Noisy quantum computers can in principle perform reliable quantum computations, but truly scalable systems require noise levels lower than are presently achieved. Topic areas include the simulation of many-body physics and chemistry, combinatorial optimization, and machine learning.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Feb 15, 2022 |
| Journal | Reviews of Modern Physics |
| Authors | Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea |
| DOI | 10.1103/revmodphys.94.015004 |
| Citations | 1,634 |
| Source | OpenAlex |