activity
20212026
most citedBlind quantum machine learning with quantum bipartite correlator

13 citations · 54 across the 14 of their papers we have counts for

collaborators

14 papers

physics.chem-ph2026

Coupled-cluster molecular properties across the main group that extrapolate beyond training size

Wenhao He, Xu Chen, Noah Song +10

Coupled-cluster theory defines the accuracy standard for molecular electronic-structure properties but scales too steeply for routine application, whereas density-functional theory…

quant-ph2025★ 1 cited

Zero-field identification and control of hydrogen-related electron-nuclear spin registers in diamond

Alexander Ungar, Hao Tang, Andrew Stasiuk +5

Spin defects in diamond serve as powerful building blocks for quantum technologies, especially for applications in quantum sensing and quantum networking. Electron-nuclear defects…

quant-ph2024

Non-Hermitian Spin-Spin Interaction Mediated by Chiral Phonons

Haowei Xu, Guoqing Wang, Changhao Li +3

Non-Hermiticity and chirality are two fundamental properties known to give rise to various intriguing phenomena. However, the interplay between these properties has been rarely exp…

physics.chem-ph2024

Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy

Hao Tang, Brian Xiao, Wenhao He +6

Machine learning (ML) plays an important role in quantum chemistry, providing fast-to-evaluate predictive models for various properties of molecules. However, most existing ML mode…

quant-ph2023★ 13 cited

Blind quantum machine learning with quantum bipartite correlator

Changhao Li, Boning Li, Omar Amer +11

Distributed quantum computing is a promising computational paradigm for performing computations that are beyond the reach of individual quantum devices. Privacy in distributed quan…

nucl-th2023★ 9 cited

Solid-State Nuclear Laser with Two-Photon Pumping

Haowei Xu, Hao Tang, Guoqing Wang +4

The radiative excitation of the 8.3 eV isomeric state of thorium-229 is an outstanding challenge due to the lack of tunable far-ultraviolet (F-UV) sources. In this work, we propose…

quant-ph2023

eV-deep neutron bound states in nanocrystals

Hao Tang, Guoqing Wang, Paola Cappellaro +1

The nuclear strong force induces the widely studied neutron scattering states and MeV-energy nuclear bound states. Whether this same interaction could lead to low-energy bound stat…

cond-mat.mtrl-sci2023★ 3 cited

Efficient Quantum Transduction Using Anti-Ferromagnetic Topological Insulators

Haowei Xu, Changhao Li, Guoqing Wang +3

Transduction of quantum information between distinct quantum systems is an essential step in various applications, including quantum communications and quantum computing. However,…

cond-mat.mtrl-sci2023

Reinforcement learning-guided long-timescale simulation of hydrogen transport in metals

Hao Tang, Boning Li, Yixuan Song +5

Atomic diffusion in solids is an important process in various phenomena. However, atomistic simulations of diffusion processes are confronted with the timescale problem: the access…

quant-ph2023★ 5 cited

Two-photon Interface of Nuclear Spins Based on the Opto-Nuclear Quadrupolar Effect

Haowei Xu, Changhao Li, Guoqing Wang +5

Photons and nuclear spins are two well-known building blocks in quantum information science and technology. Establishing an efficient interface between optical photons and nuclear…

quant-ph2023★ 5 cited

Laser Cooling of Nuclear Magnons

Haowei Xu, Guoqing Wang, Changhao Li +5

The initialization of nuclear spin to its ground state is challenging due to its small energy scale compared with thermal energy, even at cryogenic temperature. In this Letter, we…

quant-ph2023★ 1 cited

Manipulating solid-state spin concentration through charge transport

Guoqing Wang, Changhao Li, Hao Tang +8

Solid-state spin defects are attractive candidates for developing quantum sensors and simulators. The spin and charge degrees of freedom in large defect ensembles are a promising p…

quant-ph2022★ 12 cited

Communication-efficient Quantum Algorithm for Distributed Machine Learning

Hao Tang, Boning Li, Guoqing Wang +5

The growing demands of remote detection and increasing amount of training data make distributed machine learning under communication constraints a critical issue. This work provide…

cond-mat.mtrl-sci2021★ 5 cited

Balancing orbital effects and onsite Coulomb repulsion through Na modulations in NaxVO2

Xi Chen, Hao Tang, Yichao Wang +1

Vanadium oxides have been highly attractive for over half a century since the discovery of the metal insulator transition near room temperatures. Here NaxVO2 is studied through a s…