Related references
Note: Only part of the references are listed.Quantum versus classical generative modelling in finance
Brian Coyle et al.
QUANTUM SCIENCE AND TECHNOLOGY (2021)
Entanglement types for two-qubit states with real amplitudes
Oscar Perdomo et al.
QUANTUM INFORMATION PROCESSING (2021)
Classical versus quantum models in machine learning: insights from a finance application
Javier Alcazar et al.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY (2020)
A generative modeling approach for benchmarking and training shallow quantum circuits
Marcello Benedetti et al.
NPJ QUANTUM INFORMATION (2019)
Cloud Quantum Computing of an Atomic Nucleus
E. F. Dumitrescu et al.
PHYSICAL REVIEW LETTERS (2018)
Fast and Unconditional All-Microwave Reset of a Superconducting Qubit
P. Magnard et al.
PHYSICAL REVIEW LETTERS (2018)
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean et al.
NATURE COMMUNICATIONS (2018)
Differentiable learning of quantum circuit Born machines
Jin-Guo Liu et al.
PHYSICAL REVIEW A (2018)
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
Abhinav Kandala et al.
NATURE (2017)
The theory of variational hybrid quantum-classical algorithms
Jarrod R. McClean et al.
NEW JOURNAL OF PHYSICS (2016)
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo et al.
NATURE COMMUNICATIONS (2014)
How entangled can two couples get?
A Higuchi et al.
PHYSICS LETTERS A (2000)
Share Paper
