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) …

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 …

Inspired by the Fleming-Viot stochastic process, we propose a variant of Variational
Quantum Algorithms benefitting from a parallel implementation of the classical step of …

Variational quantum algorithms (VQAs) hold much promise but face the challenge of
exponentially small gradients. Unmitigated, this barren plateau (BP) phenomenon leads to …

In the realm of computational science and engineering, constructing models that reflect real-
world phenomena requires solving partial differential equations (PDEs) with different …

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

Quantum computing allows for the manipulation of highly correlated states whose properties
quickly go beyond the capacity of any classical method to calculate. Thus one natural …

The problem of quantum state preparation is one of the main challenges in achieving the
quantum advantage. Furthermore, classically, for multi-level problems, our ability to solve …

The Variational Quantum Eigensolver (VQE) is widely considered to be a promising
candidate for a quantum-classical algorithm which could achieve near-term quantum …

This study investigates the efficacy of Stochastic Hill Climbing with Random Restarts (SHC-
RR) compared to Local Search (LS) strategies within the Quantum Approximate …