activity
20232026
most citedBlind quantum machine learning with quantum bipartite correlator

13 citations · 14 across the 8 of their papers we have counts for

collaborators

8 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…

cond-mat.mtrl-sci2025

Thermal Equilibrium Vacancy Concentration in an Alloy with Chemical Short-Range Order

Hao Tang, Hoje Chun, Rafael Gomez-Bombarelli +2

The equilibrium vacancy concentration in multi-principal element alloys remains a controversial and nontrivial subject, primarily because of chemical complexity and chemical short-…

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…

cond-mat.mtrl-sci2024

Deep Learning of Mean First Passage Time Scape: Chemical Short-Range Order and Kinetics of Diffusive Relaxation

Hoje Chun, Hao Tang, Bin Xing +2

Processes slow compared to atomic vibrations pose significant challenges in atomistic simulations, particularly for phenomena such as diffusive relaxations and phase transitions, w…

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…

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…