Geometric and holonomic quantum computation utilizes intrinsic geometric properties of
quantum-mechanical state spaces to realize quantum logic gates. Since both geometric …

The quest for quantum advantage, wherein quantum computers surpass the computational
capabilities of classical computers executing state-of-the-art algorithms on well-defined …

The scaling barriers currently faced by both quantum networking and quantum computing
technologies ultimately amount to the same core challenge of distributing high-quality …

Quantum secure direct communication (QSDC) can directly transmit secret messages
through quantum channel without keys. Device-independent (DI) QSDC guarantees the …

Quantum Federated Learning (QFL) is an emerging interdisciplinary field that merges the
principles of Quantum Computing (QC) and Federated Learning (FL), with the goal of …

Quantum computing stands at the precipice of technological revolution, promising
unprecedented computational capabilities to tackle some of humanity's most complex …

Quantum communication and quantum metrology are widely compelling applications in the
field of quantum information science, and quantum remote sensing is an intersection of both …

Merging machine learning with the power of quantum computing holds great potential for
data-driven decision making and the development of powerful models for complex datasets …

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 …

Purpose This study aims to assess the use of variational quantum imaginary time evolution
for solving partial differential equations using real-amplitude ansätze with full circular …