Inferring the Dynamics of Ground-State Evolution of Quantum Annealers
暂无分享,去创建一个
[1] M. Benedetti,et al. Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning , 2015, 1510.07611.
[2] Eleanor G. Rieffel,et al. Thermalization, Freeze-out, and Noise: Deciphering Experimental Quantum Annealers , 2017, 1703.03902.
[3] Hristo Djidjev,et al. Optimizing the Spin Reversal Transform on the D-Wave 2000Q , 2019, 2019 IEEE International Conference on Rebooting Computing (ICRC).
[4] Hristo Djidjev,et al. Solving large minimum vertex cover problems on a quantum annealer , 2019, CF.
[5] Hristo Djidjev,et al. Finding Maximum Cliques on the D-Wave Quantum Annealer , 2018, Journal of Signal Processing Systems.
[6] E. Rieffel,et al. Power of Pausing: Advancing Understanding of Thermalization in Experimental Quantum Annealers , 2018, Physical Review Applied.
[7] Dorothea Heiss-Czedik,et al. An Introduction to Genetic Algorithms. , 1997, Artificial Life.
[8] Hristo Djidjev,et al. Peering Into the Anneal Process of a Quantum Annealer , 2019, 2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT).
[9] Hristo Djidjev,et al. Solving Large Maximum Clique Problems on a Quantum Annealer , 2019, QTOP@NetSys.
[10] Daniel A. Lidar,et al. Dynamics of reverse annealing for the fully connected p -spin model , 2018, Physical Review A.
[11] Hristo Djidjev,et al. Advanced anneal paths for improved quantum annealing , 2020, 2020 IEEE International Conference on Quantum Computing and Engineering (QCE).
[12] M. Amin. Searching for quantum speedup in quasistatic quantum annealers , 2015, 1503.04216.
[13] Andrew Lucas,et al. Ising formulations of many NP problems , 2013, Front. Physics.
[14] G. Passarelli,et al. Improving quantum annealing of the ferromagnetic p -spin model through pausing , 2019, Physical Review B.