Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …

Integrated quantum photonics uses classical integrated photonic technologies and devices
for quantum applications. As in classical photonics, chip-scale integration has become …

A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …

Optimization is one of the research areas where quantum computing could bring significant
benefits. In this scenario, a hybrid quantum–classical variational algorithm, the Quantum …

During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

We benchmark the quantum processing units of the largest quantum annealers to date, the
5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q …

We introduce $ Perceval $, an open-source software platform for simulating and interfacing
with discrete-variable photonic quantum computers, and describe its main features and …

Abstract The Job Shop Scheduling Problem (JSSP) has always been considered as one of
the most complex and industry essential scheduling problems. Optimizing the makespan of …

Variational quantum algorithms are believed to be promising for solving computationally
hard problems on noisy intermediate-scale quantum (NISQ) systems. Gaining computational …

Parameterized quantum circuits (PQCs) have been widely used as a machine learning
model to explore the potential of achieving quantum advantages for various tasks. However …