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Variational quantum simulation of general processes
Suguru Endo, Jinzhao Sun, Ying Li +2
Variational quantum algorithms have been proposed to solve static and dynamic problems of closed many-body quantum systems. Here we investigate variational quantum simulation of th…
Theory of variational quantum simulation
Xiao Yuan, Suguru Endo, Qi Zhao +2
The variational method is a versatile tool for classical simulation of a variety of quantum systems. Great efforts have recently been devoted to its extension to quantum computing…
Mitigating algorithmic errors in Hamiltonian simulation
Suguru Endo, Qi Zhao, Ying Li +2
Quantum computers can efficiently simulate many-body systems. As a widely used Hamiltonian simulation tool, the Trotter-Suzuki scheme splits the evolution into the number of Trotte…
Quantum computational chemistry
Sam McArdle, Suguru Endo, Alan Aspuru-Guzik +2
One of the most promising suggested applications of quantum computing is solving classically intractable chemistry problems. This may help to answer unresolved questions about phen…
Variational quantum algorithms for discovering Hamiltonian spectra
Suguru Endo, Tyson Jones, Sam McArdle +2
Calculating the energy spectrum of a quantum system is an important task, for example to analyse reaction rates in drug discovery and catalysis. There has been significant progress…
Variational ansatz-based quantum simulation of imaginary time evolution
Sam McArdle, Tyson Jones, Suguru Endo +3
Imaginary time evolution is a powerful tool for studying quantum systems. While it is possible to simulate with a classical computer, the time and memory requirements generally sca…