The variational quantum-classical algorithms are the most promising approach for achieving quantum advantage on near-term quantum simulators. Among these methods, the variational quantum eigensolver has attracted a lot of attention in recent years. While it is very effective for simulating the ground state of many-body systems, its generalization to excited states becomes very resource demanding. Here, we show that this issue can significantly be improved by exploiting the symmetries of the Hamiltonian. The improvement is even more effective for higher energy eigenstates. We introduce two methods for incorporating the symmetries. In the first approach, called hardware symmetry preserving, all the symmetries are included in the design of the...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
The variational quantum eigensolver is a prominent hybrid quantum-classical algorithm expected to im...
Variational quantum eigensolver (VQE), which attracts attention as a promising application of noisy ...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
In this paper, a symmetric Variational Quantum Eigensolver (VQE) algorithm is introduced to solve th...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
We present a hybrid classical-quantum computing paradigm where the quantum part strictly runs within...
Using quantum devices supported by classical computational resources is a promising approach to quan...
Symmetries in a Hamiltonian play an important role in quantum physics because they correspond direct...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
The variational quantum eigensolver is a prominent hybrid quantum-classical algorithm expected to im...
Variational quantum eigensolver (VQE), which attracts attention as a promising application of noisy ...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
In this paper, a symmetric Variational Quantum Eigensolver (VQE) algorithm is introduced to solve th...
The variational quantum eigensolver (VQE) is a hybrid quantum classical algorithm designed for curre...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error...
We present a hybrid classical-quantum computing paradigm where the quantum part strictly runs within...
Using quantum devices supported by classical computational resources is a promising approach to quan...
Symmetries in a Hamiltonian play an important role in quantum physics because they correspond direct...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...
International audienceWe introduce a novel quantum-classical variational method that extends the qua...