On training variational quantum circuits
ORAL
Abstract
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Publication: Quantum machine learning
J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, and S Lloyd
Nature 549, 195–202 (2017) 10.1038/nature23474
Ion-native variational ansatz for quantum approximate optimization
D Rabinovich, S Adhikary, E Campos, V Akshay, E Anikin, R Sengupta, O Lakhmanskaya, K Lakhmanskiy, and J Biamonte
Physical Review A 106, 032418 (2022) 10.1103/PhysRevA.106.032418
Progress towards analytically optimal angles in quantum approximate optimisation
D Rabinovich, R Sengupta, E Campos, V Akshay, and J Biamonte
Mathematics 10, 2601 (2022) 10.3390/math10152601
Reachability deficits implicit in quantum approximate optimization of graph problems
V Akshay, H Philathong, I Zacharov, and J Biamonte
Quantum 5, 532 (2021) 10.22331/q-2021-08-30-532
Parameter concentrations in quantum approximate optimization
V Akshay, D Rabinovich, E Campos, and J Biamonte
(Letter) Physical Review A 104, L010401 (2021) 10.1103/PhysRevA.104.L010401
Universal variational quantum computation
J Biamonte
(Letter) Physical Review A 103, L030401 (2021) 10.1103/PhysRevA.103.L030401
Quantum machine learning tensor network states
A Kardashin, A Uvarov, and J Biamonte
Frontiers in Physics 8, 586374 (2021) 10.3389/fphy.2020.586374
Variational simulation of Schwinger's Hamiltonian with polarization qubits
O Borzenkova, G Struchalin, A Kardashin, V Krasnikov, N Skryabin, S Straupe, S Kulik, and J Biamonte
Applied Physics Letters 118, 144002 (2021) 10.1063/5.0043322
Abrupt transitions in variational quantum circuit training
E Campos, A Nasrallah, and J Biamonte
Physical Review A 103, 032607 (2021) 10.1103/PhysRevA.103.032607
Training saturation in layerwise quantum approximate optimisation
E Campos, D Rabinovich, V Akshay, and J Biamonte
(Letter) Physical Review A 104, L030401 (2021) 10.1103/PhysRevA.104.L030401
On barren plateaus and cost function locality in variational quantum algorithms
A Uvarov and J Biamonte
Journal of Physics A: Mathematical and Theoretical 54, 245–301 (2021) 10.1088/1751-8121/abfac7
Reachability deficits in quantum approximate optimization
V Akshay, H Philathong, M Morales, and J Biamonte
Physical Review Letters 124, 090504 (2020) 10.1103/PhysRevLett.124.090504
On the universality of the quantum approximate optimization algorithm
M Morales, J Biamonte, and Z Zimborás
Quantum Information Processing 19, 291 (2020) 10.1007/s11128-020-02748-9
Variational quantum eigensolver for frustrated quantum systems
A Uvarov, J Biamonte, and D Yudin
Physical Review B 102, 075104 (2020) 10.1103/PhysRevB.102.075104
Machine learning phase transitions with a quantum processor
A Uvarov, A Kardashin, and J Biamonte
Physical Review A 102, 012415 (2020) 10.1103/PhysRevA.102.012415
Variational learning of Grover's quantum search algorithm
M Morales, T Tlyachev, and J Biamonte
Physical Review A 98, 062333 (2018) 10.1103/PhysRevA.98.062333
Presenters
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Jacob Biamonte
Beijing Institute of Mathematical Sciences and Applications
Authors
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Jacob Biamonte
Beijing Institute of Mathematical Sciences and Applications