Shang obtained his PhD in Physics from the University of Science and Technology China (USTC) in 2020. Throughout his doctoral studies, he primarily focused on conducting quantum simulation experiments utilizing linear optics. In Feb. 2022, Shang joined Imperial College London, where his research focuses on quantum computation and integrated photonics.
Shang has achieved notable research milestones, including conducting the first experiment to verify the non-additivity of quantum channel capacity, successfully constructing a parity-time symmetry enhanced quantum sensor, and observing the non-Markov property through the analysis of evolution's characteristic spectrum.
Currently, Shang's investigations revolve around Gaussian Boson Sampling (GBS) using integrated photonic chips, as well as promoting GBS for various real-world applications such as molecular docking and vibronic spectroscopy. He has authored/co-authored over 36 peer-reviewed papers (h-index 18, citations 956, Google Scholar).
et al., 2023, A universal programmable Gaussian boson sampler for drug discovery, Nature Computational Science, Vol:3, Pages:839-848
et al., 2020, Experimental Investigation of Quantum <i>PT</i>-Enhanced Sensor, Physical Review Letters, Vol:125, ISSN:0031-9007
et al., 2020, Experimental Observation of Coherent-Information Superadditivity in a Dephrasure Channel, Physical Review Letters, Vol:125, ISSN:0031-9007
et al., 2019, Reconstruction of a Photonic Qubit State with Reinforcement Learning (Adv. Quantum Technol. 7‐8/2019), Advanced Quantum Technologies, Vol:2, ISSN:2511-9044
et al., 2019, Realization of a causal-modeled delayed-choice experiment using single photons, Physical Review A, Vol:100, ISSN:2469-9926
et al., 2018, Experimental Investigation of Spectra of Dynamical Maps and their Relation to non-Markovianity., Phys Rev Lett, Vol:120