Efficient Probabilistic Computing with Stochastic Perovskite Nickelates
Efficient Probabilistic Computing with Stochastic Perovskite Nickelates
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DOI：
10.1021/acs.nanolett.2c03223
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发表时间：
2022-10-31
期刊：
影响因子：
10.8
通讯作者：
Ramanathan, Shriram
中科院分区：
文献类型：
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作者：
Park, Tae Joon;Selcuk, Kemal;Ramanathan, Shriram
概率计算已成为解决困难优化问题的一种可行方法。具有固有随机性的器件可以极大地简化其在电子硬件中的实现。在此，我们展示了在氢掺杂的钙钛矿镍酸盐中通过电场控制的本征随机电阻转换。氢离子在晶格中处于各种亚稳态构型的能力导致了输运能隙的分布。通过实验表征的p位，一种共享突触p位架构展示了对诸如整数分解和布尔可满足性等优化问题的高度并行且节能的解决方案。这些结果将钙钛矿镍酸盐引入作为概率计算的可扩展潜在候选材料，并展示了轻元素掺杂剂在下一代关联半导体中的潜力。
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance switching controlled via electric fields in perovskite nickelates doped with hydrogen. The ability of hydrogen ions to reside in various metastable configurations in the lattice leads to a distribution of transport gaps. With experimentally characterized p bits, a shared-synapse p-bit architecture demonstrates highly parallelized and energy-efficient solutions to optimization problems such as integer factorization and Boolean satisfiability. The results introduce perovskite nickelates as scalable potential candidates for probabilistic computing and showcase the potential of light-element dopants in next-generation correlated semiconductors.