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Real-and imaginary-time evolution with compressed quantum circuits
The current generation of noisy intermediate-scale quantum computers introduces new
opportunities to study quantum many-body systems. In this paper, we show that quantum …
opportunities to study quantum many-body systems. In this paper, we show that quantum …
A survey on quantum computational finance for derivatives pricing and VaR
We review the state of the art and recent advances in quantum computing applied to
derivative pricing and the computation of risk estimators like Value at Risk. After a brief …
derivative pricing and the computation of risk estimators like Value at Risk. After a brief …
Benchmarking quantum chemistry computations with variational, imaginary time evolution, and Krylov space solver algorithms
Quantum chemistry is a key application area for noisy‐intermediate scale quantum (NISQ)
devices, and therefore serves as an important benchmark for current and future quantum …
devices, and therefore serves as an important benchmark for current and future quantum …
Gibbs state sampling via cluster expansions
Gibbs states (ie, thermal states) can be used for several applications such as quantum
simulation, quantum machine learning, quantum optimization, and the study of open …
simulation, quantum machine learning, quantum optimization, and the study of open …
Efficient simulations of quantum many-body dynamics with classical and quantum computers
SH Lin - 2023 - mediatum.ub.tum.de
This thesis explores variational approaches to simulate quantum many-body dynamics. We
introduce algorithms based on isometric tensor network states to simulate the dynamics of …
introduce algorithms based on isometric tensor network states to simulate the dynamics of …
[IDÉZET][C] TUM School of Natural Sciences
SH Lin - 2023 - Universität München