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A tutorial on quantum approximate optimization algorithm (QAOA): Fundamentals and applications
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 …
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 …
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 …
application areas. In this review, we examine the science behind the quantum hype, and the …
Perspectives of quantum computing for chemical engineering
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 …
the advancements in hardware, software, and algorithms required for its successful usage …
Optimizing quantum heuristics with meta-learning
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 …
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
Quantum computing is one of the most enticing computational paradigms with the potential
to revolutionize diverse areas of future-generation computational systems. While quantum …
to revolutionize diverse areas of future-generation computational systems. While quantum …
Qubo. jl: A julia ecosystem for quadratic unconstrained binary optimization
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 …
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 …
in the space industry through the acceleration of optimization and machine learning …
Hybrid quantum–classical optimization with cardinality constraints and applications to finance
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 …
cardinality constraint, in which only a subset of variables end up having nonzero values …
Integer programming techniques for minor-embedding in quantum annealers
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 …
manufactured qubits in the hardware graph. This technological limitation has generated …