IBM is Using AI to Help Identify New Quantum Error Correction Codes
Logical Error Rate Performance for Given Physical Error Rates for Different QEC Codes. Credit:IBM Searching for optimal Quantum Error Correction (QEC) codes is an incredibly time-consuming and computationally demanding bottleneck due to the vast space of potential algebraic formulations. To address this, IBM researchers have introduced OpenEvolve, an open-source, LLM-guided evolutionary AI framework that dramatically […]
The post IBM is Using AI to Help Identify New Quantum Error Correction Codes appeared first on Quantum Computing Report.
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