Variational quantum computing offers a flexible computational paradigm with applications in
diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) …

The barren plateau phenomenon, characterized by loss gradients that vanish exponentially
with system size, poses a challenge to scaling variational quantum algorithms. Here we …

Understanding the capabilities of classical simulation methods is key to identifying where
quantum computers are advantageous. Not only does this ensure that quantum computers …

Variational quantum approaches have shown great promise in finding near-optimal
solutions to computationally challenging tasks, including solving optimization problems …

Motivated by realistic hardware considerations of the pre-fault-tolerant era, we
comprehensively study the impact of uncorrected noise on quantum circuits. We first show …

The barren plateau phenomenon, characterized by loss gradients that vanish exponentially
with system size, poses a challenge to scaling variational quantum algorithms. Here we …

Variational quantum computing provides a versatile computational approach, applicable to a
wide range of fields such as quantum chemistry, machine learning, and optimization …

In this study, we explore the information capacity of open quantum systems, focusing on the
effective channels formed by the subsystem of random quantum circuits and quantum …

Variational quantum algorithms have emerged as a promising approach to achieving
practical quantum advantages using near-term quantum devices. Despite their potential, the …

Variational quantum algorithms have been widely demonstrated in both experimental and
theoretical contexts to have extensive applications in quantum simulation, optimization, and …