b'Junyu Liu'

research

∙ 09/21/2023

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning

Unmanned aerial vehicles (UAVs) are recognized as promising technologies...

0 Jia He, et al. ∙

research

∙ 09/12/2023

Quantum Data Center: Perspectives

A quantum version of data centers might be significant in the quantum er...

0 Junyu Liu, et al. ∙

research

∙ 08/22/2023

xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium

Neural force fields (NFFs) have gained prominence in computational chemi...

0 Zihan Pengmei, et al. ∙

research

∙ 08/15/2023

Potential Energy Advantage of Quantum Economy

Energy cost is increasingly crucial in the modern computing industry wit...

0 Junyu Liu, et al. ∙

research

∙ 07/25/2023

Fundamental causal bounds of quantum random access memories

Quantum devices should operate in adherence to quantum physics principle...

0 Yunfei Wang, et al. ∙

research

∙ 03/20/2023

Supercomputing tensor networks for U(1) symmetric quantum many-body systems

Simulation of many-body systems is extremely computationally intensive, ...

0 Minzhao Liu, et al. ∙

research

∙ 03/06/2023

Towards provably efficient quantum algorithms for large-scale machine-learning models

Large machine learning models are revolutionary technologies of artifici...

0 Junyu Liu, et al. ∙

research

∙ 01/30/2023

Complexity of Gaussian boson sampling with tensor networks

Gaussian boson sampling, a computational model that is widely believed t...

0 Minzhao Liu, et al. ∙

research

∙ 01/18/2023

Catapult Dynamics and Phase Transitions in Quadratic Nets

Neural networks trained with gradient descent can undergo non-trivial ph...

0 David Meltzer, et al. ∙

research

∙ 12/16/2022

Estimating truncation effects of quantum bosonic systems using sampling algorithms

To simulate bosons on a qubit- or qudit-based quantum computer, one has ...

0 Masanori Hanada, et al. ∙

research

∙ 11/23/2022

Benchmarking variational quantum circuits with permutation symmetry

We propose SnCQA, a set of hardware-efficient variational circuits of eq...

0 Han Zheng, et al. ∙

research

∙ 11/14/2022

Group-Equivariant Neural Networks with Fusion Diagrams

Many learning tasks in physics and chemistry involve global spatial symm...

0 Zimu Li, et al. ∙

research

∙ 11/10/2022

Quantum Power Flows: From Theory to Practice

Climate change is becoming one of the greatest challenges to the sustain...

0 Junyu Liu, et al. ∙

research

∙ 10/13/2022

Noise can be helpful for variational quantum algorithms

Saddle points constitute a crucial challenge for first-order gradient de...

0 Junyu Liu, et al. ∙

research

∙ 09/17/2022

Quantum Computing Methods for Supply Chain Management

Quantum computing is expected to have transformative influences on many ...

0 Hansheng Jiang, et al. ∙

research

∙ 08/30/2022

Symmetric Pruning in Quantum Neural Networks

Many fundamental properties of a quantum system are captured by its Hami...

0 Xinbiao Wang, et al. ∙

research

∙ 07/28/2022

Quantum Data Center: Theories and Applications

In this paper, we propose the Quantum Data Center (QDC), an architecture...

0 Junyu Liu, et al. ∙

research

∙ 07/15/2022

On the Super-exponential Quantum Speedup of Equivariant Quantum Machine Learning Algorithms with SU(d) Symmetry

We introduce a framework of the equivariant convolutional algorithms whi...

0 Han Zheng, et al. ∙

research

∙ 06/19/2022

Laziness, Barren Plateau, and Noise in Machine Learning

We define laziness to describe a large suppression of variational parame...

0 Junyu Liu, et al. ∙

research

∙ 05/20/2022

Quantum Kerr Learning

Quantum machine learning is a rapidly evolving area that could facilitat...

0 Junyu Liu, et al. ∙

research

∙ 05/19/2022

Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits

We develop numerical protocols for estimating the frame potential, the 2...

0 Minzhao Liu, et al. ∙

research

∙ 02/14/2022

HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles

The emerging trends of Internet-of-Vehicles (IoV) demand centralized ser...

0 Junyu Liu, et al. ∙

research

∙ 02/14/2022

BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs

Emerging Autonomous Vehicles (AV) breed great potentials to exploit data...

0 Wangkai Jin, et al. ∙

research

∙ 02/14/2022

Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles

Recent developments of advanced Human-Vehicle Interactions rely on the c...

0 Yicun Duan, et al. ∙

research

∙ 12/14/2021

Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ansätze

We develop a theoretical framework for S_n-equivariant quantum convoluti...

0 Han Zheng, et al. ∙

research

∙ 11/25/2021

Polyphonic Sound Event Detection Using Capsule Neural Network on Multi-Type-Multi-Scale Time-Frequency Representation

The challenges of polyphonic sound event detection (PSED) stem from the ...

0 Wangkai Jin, et al. ∙

research

∙ 11/08/2021

Representation Learning via Quantum Neural Tangent Kernels

Variational quantum circuits are used in quantum machine learning and va...

0 Junyu Liu, et al. ∙

research

∙ 09/12/2021

Towards a variational Jordan-Lee-Preskill quantum algorithm

Rapid developments of quantum information technology show promising oppo...

0 Junyu Liu, et al. ∙

research

∙ 06/03/2020

RODE-Net: Learning Ordinary Differential Equations with Randomness from Data

Random ordinary differential equations (RODEs), i.e. ODEs with random pa...

0 Junyu Liu, et al. ∙

research

∙ 05/08/2020

Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network

Fixed-wing unmanned aerial vehicles (UAVs) are of great potential to ser...

0 Junyu Liu, et al. ∙

research

∙ 05/08/2020

Efficient Betweenness Based Content Caching and Delivery Strategy in Wireless Networks

In this work, we propose a content caching and delivery strategy to maxi...

0 Chenxi Zhao, et al. ∙

research

∙ 10/27/2019

Prediction stability as a criterion in active learning

Recent breakthroughs made by deep learning rely heavily on large number ...

0 Junyu Liu, et al. ∙

research

∙ 10/22/2019

A Locating Model for Pulmonary Tuberculosis Diagnosis in Radiographs

Objective: We propose an end-to-end CNN-based locating model for pulmona...

17 Jiwei Liu, et al. ∙

research

∙ 10/29/2018

PartsNet: A Unified Deep Network for Automotive Engine Precision Parts Defect Detection

Defect detection is a basic and essential task in automatic parts produc...

0 Zhenshen Qu, et al. ∙

research

∙ 12/31/2017

Limitation of SDMA in Ultra-Dense Small Cell Networks

Benefitting from multi-user gain brought by multi-antenna techniques, sp...

0 Junyu Liu, et al. ∙

Junyu Liu

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