The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising variational quantum algorithm that aims to solve combinatorial optimization problems that are classically intractable. This comprehensive review offers an overview of the current state of QAOA, encompassing its performance analysis in...
Code is base on QAOA paper,Farhi, E., Goldstone, J., & Gutmann, S. (2014). A Quantum Approximate Optimization Algorithm. Code is partly referenced fromminimum vertex cover problemproject. Features: max-cut problem and vertex cover problem, ...
A quantum approximate optimization algorithm. Preprint at https://arxiv.org/abs/1411.4028 (2014). Martinez, E. A. et al. Real-time dynamics of lattice gauge theories with a few-qubit quantum computer. Nature 534, 516–519 (2016). Article ADS CAS PubMed Google Scholar Figgatt, C. et ...
VQF uses classical preprocessing to reduce integer factoring to a combinatorial optimization problem which can be solved using the quantum approximate optimization algorithm (QAOA)11. Fig. 1: Tunable resource tradeoffs with variational quantum factoring (VQF). Left: Given an integer N to be factored,...
Zhou, L., Wang, S., Choi, S., Pichler, H., Lukin, M.D.: Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices. (2019).https://arXiv.org/pdf/1812.01041.pdf Choi, J., Kim, J.: A tutorial on quantum approximate optimization algorithm...
quantum computing, focusing on a promising quantum algorithm and its application to a financial market problem. More specifically, we discuss the portfolio optimization problem using the \textit{Quantum Approximate Optimization Algorithm} (QAOA). We not only describe the main concepts involved but also...
Farhi E, Goldstone J (2014) A quantum approximate optimization algorithm. arXiv:1411.4028 Feld S, Roch C, Gabor T, Seidel C, Neukart F, Galter I, Mauerer W, Linnhoff-Popien C (2018) A hybrid solution method for the capacitated vehicle routing problem using a quantum annealer. arXiv:18...
quantum hash functions to help IoT devices to effectively share their data and full control of their records. The analysis results show that the proposed protocol can effectively defend against impersonation and eavesdropping attacks. A novel quantum swarm optimization algorithm is proposed for IoT ...
Spin-based quantum processors in silicon quantum dots offer high-fidelity single and two-qubit operation. Recently multi-qubit devices have been realized; however, many-qubit demonstrations remain elusive, partly due to the limited qubit-to-qubit connectivity. These problems can be overcome by using...
the closely related NISQ-type quantum approximate optimization algorithm (QAOA)12,22(see the Supplementary Materials) deviates from DAQC in its use of (a) shallow (i.e., short-depth) quantum circuits (hence, attempting to perform ground-state preparation diabatically as opposed to adiabatically)...