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09/21/2023
UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning
Unmanned aerial vehicles (UAVs) are recognized as promising technologies...
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09/12/2023
Quantum Data Center: Perspectives
A quantum version of data centers might be significant in the quantum er...
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08/22/2023
xxMD: Benchmarking Neural Force Fields Using Extended Dynamics beyond Equilibrium
Neural force fields (NFFs) have gained prominence in computational chemi...
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08/15/2023
Potential Energy Advantage of Quantum Economy
Energy cost is increasingly crucial in the modern computing industry wit...
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07/25/2023
Fundamental causal bounds of quantum random access memories
Quantum devices should operate in adherence to quantum physics principle...
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03/20/2023
Supercomputing tensor networks for U(1) symmetric quantum many-body systems
Simulation of many-body systems is extremely computationally intensive, ...
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03/06/2023
Towards provably efficient quantum algorithms for large-scale machine-learning models
Large machine learning models are revolutionary technologies of artifici...
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01/30/2023
Complexity of Gaussian boson sampling with tensor networks
Gaussian boson sampling, a computational model that is widely believed t...
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01/18/2023
Catapult Dynamics and Phase Transitions in Quadratic Nets
Neural networks trained with gradient descent can undergo non-trivial ph...
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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 ...
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11/23/2022
Benchmarking variational quantum circuits with permutation symmetry
We propose SnCQA, a set of hardware-efficient variational circuits of eq...
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11/14/2022
Group-Equivariant Neural Networks with Fusion Diagrams
Many learning tasks in physics and chemistry involve global spatial symm...
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11/10/2022
Quantum Power Flows: From Theory to Practice
Climate change is becoming one of the greatest challenges to the sustain...
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10/13/2022
Noise can be helpful for variational quantum algorithms
Saddle points constitute a crucial challenge for first-order gradient de...
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09/17/2022
Quantum Computing Methods for Supply Chain Management
Quantum computing is expected to have transformative influences on many ...
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08/30/2022
Symmetric Pruning in Quantum Neural Networks
Many fundamental properties of a quantum system are captured by its Hami...
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07/28/2022
Quantum Data Center: Theories and Applications
In this paper, we propose the Quantum Data Center (QDC), an architecture...
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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...
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06/19/2022
Laziness, Barren Plateau, and Noise in Machine Learning
We define laziness to describe a large suppression of variational parame...
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05/20/2022
Quantum Kerr Learning
Quantum machine learning is a rapidly evolving area that could facilitat...
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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...
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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...
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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...
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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...
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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...
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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 ...
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11/08/2021
Representation Learning via Quantum Neural Tangent Kernels
Variational quantum circuits are used in quantum machine learning and va...
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09/12/2021
Towards a variational Jordan-Lee-Preskill quantum algorithm
Rapid developments of quantum information technology show promising oppo...
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06/03/2020
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
Random ordinary differential equations (RODEs), i.e. ODEs with random pa...
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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...
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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...
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10/27/2019
Prediction stability as a criterion in active learning
Recent breakthroughs made by deep learning rely heavily on large number ...
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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...
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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...
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12/31/2017
