This article outlines our point of view regarding the applicability, state-of-the-art, and
potential of quantum computing for problems in finance. We provide an introduction to …

Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

The quantum approximate optimization algorithm (QAOA) employs variational states
generated by a parameterized quantum circuit to maximize the expected value of a …

There is an increasing interest in quantum algorithms for problems of integer programming
and combinatorial optimization. Classical solvers for such problems employ relaxations …

The quantum approximate optimization algorithm (QAOA) generates an approximate
solution to combinatorial optimization problems using a variational ansatz circuit defined by …

Finding high-quality parameters is a central obstacle to using the quantum approximate
optimization algorithm (QAOA). Previous work partially addresses this issue for QAOA on …

Abstract Quantum Approximate Optimization Algorithm (QAOA) is a leading candidate
algorithm for solving combinatorial optimization problems on quantum computers. However …

In finance, portfolio optimization aims at finding optimal investments maximizing a trade-off
between return and risks, given some constraints. Classical formulations of this quadratic …

Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …

Airlines today are faced with a number of large-scale scheduling problems. One such
problem is the tail-assignment problem, which is the task of assigning individual aircraft to a …