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A review on quantum approximate optimization algorithm and its variants
Abstract The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising
variational quantum algorithm that aims to solve combinatorial optimization problems that …
variational quantum algorithm that aims to solve combinatorial optimization problems that …
[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Challenges and opportunities in quantum optimization
Quantum computers have demonstrable ability to solve problems at a scale beyond brute-
force classical simulation. Interest in quantum algorithms has developed in many areas …
force classical simulation. Interest in quantum algorithms has developed in many areas …
Noisy intermediate-scale quantum algorithms
A universal fault-tolerant quantum computer that can efficiently solve problems such as
integer factorization and unstructured database search requires millions of qubits with low …
integer factorization and unstructured database search requires millions of qubits with low …
Evidence of scaling advantage for the quantum approximate optimization algorithm on a classically intractable problem
The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm
for solving optimization problems on quantum computers. However, the potential of QAOA to …
for solving optimization problems on quantum computers. However, the potential of QAOA to …
Quantum optimization: Potential, challenges, and the path forward
A Abbas, A Ambainis, B Augustino, A Bärtschi… - ar** of
hybrid quantum-classical models for classical or quantum data. This framework offers high …
hybrid quantum-classical models for classical or quantum data. This framework offers high …
Adaptive quantum approximate optimization algorithm for solving combinatorial problems on a quantum computer
The quantum approximate optimization algorithm (QAOA) is a hybrid variational quantum-
classical algorithm that solves combinatorial optimization problems. While there is evidence …
classical algorithm that solves combinatorial optimization problems. While there is evidence …
Filtering variational quantum algorithms for combinatorial optimization
Current gate-based quantum computers have the potential to provide a computational
advantage if algorithms use quantum hardware efficiently. To make combinatorial …
advantage if algorithms use quantum hardware efficiently. To make combinatorial …