We present and analyze large-scale simulation results of a hybrid quantum-classical variational method to calculate the ground state energy of the anti-ferromagnetic Heisenberg model. Using a massively parallel universal quantum computer simulator, we observe that a low-depth-circuit ansatz advantageously exploits the efficiently preparable Néel initial state, avoids potential barren plateaus, and works for both one- and two-dimensional lattices. The analysis reflects the decisive ingredients required for a simulation by comparing different ansätze, initial parameters, and gradient-based versus gradient-free optimizers. Extrapolation to the thermodynamic limit accurately yields the analytical value for the ground state energy, given by the ...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
The fidelity of a variational quantum circuit state prepared within stochastic gradient descent depe...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Establishing the nature of the ground state of the Heisenberg antiferromagnet (HAFM) on the kagome l...
The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground st...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
The fidelity of a variational quantum circuit state prepared within stochastic gradient descent depe...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational meth...
We investigate the possibility to calculate the ground-state energy of the atomic systems on a quant...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Establishing the nature of the ground state of the Heisenberg antiferromagnet (HAFM) on the kagome l...
The variational quantum eigensolver (or VQE) uses the variational principle to compute the ground st...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The primary subject of this dissertation is the analysis and improvement of variational methods that...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
The fidelity of a variational quantum circuit state prepared within stochastic gradient descent depe...