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Parameterized Quantum Circuits (PQC) are promising towards quantum advantage on near-term quantum hardware.
Noise injection into inputs in back-propagation learning
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Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms
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Edward Farhi and Hartmut Neven. 2018 · 2018
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Jarrod R McClean, Sergio Boixo, Vadim N Smelyanskiy, Ryan Babbush, and Hartmut Neven. 2018 · 2018
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Trapped-ion quantum computing: Progress and challenges
Colin D Bruzewicz, John Chiaverini, Robert McConnell, and Jeremy M Sage. 2019 · 2019
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Quantum computer systems: Research for noisy intermediate-scale quantum computers
Yongshan Ding and Frederic T Chong. 2020 · 2020
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Quanvolutional neural networks: powering image recognition with quantum circuits
Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan, and Tristan Cook. 2020 · 2020
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Quantum embeddings for machine learning
Seth Lloyd, Maria Schuld, Aroosa Ijaz, Josh Izaac, and Nathan Killoran. 2020 · 2020
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Qiskit IBM. 2021
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A co-design framework of neural networks and quantum circuits towards quantum advantage
Weiwen Jiang, Jinjun Xiong, and Yiyu Shi. 2021 · 2021
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Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. In
Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, and Weiwen Jiang. 2021 · 2021
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Gavin E Crooks. 2019 · 2019
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A quantum engineer’s guide to superconducting qubits
Philip Krantz, Morten Kjaergaard, Fei Yan, Terry P Orlando, Simon Gustavsson, and William D Oliver. 2019 · 2019
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Defensive quantization: When efficiency meets robustness
Ji Lin, Chuang Gan, and Song Han. 2019 · 2019
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Mapping quantum circuits to IBM QX architectures using the minimal number of SWAP and H operations. In
Robert Wille, Lukas Burgholzer, and Alwin Zulehner. 2019 · 2019
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IBM Quantum
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CIFAR-10 (Canadian Institute for Advanced Research)
Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. [n. d.]
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Spatten: Efficient sparse attention architecture with cascade token and head pruning. In
Hanrui Wang, Zhekai Zhang, and Song Han. 2021b
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QuantumNAS: Noise-adaptive search for robust quantum circuits
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z Pan, Frederic T Chong, and Song Han. 2022a · 2022
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QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
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