Quantum expectation-maximization algorithm
- Miyahara, Hideyuki
- Aihara, Kazuyuki
- Lechner, Wolfgang
Publication date
January 2021
DOIAbstract
Quantum expectation-maximization algorithm, Physical Review A (2020), 10.1103/PhysRevA.101.01232
Quantum expectation-maximization algorithm, Physical Review A (2020), 10.1103/PhysRevA.101.01232
The performance of the quantum approximate optimization algorithm is evaluated by using three differ...
A quantum approximate optimization algorithm (QAOA) is a polynomial-time approximate optimization al...
We discuss the progress (or lack of it) that has been made in discovering algorithms for computation...
Quantum Approximate Optimization With Parallelizable Gates, IEEE (2020), 10.1109/TQE.2020.303479
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 wavefunction in...
This is a project with the ambition of demonstrating the possibilities and applications of the quant...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
In the current noisy intermediate-scale quantum (NISQ) era, quantum machine learning is emerging as ...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function i...
The theories of optimization and machine learning answer foundational questions in computer science ...
In the last decade, public and industrial research funding has moved quantum computing from the earl...
Quantum algorithms are an area of intensive research thanks to their potential for speedingup certai...
Abstract—To tackle the shortcoming of deficient using of feedback information in quantum-inspired ev...
The performance of the quantum approximate optimization algorithm is evaluated by using three differ...
A quantum approximate optimization algorithm (QAOA) is a polynomial-time approximate optimization al...
We discuss the progress (or lack of it) that has been made in discovering algorithms for computation...
Quantum Approximate Optimization With Parallelizable Gates, IEEE (2020), 10.1109/TQE.2020.303479
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 wavefunction in...
This is a project with the ambition of demonstrating the possibilities and applications of the quant...
The Quantum Approximate Optimization Algorithm (QAOA) is one of the promising near-term algorithms d...
In the current noisy intermediate-scale quantum (NISQ) era, quantum machine learning is emerging as ...
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 20...
The quantum approximate optimization algorithm (QAOA) transforms a simple many-qubit wave function i...
The theories of optimization and machine learning answer foundational questions in computer science ...
In the last decade, public and industrial research funding has moved quantum computing from the earl...
Quantum algorithms are an area of intensive research thanks to their potential for speedingup certai...
Abstract—To tackle the shortcoming of deficient using of feedback information in quantum-inspired ev...
The performance of the quantum approximate optimization algorithm is evaluated by using three differ...
A quantum approximate optimization algorithm (QAOA) is a polynomial-time approximate optimization al...
We discuss the progress (or lack of it) that has been made in discovering algorithms for computation...
Add to ORKG