Variational quantum eigensolvers offer a small-scale testbed to demonstrate the performance of error mitigation techniques with low experimental overhead. We present successful error mitigation by applying the recently proposed symmetry verification technique to the experimental estimation of the ground-state energy and ground state of the hydrogen molecule. A finely adjustable exchange interaction between two qubits in a circuit QED processor efficiently prepares variational ansatz states in the single-excitation subspace respecting the parity symmetry of the qubit-mapped Hamiltonian. Symmetry verification improves the energy and state estimates by mitigating the effects of qubit relaxation and residual qubit excitation, which violate the ...
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...
Despite the raw computational power of classical computers, some problems require an exponential amo...
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 investigate the performance of error mitigation via measurement of conserved symmetries on near-t...
We investigate the performance of error mitigation via measurement of conserved symmetries on near-t...
Even with the recent rapid developments in quantum hardware, noise remains the biggest challenge for...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
The variational quantum-classical algorithms are the most promising approach for achieving quantum a...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
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...
Despite the raw computational power of classical computers, some problems require an exponential amo...
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 investigate the performance of error mitigation via measurement of conserved symmetries on near-t...
We investigate the performance of error mitigation via measurement of conserved symmetries on near-t...
Even with the recent rapid developments in quantum hardware, noise remains the biggest challenge for...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
Harnessing the full power of nascent quantum processors requires the efficient management of a limit...
The variational quantum-classical algorithms are the most promising approach for achieving quantum a...
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al. (2014), has received...
Variational algorithms for strongly correlated chemical and materials systems are one of the most pr...
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...
Despite the raw computational power of classical computers, some problems require an exponential amo...