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Quantum algorithms and applications for open quantum systems
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 …
interactions with their environment─ may aid in the advancement of a diverse array of fields …
Spin high harmonic generation through terahertz laser-driven phonons
In the realm of open quantum systems, steady states and high-harmonic generation (HHG)
existing far from equilibrium have become core pillars of ultrafast science. Most solid-state …
existing far from equilibrium have become core pillars of ultrafast science. Most solid-state …
Entanglement diagnostics for efficient vqa optimization
We consider information spreading measures in randomly initialized variational quantum
circuits and introduce entanglement diagnostics for efficient variational quantum/classical …
circuits and introduce entanglement diagnostics for efficient variational quantum/classical …
Certifying steady-state properties of open quantum systems
Estimating steady state properties of open quantum systems is a crucial problem in quantum
technology. In this work, we show how to derive in a scalable way using semi-definite …
technology. In this work, we show how to derive in a scalable way using semi-definite …
Near-term quantum algorithm for solving the MaxCut problem with fewer quantum resources
X Zhao, Y Li, J Li, S Wang, S Wang, S Qin… - Physica A: Statistical …, 2024 - Elsevier
MaxCut is an NP-hard combinatorial optimization problem in graph theory. The quantum
approximate optimization algorithms (QAOAs) offer new methods for solving such problems …
approximate optimization algorithms (QAOAs) offer new methods for solving such problems …
Shallow-depth variational quantum hypothesis testing
The task of discriminating between two known quantum channels is a well-known binary-
hypothesis-testing task. We present a variational quantum algorithm with a parameterized …
hypothesis-testing task. We present a variational quantum algorithm with a parameterized …
Post-variational quantum neural networks
Hybrid quantum-classical computing in the noisy intermediate-scale quantum (NISQ) era
with variational algorithms can exhibit barren plateau issues, causing difficult convergence …
with variational algorithms can exhibit barren plateau issues, causing difficult convergence …
Hybrid algorithm simulating non-equilibrium steady states of an open quantum system
Non-equilibrium steady states are a focal point of research in the study of open quantum
systems. Previous variational algorithms for searching these steady states have suffered …
systems. Previous variational algorithms for searching these steady states have suffered …
Exponential quantum advantages for practical non-Hermitian eigenproblems
While non-Hermitian physics has attracted considerable attention, current studies are limited
to small or classically solvable systems. Quantum computing, as a powerful eigensolver …
to small or classically solvable systems. Quantum computing, as a powerful eigensolver …
Amplification, Mitigation and Energy Storage via Constrained Thermalization
Amplification (mitigation) is the increase (decrease) in the change of thermodynamic
quantities when an initial thermal state is thermalized to a different temperature in the …
quantities when an initial thermal state is thermalized to a different temperature in the …