Quantum annealing with manufactured spins
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DOI: 10.1038/nature10012
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Cited by:
- Kevin Wils & Boyang Chen, 2023. "A Symbolic Approach to Discrete Structural Optimization Using Quantum Annealing," Mathematics, MDPI, vol. 11(16), pages 1-29, August.
- Fabian Böhm & Diego Alonso-Urquijo & Guy Verschaffelt & Guy Van der Sande, 2022. "Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Marcello Calvanese Strinati & Claudio Conti, 2022. "Multidimensional hyperspin machine," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
- Yuqian Zhao & Zhaohua Ma & Zhangzhen He & Haijun Liao & Yan-Cheng Wang & Junfeng Wang & Yuesheng Li, 2024. "Quantum annealing of a frustrated magnet," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Jia Si & Shuhan Yang & Yunuo Cen & Jiaer Chen & Yingna Huang & Zhaoyang Yao & Dong-Jun Kim & Kaiming Cai & Jerald Yoo & Xuanyao Fong & Hyunsoo Yang, 2024. "Energy-efficient superparamagnetic Ising machine and its application to traveling salesman problems," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
- Bin Yan & Nikolai A. Sinitsyn, 2022. "Analytical solution for nonadiabatic quantum annealing to arbitrary Ising spin Hamiltonian," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
- Andreas Wichert, 2022. "Quantum Tree Search with Qiskit," Mathematics, MDPI, vol. 10(17), pages 1-28, August.
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