979 citations · 1.6k across the 23 of their papers we have counts for
23 papers
Interplay between disorder and topology in Thouless pumping on a superconducting quantum processor
Yu Liu, Yu-Ran Zhang, Yun-Hao Shi +24
Topological phases are robust against weak perturbations, but break down when disorder becomes sufficiently strong. However, moderate disorder can also induce topologically nontriv…
Probing spin hydrodynamics on a superconducting quantum simulator
Yun-Hao Shi, Zheng-Hang Sun, Yong-Yi Wang +20
Characterizing the nature of hydrodynamical transport properties in quantum dynamics provides valuable insights into the fundamental understanding of exotic non-equilibrium phases…
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement
Hui Yuan, Kaixuan Huang, Chengzhuo Ni +2
We explore the methodology and theory of reward-directed generation via conditional diffusion models. Directed generation aims to generate samples with desired properties as measur…
Scaling In-Context Demonstrations with Structured Attention
Tianle Cai, Kaixuan Huang, Jason D. Lee +1
The recent surge of large language models (LLMs) highlights their ability to perform in-context learning, i.e., "learning" to perform a task from a few demonstrations in the contex…
Visual Adversarial Examples Jailbreak Aligned Large Language Models
Xiangyu Qi, Kaixuan Huang, Ashwinee Panda +3
Recently, there has been a surge of interest in integrating vision into Large Language Models (LLMs), exemplified by Visual Language Models (VLMs) such as Flamingo and GPT-4. This…
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data
Minshuo Chen, Kaixuan Huang, Tuo Zhao +1
Diffusion models achieve state-of-the-art performance in various generation tasks. However, their theoretical foundations fall far behind. This paper studies score approximation, e…
Quantum simulation of topological zero modes on a 41-qubit superconducting processor
Yun-Hao Shi, Yu Liu, Yu-Ran Zhang +21
Quantum simulation of different exotic topological phases of quantum matter on a noisy intermediate-scale quantum (NISQ) processor is attracting growing interest. Here, we develop…
Observation of entanglement negativity transition of pseudo-random mixed states
Tong Liu, Shang Liu, Hekang Li +7
Multipartite entanglement is a key resource for quantum computation. It is expected theoretically that entanglement transition may happen for multipartite random quantum states, ho…
Simulating Chern insulators on a superconducting quantum processor
Zhong-Cheng Xiang, Kaixuan Huang, Yu-Ran Zhang +16
The quantum Hall effect, fundamental in modern condensed matter physics, continuously inspires new theories and predicts emergent phases of matter. Here we experimentally demonstra…
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
Kaixuan Huang, Yu Wu, Xuezhou Zhang +4
Online influence maximization aims to maximize the influence spread of a content in a social network with unknown network model by selecting a few seed nodes. Recent studies follow…
Observation of critical phase transition in a generalized Aubry-André-Harper model on a superconducting quantum processor with tunable couplers
Hao Li, Yong-Yi Wang, Yun-Hao Shi +15
Quantum simulation enables study of many-body systems in non-equilibrium by mapping to a controllable quantum system, providing a new tool for computational intractable problems. H…
The hyperonic star in relativistic mean-field model
Kaixuan Huang, Jinniu Hu, Ying Zhang +1
The neutron star as a supernova remnant is attracting high attention recently due to the gravitation wave detection and precise measurements about its mass and radius. In the inner…
Variational Quantum Computation of Molecular Linear Response Properties on a Superconducting Quantum Processor
Kaixuan Huang, Xiaoxia Cai, Hao Li +12
Simulating response properties of molecules is crucial for interpreting experimental spectroscopies and accelerating materials design. However, it remains a long-standing computati…
Quantum simulation of Hawking radiation and curved spacetime with a superconducting on-chip black hole
Yun-Hao Shi, Run-Qiu Yang, Zhongcheng Xiang +10
Hawking radiation is one of the quantum features of a black hole that can be understood as a quantum tunneling across the event horizon of the black hole, but it is quite difficult…
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
Baihe Huang, Kaixuan Huang, Sham M. Kakade +4
Bandit problems with linear or concave reward have been extensively studied, but relatively few works have studied bandits with non-concave reward. This work considers a large fami…
A Short Note on the Relationship of Information Gain and Eluder Dimension
Kaixuan Huang, Sham M. Kakade, Jason D. Lee +1
Eluder dimension and information gain are two widely used methods of complexity measures in bandit and reinforcement learning. Eluder dimension was originally proposed as a general…
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang, Kaixuan Huang, Sham M. Kakade +4
Deep Reinforcement Learning (RL) powered by neural net approximation of the Q function has had enormous empirical success. While the theory of RL has traditionally focused on linea…
Fast Federated Learning in the Presence of Arbitrary Device Unavailability
Xinran Gu, Kaixuan Huang, Jingzhao Zhang +1
Federated Learning (FL) coordinates with numerous heterogeneous devices to collaboratively train a shared model while preserving user privacy. Despite its multiple advantages, FL f…
Metrological characterisation of non-Gaussian entangled states of superconducting qubits
Kai Xu, Yu-Ran Zhang, Zheng-Hang Sun +12
Multipartite entangled states are significant resources for both quantum information processing and quantum metrology. In particular, non-Gaussian entangled states are predicted to…
Realizing a quantum generative adversarial network using a programmable superconducting processor
Kaixuan Huang, Zheng-An Wang, Chao Song +11
Generative adversarial networks are an emerging technique with wide applications in machine learning, which have achieved dramatic success in a number of challenging tasks includin…
The possibility of the secondary object in GW190814 as a neutron star
Kaixuan Huang, Jinniu Hu, Ying Zhang +1
A compact object was observed with a mass by LIGO Scientific and Virgo collaborations (LVC) in GW190814, which provides a great challenge to the investigations…
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective
Kaixuan Huang, Yuqing Wang, Molei Tao +1
Deep residual networks (ResNets) have demonstrated better generalization performance than deep feedforward networks (FFNets). However, the theory behind such a phenomenon is still…
On the Convergence of FedAvg on Non-IID Data
Xiang Li, Kaixuan Huang, Wenhao Yang +2
Federated learning enables a large amount of edge computing devices to jointly learn a model without data sharing. As a leading algorithm in this setting, Federated Averaging (\tex…