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Q-Embroidery: A Study on Weaving Quantum Error Correction into the Fabric of Quantum Classifiers
Quantum computing holds transformative potential for various fields, yet its practical application is hindered by the susceptibility to errors. This study makes a pioneering contribution by applying quantum error correction codes (QECCs) for complex, ...
A Low-Power and High-Accuracy Approximate Adder for Logarithmic Number System
The Logarithmic Number System (LNS) exploits the non-uniform distribution of data in convolutional neural networks (CNNs), so it leads to a high accuracy for image classification. An LNS provides an easier way to implement complex operations such as ...
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Application of Quantum Tensor Networks for Protein Classification
Computational methods in drug discovery significantly reduce both time and experimental costs. Nonetheless, certain computational tasks in drug discovery can be daunting with classical computing techniques which can be potentially overcome using quantum ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
GLSVLSI '18 | 197 | 48 | 24% |
GLSVLSI '17 | 197 | 48 | 24% |
GLSVLSI '16 | 197 | 50 | 25% |
GLSVLSI '15 | 148 | 41 | 28% |
GLSVLSI '14 | 179 | 49 | 27% |
GLSVLSI '13 | 238 | 76 | 32% |
Overall | 1,156 | 312 | 27% |