Noisy intermediate-scale quantum algorithms

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.

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• 1 Still, moderate-complexity computations can be performed.
• 2 This review discusses what is possible in this ``noisy intermediate scale'' quantum (NISQ) era.
• 3 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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