上海科技大学知识管理系统

Taking into account the susceptibility of Voltage-Controlled Magnetic Tunnel Junction (VC-MTJ) to process, voltage, temperature (PVT) and environmental variations, this work proposes a lightweight post-processing technique named AXprime, which leverages the avalanche effect of non-cryptographic hash functions to effectively mitigate bias and bit correlations in the raw VC-MTJ bit streams. In comparison to conventional Linear Feedback Shift Register (LFSR) and Advanced Encryption Standard (AES) methods, the AXprime approach demonstrates its effectiveness in handling raw data with biases of up to 20% with only three rounds of iterations. Furthermore, the implementation of AXprime improves the Figure of Merit (FoM) value by 1.7x and 18.8x respectively, addressing the trade-off between performance and power consumption.