arXiv: Quantum PhysicsFarhi E, Goldstone J, Gutmann S. 2014 A quantum approximate optimization algorithm. (http://arxiv.org/abs/1411.4028).E. Farhi, J. Goldstone, and S. Gutmann, "A quantum approximate optimization algo- rithm," MIT-CTP/4610 (2014)....
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, ...
et al. Demonstration of two-qubit algorithms with a superconducting quantum processor. Nature 460, 240–244 (2009). Article ADS CAS PubMed Google Scholar Harrigan, M. P. et al. Quantum approximate optimization of non-planar graph problems on a planar superconducting processor. Nat. Phys. 17...
In the near-term, hybrid quantum-classical algorithms hold great potential for outperforming classical approaches. Understanding how these two computing paradigms work in tandem is critical for identifying areas where such hybrid algorithms could provide
Farhi, E., Goldstone, J., Gutmann, S.: A quantum approximate optimization algorithm (2014). arXiv:1411.4028 Benedetti, M., Garcia-Pintos, D., Perdomo, O., Leyton-Ortega, V., Nam, Y., Perdomo-Ortiz, A.: A generative modeling approach for benchmarking and training shallow quantum circ...
IBM: Quantum computers are rapidly emerging. (2020).https://www.research.ibm.com/5-in-5/quantum-computing/ Chen, W., Ye, Z., Li, L.: Characterization of exact one-query quantum algorithms. Phys. Rev. A101, 022325 (2020).https://doi.org/10.1103/PhysRevA.101.022325 ...
[6], besides hybrid models [7] or even quantum inspired approach optimization techniques that can be applied to PSO [8]. This chapter will only present the inertial model of PSO, as it is the state-of-the-art algorithm, and to understand better the derivations of PSO, one should firstly...
In addition, heuristic algorithms are easy to implement and their mathematical models are simple [73]. Heuristic methods have gained popularity. They are approximate non-deterministic optimization techniques that draw on specialized knowledge to address a particular issue. Then, from heuristics, meta-...
In addition, VCH could be applied to study quantum algorithms themselves42. In order to highlight such potential applications and examine their resource requirements, we now focus on two of them: the emergence of classical diffusive dynamics in quantum spin systems and the appearance of defined ...
Secondly, a coherent-SWAP can be used to transfer arbitrary quantum states between quantum dots, thus allowing the rearrangement of qubits in the array. A coherent-SWAP is important for performing multi-qubit algorithms or error correction in devices with limited qubit-to-qubit connectivity.18 The...