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The study uses classical and quantum simulations of a spin-1/2 chain to show that certain noise models, such as phase-flip and Haar-random noise, can speed up thermalization and help prepare Gibbs states. The reported 3.5x speedup applies to one non-integrable model, and the integrable model reaches a thermal state only because of noise. These are simulation results on small systems, so the practical value for near-term hardware depends on validation on real devices and on whether the effect holds across other noise types and system sizes.

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Noise can help quantum computers prepare data, simulations show

Quantum ZeitgeistOctober 30, 20264 min read

Despite being a challenge for fault tolerance, noise can actually help quantum computers prepare Gibbs states, accelerating thermalization by 3.5x in some models.

Their simulations show a spin-1/2 chain model experienced approximately 3.5 times faster thermalization in the presence of noise. This work establishes a new paradigm where noise, traditionally seen as an obstacle, can be harnessed for practical advantages on quantum computers even before fully fault-tolerant machines are available. In the current Noisy Intermediate-Scale Quantum era, noise is widely regarded as the primary obstacle to achieving fault-tolerant quantum computation. However, certain stages of the quantum computing pipeline…

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