Superadditivity of the classical capacity with limited entanglement assistance. - Elton Yechao Zhu; Quntao Zhuang; Peter W. Shor (CoRR, 2017)

Supervised Learning Enhanced by an Entangled Sensor Network. - Quntao Zhuang; Zheshen Zhang (CoRR, 2019)

Superadditivity in Trade-Off Capacities of Quantum Channels. - Elton Yechao Zhu; Quntao Zhuang; Min-Hsiu Hsieh; Peter W. Shor (IEEE Trans. Inf. Theory, 2019)

Infinite-fold enhancement in communications capacity using pre-shared entanglement. - Saikat Guha 001; Quntao Zhuang; Boulat A. Bash (ISIT, 2020)

Entanglement formation in continuous-variable random quantum networks. - Bingzhi Zhang; Quntao Zhuang (CoRR, 2020)

Quantum-enhanced barcode decoding and pattern recognition. - Leonardo Banchi; Quntao Zhuang; Stefano Pirandola (CoRR, 2020)

Quantum communication capacity transition of complex quantum networks. - Quntao Zhuang; Bingzhi Zhang (CoRR, 2020)

Quantum Internet under random breakdowns and intentional attacks. - Bingzhi Zhang; Quntao Zhuang (CoRR, 2020)

Entanglement-assisted multiple-access channels: capacity regions and protocol designs. - Haowei Shi; Min-Hsiu Hsieh; Saikat Guha 001; Zheshen Zhang; Quntao Zhuang (ISIT, 2021)

Strong data processing inequality in neural networks with noisy neurons and its implications. - Chuteng Zhou; Quntao Zhuang; Matthew Mattina; Paul N. Whatmough (ISIT, 2021)

Entangled Sensor Networks Empowered by Machine Learning. - Yi Xia; Wei Li; William Clar; Darlene Hart; Quntao Zhuang; Zheshen Zhang (OFC, 2021)

Information contraction in noisy binary neural networks and its implications. - Chuteng Zhou; Quntao Zhuang; Matthew Mattina; Paul N. Whatmough (CoRR, 2021)

Computational phase transition in Quantum Approximate Optimization Algorithm - the difference between hard and easy. - Bingzhi Zhang; Quntao Zhuang (CoRR, 2021)

Transceiver designs to attain the entanglement assisted communications capacity. - Ali Cox; Quntao Zhuang; Christos N. Gagatsos; Boulat A. Bash; Saikat Guha 001 (CoRR, 2022)

Energy-dependent barren plateau in bosonic variational quantum circuits. - Bingzhi Zhang; Quntao Zhuang (CoRR, 2023)

Generative quantum machine learning via denoising diffusion probabilistic models. - Bingzhi Zhang; Peng Xu; Xiaohui Chen; Quntao Zhuang (CoRR, 2023)

Dynamical phase transition in quantum neural networks with large depth. - Bingzhi Zhang; Junyu Liu; Xiao-Chuan Wu; Liang Jiang; Quntao Zhuang (CoRR, 2023)

Optimal encoding of oscillators into more oscillators. - Jing Wu; Anthony J. Brady; Quntao Zhuang (Quantum, 2023)

Quantum Illumination Advantage for Classification Among an Arbitrary Library of Targets. - Ali Cox; Quntao Zhuang; Jeffrey H. Shapiro; Saikat Guha 001 (ISIT, 2024)

Quantum-data-driven dynamical transition in quantum learning. - Bingzhi Zhang; Junyu Liu; Liang Jiang; Quntao Zhuang (CoRR, 2024)

Mixed-State Quantum Denoising Diffusion Probabilistic Model. - Gino Kwun; Bingzhi Zhang; Quntao Zhuang (CoRR, 2024)

Safeguarding Oscillators and Qudits with Distributed Two-Mode Squeezing. - Anthony J. Brady; Jing Wu; Quntao Zhuang (Quantum, 2024)