119 citations · 419 across the 28 of their papers we have counts for
28 papers
Neural optimization of the most probable paths of 3D active Brownian particles
Bin Zheng, Zhongqiang Xiong, Changhao Li +7
We develop a variational neural-network framework to determine the most probable path (MPP) of a 3D active Brownian particle (ABP) by directly minimizing the Onsager-Machlup integr…
High Uniformity GaN Micro-pyramids and Platelets by Selective Area Growth
Changhao Li, Vitaly Z. Zubialevich, Peter J. Parbrook +2
The development of uniform GaN micro-pyramids and platelets via selective area growth is a critical step toward advancing III-nitride device technologies, particularly for micro-li…
Control incompatibility in multiparameter quantum metrology
Zhiyao Hu, Shilin Wang, Linmu Qiao +6
In practical applications like quantum sensing and quantum imaging, there is often a necessity to estimate multiple parameters simultaneously. Although the ultimate precision limit…
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…
Individual-atom control in array through phase modulation
Guoqing Wang, Wenchao Xu, Changhao Li +2
Performing parallel gate operations while retaining low crosstalk is an essential step in transforming neutral atom arrays into powerful quantum computers and simulators. Tightly f…
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…
Expressive variational quantum circuits provide inherent privacy in federated learning
Niraj Kumar, Jamie Heredge, Changhao Li +3
Federated learning has emerged as a viable distributed solution to train machine learning models without the actual need to share data with the central aggregator. However, standar…
Des-q: a quantum algorithm to provably speedup retraining of decision trees
Niraj Kumar, Romina Yalovetzky, Changhao Li +2
Decision trees are widely adopted machine learning models due to their simplicity and explainability. However, as training data size grows, standard methods become increasingly slo…
Exponentially Enhanced non-Hermitian Cooling
Haowei Xu, Uroš Delić, Guoqing Wang +3
Certain non-Hermitian systems exhibit the skin effect, whereby the wavefunctions become exponentially localized at one edge of the system. Such exponential amplification of wavefun…
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…
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,…
Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem
Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti +26
The quantum approximate optimization algorithm (QAOA) is a leading candidate algorithm for solving optimization problems on quantum computers. However, the potential of QAOA to tac…
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…
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…
Fast wide-field quantum sensor based on solid-state spins integrated with a SPAD array
Guoqing Wang, Francesca Madonini, Boning Li +4
Achieving fast, sensitive, and parallel measurement of a large number of quantum particles is an essential task in building large-scale quantum platforms for different quantum info…
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…
Ion sensors with crown ether-functionalized nanodiamonds
Changhao Li, Shao-Xiong Lennon Luo, Daniel M. Kim +2
Alkali metal ions such as sodium and potassium cations play fundamental roles in biology. Developing highly sensitive and selective methods to both detect and quantify these ions i…
Digital noise spectroscopy with a quantum sensor
Guoqing Wang, Yuan Zhu, Boning Li +4
We introduce and experimentally demonstrate a quantum sensing protocol to sample and reconstruct the auto-correlation of a noise process using a single-qubit sensor under digital c…
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…
Characterizing temperature and strain variations with qubit ensembles for their robust coherence protection
Guoqing Wang, Ariel Rebekah Barr, Hao Tang +5
Solid-state spin defects, especially nuclear spins with potentially achievable long coherence times, are compelling candidates for quantum memories and sensors. However, their curr…
A geometric perspective: experimental evaluation of the quantum Cramer-Rao bound
Changhao Li, Mo Chen, Paola Cappellaro
The power of quantum sensing rests on its ultimate precision limit, quantified by the quantum Cramer-Rao bound (QCRB), which can surpass classical bounds. In multi-parameter estima…
SARS-CoV-2 quantum sensor based on nitrogen-vacancy centers in diamond
Changhao Li, Rouhollah Soleyman, Mohammad Kohandel +1
The development of highly sensitive and rapid biosensing tools targeted to the highly contagious virus SARS-CoV-2 is critical to tackling the COVID-19 pandemic. Quantum sensors can…
Observation of symmetry-protected selection rules in periodically driven quantum systems
Guoqing Wang, Changhao Li, Paola Cappellaro
Periodically driven quantum systems, known as Floquet systems, have been a focus of non-equilibrium physics in recent years, thanks to their rich dynamics. Not only time-periodic s…
A synthetic monopole source of Kalb-Ramond field in diamond
Mo Chen, Changhao Li, Giandomenico Palumbo +3
Magnetic monopoles play a central role in various areas of fundamental physics, ranging from electromagnetism to topological states of matter. While their observation is elusive in…