A tutorial on quantum approximate optimization algorithm (QAOA): Fundamentals and applications

J Choi, J Kim - 2019 international conference on information …, 2019 - ieeexplore.ieee.org
Over the past few years, many researchers around the world have been keen to know the
potential and efficiency of quantum computers. The researchers have focused on specific …

Optimal layout synthesis for quantum computing

B Tan, J Cong - Proceedings of the 39th International Conference on …, 2020 - dl.acm.org
Recent years have witnessed the fast development of quantum computing. Researchers
around the world are eager to run larger and larger quantum algorithms that promise …

Quantum algorithms for scientific computing

R Au-Yeung, B Camino, O Rathore… - Reports on Progress in …, 2024 - iopscience.iop.org
Quantum computing promises to provide the next step up in computational power for diverse
application areas. In this review, we examine the science behind the quantum hype, and the …

Perspectives of quantum computing for chemical engineering

DE Bernal, A Ajagekar, SM Harwood, ST Stober… - AIChE …, 2022 - Wiley Online Library
Quantum computing has been attracting public attention recently. This interest is driven by
the advancements in hardware, software, and algorithms required for its successful usage …

Optimizing quantum heuristics with meta-learning

M Wilson, R Stromswold, F Wudarski… - Quantum Machine …, 2021 - Springer
Variational quantum algorithms, a class of quantum heuristics, are promising candidates for
the demonstration of useful quantum computation. Finding the best way to amplify the …

Assessing and advancing the potential of quantum computing: A NASA case study

EG Rieffel, AA Asanjan, MS Alam, N Anand… - Future Generation …, 2024 - Elsevier
Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …

Qubo. jl: A julia ecosystem for quadratic unconstrained binary optimization

PM Xavier, P Ripper, T Andrade, JD Garcia… - arxiv preprint arxiv …, 2023 - arxiv.org
We present QUBO. jl, an end-to-end Julia package for working with QUBO (Quadratic
Unconstrained Binary Optimization) instances. This tool aims to convert a broad range of …

Methods for accelerating geospatial data processing using quantum computers

M Henderson, J Gallina, M Brett - Quantum Machine Intelligence, 2021 - Springer
Quantum computing is a transformative technology with the potential to enhance operations
in the space industry through the acceleration of optimization and machine learning …

Hybrid quantum–classical optimization with cardinality constraints and applications to finance

S Fernández-Lorenzo, D Porras… - Quantum Science and …, 2021 - iopscience.iop.org
In this work we develop tools to address combinatorial optimization problems with a
cardinality constraint, in which only a subset of variables end up having nonzero values …

Integer programming techniques for minor-embedding in quantum annealers

DE Bernal, KEC Booth, R Dridi, H Alghassi… - Integration of Constraint …, 2020 - Springer
A major limitation of current generations of quantum annealers is the sparse connectivity of
manufactured qubits in the hardware graph. This technological limitation has generated …