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A review on quantum approximate optimization algorithm and its variants
K Blekos, D Brand, A Ceschini, CH Chou, RH Li… - Physics Reports, 2024 - Elsevier
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 …
Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
Multi-angle quantum approximate optimization algorithm
R Herrman, PC Lotshaw, J Ostrowski, TS Humble… - Scientific Reports, 2022 - nature.com
The quantum approximate optimization algorithm (QAOA) generates an approximate
solution to combinatorial optimization problems using a variational ansatz circuit defined by …
solution to combinatorial optimization problems using a variational ansatz circuit defined by …
Error mitigation for variational quantum algorithms through mid-circuit measurements
L Botelho, A Glos, A Kundu, JA Miszczak, Ö Salehi… - Physical Review A, 2022 - APS
Noisy intermediate-scale quantum algorithms require novel paradigms of error mitigation. To
obtain noise-robust quantum computers, each logical qubit is equipped with hundreds or …
obtain noise-robust quantum computers, each logical qubit is equipped with hundreds or …
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 …
to revolutionize diverse areas of future-generation computational systems. While quantum …
An expressive ansatz for low-depth quantum approximate optimisation
V Vijendran, A Das, DE Koh, SM Assad… - Quantum Science and …, 2024 - iopscience.iop.org
The quantum approximate optimisation algorithm (QAOA) is a hybrid quantum–classical
algorithm used to approximately solve combinatorial optimisation problems. It involves …
algorithm used to approximately solve combinatorial optimisation problems. It involves …
Fast multiqubit gates through simultaneous two-qubit gates
X Gu, J Fernández-Pendás, P Vikstål, T Abad… - PRX Quantum, 2021 - APS
Near-term quantum computers are limited by the decoherence of qubits to only being able to
run low-depth quantum circuits with acceptable fidelity. This severely restricts what quantum …
run low-depth quantum circuits with acceptable fidelity. This severely restricts what quantum …
Enabling high performance debugging for variational quantum algorithms using compressed sensing
Variational quantum algorithms (VQAs) can potentially solve practical problems using
contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal …
contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal …
[HTML][HTML] Configurable readout error mitigation in quantum workflows
Current quantum computers are still error-prone, with measurement errors being one of the
factors limiting the scalability of quantum devices. To reduce their impact, a variety of …
factors limiting the scalability of quantum devices. To reduce their impact, a variety of …
[PDF][PDF] Patterns for quantum error handling
The capabilities of current quantum computers are limited by their high error rates. Thus,
reducing the impact of these errors is one of the crucial challenges for the successful …
reducing the impact of these errors is one of the crucial challenges for the successful …