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20242026
most citedEfficient Quantum Circuits for Machine Learning Activation Functions including Constant T-depth ReLU

3 citations · 3 across the 8 of their papers we have counts for

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quant-ph2026

From Bits to Qubits: The Theory and Practice of Quantum Data Encoding

Xiao-Ming Zhang, Arthur G. Rattew, Bujiao Wu +4

Encoding classical data into quantum systems is a foundational step in the execution of nearly all quantum algorithms, and a critical bottleneck in realizing practical quantum adva…

cs.LG2026

QAdapt: A Noise-Adaptive Neural Pre-Decoding Framework for Quantum Error Correction

Ran Miao, Rui Luo, Xiaohan Shan +1

Fault-tolerant quantum computing (FTQC) relies on quantum error correction to suppress physical errors and preserve logical information at scale. In practice, however, performance…