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Found 3 papers, 2 papers with code
Relaxed Peephole Optimization: A Novel Compiler Optimization for Quantum Circuits
In this paper, we propose a novel quantum compiler optimization, named relaxed peephole optimization (RPO) for quantum computers.
Quantum Physics Programming Languages
In-Place Zero-Space Memory Protection for CNN
Convolutional Neural Networks (CNN) are being actively explored for safety-critical applications such as autonomous vehicles and aerospace, where it is essential to ensure the reliability of inference results in the presence of possible memory faults.
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
Leveraging large data sets, deep Convolutional Neural Networks (CNNs) achieve state-of-the-art recognition accuracy.
