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Quantum Neural Network Compression

4 July 2022

Papers citing "Quantum Neural Network Compression"

22 / 22 papers shown

Title
Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs Zhepeng Wang Zhiding Liang Shangli Zhou Caiwen Ding Yiyu Shi Weiwen Jiang 97 33 0 08 Sep 2021
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow Zhiding Liang Zhepeng Wang Junhuan Yang Lei Yang Jinjun Xiong Y. Shi Weiwen Jiang 80 37 0 08 Sep 2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Chengyue Wu David Z. Pan Frederic T. Chong Song Han 90 185 0 22 Jul 2021
When Machine Learning Meets Quantum Computers: A Case Study Weiwen Jiang Jinjun Xiong Yiyu Shi 82 29 0 18 Dec 2020
Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework Sung-En Chang Yanyu Li Mengshu Sun Runbin Shi Hayden Kwok-Hay So Xuehai Qian Yanzhi Wang Xue Lin MQ 74 86 0 08 Dec 2020
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start Weiwen Jiang Lei Yang Sakyasingha Dasgupta Jiaxi Hu Yiyu Shi 63 59 0 17 Jul 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage Weiwen Jiang Jinjun Xiong Yiyu Shi 63 77 0 26 Jun 2020
CSB-RNN: A Faster-than-Realtime RNN Acceleration Framework with Compressed Structured Blocks Runbin Shi Peiyan Dong Tong Geng Yuhao Ding Xiaolong Ma Hayden Kwok-Hay So Martin C. Herbordt Ang Li Yanzhi Wang MQ 81 13 0 11 May 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 73 242 0 03 Mar 2020
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition Peiyan Dong Siyue Wang Wei Niu Chengming Zhang Sheng Lin ... Yifan Gong Bin Ren Xinyu Lin Yanzhi Wang Dingwen Tao 63 46 0 19 Feb 2020
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems Sami Khairy Ruslan Shaydulin L. Cincio Yuri Alexeev Prasanna Balaprakash 64 128 0 25 Nov 2019
DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks Ao Ren Tao Zhang Yuhao Wang Sheng Lin Peiyan Dong Yen-kuang Chen Yuan Xie Yanzhi Wang 78 11 0 19 Nov 2019
Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks Ruihao Gong Xianglong Liu Shenghu Jiang Tian-Hao Li Peng Hu Jiazhen Lin F. Yu Junjie Yan MQ 77 459 0 14 Aug 2019
Variational Quantum Circuits for Deep Reinforcement Learning Samuel Yen-Chi Chen Chao-Han Huck Yang Jun Qi Pin-Yu Chen Xiaoli Ma H. Goan 97 311 0 30 Jun 2019
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search Weiwen Jiang Xinyi Zhang E. Sha Lei Yang Qingfeng Zhuge Yiyu Shi Jiaxi Hu 67 124 0 31 Jan 2019
Differentiable Fine-grained Quantization for Deep Neural Network Compression Hsin-Pai Cheng Yuanjun Huang Xuyang Guo Yifei Huang Feng Yan Hai Helen Li Yiran Chen MQ 108 14 0 20 Oct 2018
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network using Truncated Gaussian Approximation Zhezhi He Deliang Fan MQ 70 67 0 02 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 69 427 0 25 Sep 2018
Learning to Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss S. Jung Changyong Son Seohyung Lee JinWoo Son Youngjun Kwak Jae-Joon Han Sung Ju Hwang Changkyu Choi MQ 60 376 0 17 Aug 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator Cong Fang C. J. Li Zhouchen Lin Tong Zhang 109 580 0 04 Jul 2018
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers Tianyun Zhang Shaokai Ye Kaiqi Zhang Jian Tang Wujie Wen M. Fardad Yanzhi Wang 73 438 0 10 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 289 8,928 0 25 Aug 2017