Search Results - "Chen, Chuangtao"

A light-weight quantum self-attention model for classical data classification by Zhang, Hui, Zhao, Qinglin, Chen, Chuangtao

“…As an interdisciplinary field combining quantum computation and machine learning, Quantum Machine Learning (QML) has shown the potential to outperform…”
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PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability by Chen, Chuangtao, Qian, Weikang, Imani, Mohsen, Yin, Xunzhao, Zhuo, Cheng

“…Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes a piecewise-linearly-approximated…”
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Gradient-based optimization for quantum architecture search by He, Zhimin, Wei, Jiachun, Chen, Chuangtao, Huang, Zhiming, Situ, Haozhen, Li, Lvzhou

“…Quantum Architecture Search (QAS) has shown significant promise in designing quantum circuits for Variational Quantum Algorithms (VQAs). However, existing QAS…”
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A GNN-based predictor for quantum architecture search by He, Zhimin, Zhang, Xuefen, Chen, Chuangtao, Huang, Zhiming, Zhou, Yan, Situ, Haozhen

“…The performance of the variational quantum algorithm (VQA) highly depends on the structure of the quantum circuit. Quantum architecture search (QAS) algorithm…”
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Quantum Architecture Search with Meta‐Learning by He, Zhimin, Chen, Chuangtao, Li, Lvzhou, Zheng, Shenggen, Situ, Haozhen

“…Variational quantum algorithms (VQAs) have been successfully applied to quantum approximate optimization algorithms, variational quantum compiling and quantum…”
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Search space pruning for quantum architecture search by He, Zhimin, Su, Junjian, Chen, Chuangtao, Pan, Minghua, Situ, Haozhen

“…Variational quantum algorithms (VQAs) have been proposed for most of the applications that researchers have envisioned for quantum computers and appear to be…”
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A meta-trained generator for quantum architecture search by He, Zhimin, Chen, Chuangtao, Li, Zhengjiang, Situ, Haozhen, Zhang, Fei, Zheng, Shenggen, Li, Lvzhou

“…Variational Quantum Algorithms (VQAs) have made great success in the Noisy Intermediate-Scale Quantum (NISQ) era due to their relative resilience to noise and…”
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Optimally Approximated and Unbiased Floating-Point Multiplier with Runtime Configurability by Chen, Chuangtao, Yang, Sen, Qian, Weikang, Imani, Mohsen, Yin, Xunzhao, Zhuo, Cheng

“…Approximate computing is a promising alternative to improve energy efficiency for IoT devices on the edge. This work proposes an optimally approximated and…”
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Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks by Chen, Chuangtao, Zhang, Grace Li, Yin, Xunzhao, Zhuo, Cheng, Schlichtmann, Ulf, Li, Bing

“…Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing. However, the impressive…”
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LiveMind: Low-latency Large Language Models with Simultaneous Inference by Chen, Chuangtao, Zhang, Grace Li, Yin, Xunzhao, Zhuo, Cheng, Schlichtmann, Ulf, Li, Bing

“…In this paper, we introduce LiveMind, a novel low-latency inference framework for large language model (LLM) inference which enables LLMs to perform inferences…”
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Quantum Mixed-State Self-Attention Network by Chen, Fu, Zhao, Qinglin, Feng, Li, Chen, Chuangtao, Lin, Yangbin, Lin, Jianhong

“…The rapid advancement of quantum computing has increasingly highlighted its potential in the realm of machine learning, particularly in the context of natural…”
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Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble by Chen, Chuangtao, Zhao, Qinglin, Zhou, MengChu, He, Zhimin, Sun, Zhili, Situ, Haozhen

“…Classical diffusion models have shown superior generative results. Exploring them in the quantum domain can advance the field of quantum generative learning…”
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Fast optimal structures generator for parameterized quantum circuits by Chen, Chuangtao, He, Zhimin, Zheng, Shenggen, Zhou, Yan, Situ, Haozhen

“…Current structure optimization algorithms optimize the structure of quantum circuit from scratch for each new task of variational quantum algorithms (VQAs)…”
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Quantum Architecture Search with Meta-learning by He, Zhimin, Chen, Chuangtao, Li, Lvzhou, Zheng, Shenggen, Situ, Haozhen

“…Adv. Quantum Technol. 5 (2022) 2100134 Variational quantum algorithms (VQAs) have been successfully applied to quantum approximate optimization algorithms,…”
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Povm-Based Quantum Self-Attention Neural Network by Wei, Jiachun, He, Zhimin, Chen, Chuangtao, Deng, Maijie, Situ, Haozhen

“…Quantum Self-Attention Neural Network (QSANN) has demonstrated remarkable potential. However, it is limited to measuring only partial information from qubits,…”
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Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks by Chen, Chuangtao, Zhang, Grace Li, Yin, Xunzhao, Zhuo, Cheng, Schlichtmann, Ulf, Li, Bing

“…Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing. However, the impressive…”
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A Survey on Approximate Multiplier Designs for Energy Efficiency: From Algorithms to Circuits by Wu, Ying, Chen, Chuangtao, Xiao, Weihua, Wang, Xuan, Wen, Chenyi, Han, Jie, Yin, Xunzhao, Qian, Weikang, Zhuo, Cheng

“…Given the stringent requirements of energy efficiency for Internet-of-Things edge devices, approximate multipliers, as a basic component of many processors and…”
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Analog Content Addressable Memory using Ferroelectric: A Case Study of Search-in-Memory by Chen, Chuangtao, Huang, Qingrong, L, Chao, Zhang, Li, Zhuo, Cheng, Yin, Xunzhao

“…Non-volatile (NV) devices are actively considered for compact and high performance memory architectures, especially in-memory computing (IMC) designs where…”
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