535 citations · 538 across the 3 of their papers we have counts for
16 papers
Quantum algorithm for calculation of transition amplitudes in hybrid tensor networks
Shu Kanno, Suguru Endo, Yasunari Suzuki +1
The hybrid tensor network approach allows us to perform calculations on systems larger than the scale of a quantum computer. However, when calculating transition amplitudes, there…
Quantum sensing to suppress systematic errors with measurements in the Zeno regime
Alisa Shimada, Hideaki Hakoshima, Suguru Endo +2
Quantum magnetic field sensing is an important technology for material science and biology. Although experimental imperfections affect the sensitivity, repetitions of the measureme…
Variational Quantum Algorithms
M. Cerezo, Andrew Arrasmith, Ryan Babbush +8
Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high co…
Variational quantum simulations of stochastic differential equations
Kenji Kubo, Yuya O. Nakagawa, Suguru Endo +1
Stochastic differential equations (SDEs), which models uncertain phenomena as the time evolution of random variables, are exploited in various fields of natural and social sciences…
Hybrid quantum-classical algorithms and quantum error mitigation
Suguru Endo, Zhenyu Cai, Simon C. Benjamin +1
Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the number of qubits. In experiment, quantum supremacy has recently been achieved by the…
Relationship between costs for quantum error mitigation and non-Markovian measures
Hideaki Hakoshima, Yuichiro Matsuzaki, Suguru Endo
Quantum error mitigation (QEM) has been proposed as an alternative method of quantum error correction to compensate errors in quantum systems without qubit overhead. While Markovia…