sharma, A. Sone, L. Cincio, and P. J. Coles · 2021
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Holographic quantum algorithms for simulating correlated spin systems
M. Foss-Feig, D. Hayes, J. M. Dreiling, C. Figgatt, J. P. Gaebler, S. A. Moses, J. M. Pino, and A. C. Potter · 2021
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Quantum Circuits For Two-Dimensional Isometric Tensor Networks
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Simulating Large PEPs Tensor Networks on Small Quantum Devices
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An initialization strategy for addressing barren plateaus in parametrized quantum circuits
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Cost function dependent barren plateaus in shallow parametrized quantum circuits
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Barren Plateaus Preclude Learning Scramblers
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Entanglement devised barren plateau mitigation
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A case study of variational quantum algorithms for a job shop scheduling problem
D. Amaro, M. Rosenkranz, N. Fitzpatrick, K. Hirano, and M. Fiorentini · 2022
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Quantum optimization using variational algorithms on near-term quantum devices
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Filtering variational quantum algorithms for combinatorial optimization
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Characterizing the loss landscape of variational quantum circuits
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