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

Artificial intelligence (AI) techniques have been spreading in most scientific areas and have
become a heated focus in photonics research in recent years. Forward modeling and …

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 …

Quantum state preparation is a key step in all digital quantum simulation algorithms. Here
we propose methods to initialize on a gate-based quantum computer a general class of …

Variational quantum algorithms (VQAs) are one of the most promising methods that can be
implemented on noisy intermediate-scale quantum (NISQ) machines to achieve a quantum …

Variational quantum algorithms exploit the features of superposition and entanglement to
optimize a cost function efficiently by manipulating the quantum states. They are suitable for …

Chiplet architecture is an emerging architecture for quantum computing that could
significantly increase qubit resources with its great scalability and modularity. However, as …

Current quantum simulators suffer from multiple limitations such as short coherence time,
noisy operations, faulty readout and restricted qubit connectivity in some platforms …

An important primitive for quantum networking is entanglement distillation, whose goal is to
enhance the fidelity of entangled qubits through local operations and classical …

The photonic platform holds great promise for quantum computing. Nevertheless, the
intrinsic probabilistic characteristic of its native fusion operations introduces substantial …