This is a project with the ambition of demonstrating the possibilities and applications of the quantum approximation optimization algorithm (QAOA). Throughout the paper discussions on the theoretical background and fundamentals of the algorithm will be done by examining the relevant nomenclature. Then a set of possible application problems will be considered where it will be discussed why this specific algorithm is of interest for each individual problem. In the fourth section these problems will concretely be tested via simulations of the QAOA and lastly an analysis of the outcomes will be done
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm for so...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
QAOA.jl is a Julia package that implements the mean-field Approximate Optimization Algorithm (mean-f...
This is a project with the ambition of demonstrating the possibilities and applications of the quant...
Optimization problems are ubiquitous in but not limited to the sciences, engineering, and applied ma...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function i...
The Quantum Approximation Optimization Algorithm (QAOA) is one of the most promising applications fo...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
Quantum algorithms are an area of intensive research thanks to their potential for speedingup certai...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction in...
The Quantum Approximate Optimization Algorithm (QAOA) constitutes one of the often mentioned candida...
We study the quantum approximate optimization algorithm (QAOA) by simulating QAOA circuits using the...
Quantum Approximate Optimization algorithm (QAOA) aims to search for approximate solutions to discre...
The quantum approximate optimization algorithm (QAOA) by Farhi et al. is a quantum computational fra...
Quantum computing has the potential to revolutionize the way hard computational problems are solved ...
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm for so...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
QAOA.jl is a Julia package that implements the mean-field Approximate Optimization Algorithm (mean-f...
This is a project with the ambition of demonstrating the possibilities and applications of the quant...
Optimization problems are ubiquitous in but not limited to the sciences, engineering, and applied ma...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function i...
The Quantum Approximation Optimization Algorithm (QAOA) is one of the most promising applications fo...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
Quantum algorithms are an area of intensive research thanks to their potential for speedingup certai...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wavefunction in...
The Quantum Approximate Optimization Algorithm (QAOA) constitutes one of the often mentioned candida...
We study the quantum approximate optimization algorithm (QAOA) by simulating QAOA circuits using the...
Quantum Approximate Optimization algorithm (QAOA) aims to search for approximate solutions to discre...
The quantum approximate optimization algorithm (QAOA) by Farhi et al. is a quantum computational fra...
Quantum computing has the potential to revolutionize the way hard computational problems are solved ...
The Quantum Approximate Optimization Algorithm (QAOA) is a hybrid quantum-classical algorithm for so...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
QAOA.jl is a Julia package that implements the mean-field Approximate Optimization Algorithm (mean-f...