Accurate models for open quantum systems─ quantum states that have nontrivial
interactions with their environment─ may aid in the advancement of a diverse array of fields …

Variational quantum algorithms (VQAs) are widely applied in the noisy intermediate-scale
quantum era and are expected to demonstrate quantum advantage. However, training VQAs …

The gradient descent approach is the key ingredient in variational quantum algorithms and
machine learning tasks, which is an optimization algorithm for finding a local minimum of an …

The AKLT state is the ground state of an isotropic quantum Heisenberg spin-1 model. It
exhibits an excitation gap and an exponentially decaying correlation function, with …

We propose a variational quantum algorithm named variational open quantum eigensolver
(VOQE) for solving steady states of open quantum systems described by either Lindblad …

The rapid development of quantum computers has enabled demonstrations of quantum
advantages on various tasks. However, real quantum systems are always dissipative due to …

Variational quantum algorithms are among the most promising algorithms to achieve
quantum advantages in the noisy intermediate-scale quantum (NISQ) era. One important …

The solutions of the problems related to open quantum systems have attracted considerable
interest. We propose a variational quantum algorithm to find the steady state of open …

Optimal measurement is required to obtain the quantum and classical correlations of a
quantum state, and the crucial difficulty is how to acquire the maximal information about one …

Variational Quantum Algorithms are among the most promising systems to implement
quantum computing under the Noisy-Intermediate Scale Quantum (NISQ) technology. In …