Variational quantum computing schemes have received considerable attention due to their
high versatility and potential to make practical use of near-term quantum devices. At their …

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) …

A large amount of effort has recently been put into understanding the barren plateau
phenomenon. In this perspective article, we face the increasingly loud elephant in the room …

Variational quantum computing schemes train a loss function by sending an initial state
through a parametrized quantum circuit, and measuring the expectation value of some …

Barren plateaus have emerged as a pivotal challenge for variational quantum computing.
Our understanding of this phenomenon underwent a transformative shift with the recent …

Quantum machine learning implemented by variational quantum circuits (VQCs) is
considered a promising concept for the noisy intermediate-scale quantum computing era …

The barren plateau problem in quantum neural networks (QNNs) is a significant challenge
that hinders the practical success of QNNs. In this paper, we introduce residual quantum …

Computational intelligence has previously demonstrated its existence beyond the limitations
of binary variables and Turing Machines. Using quantum concepts, Deutsch (1985) and …

Parameterized quantum circuits (PQCs) have emerged as a foundational element in the
development and applications of quantum algorithms. However, when initialized with …

Recent advances in quantum computing and machine learning have brought about a
promising intersection of these two fields, leading to the emergence of quantum machine …