Unmanned aerial vehicles (UAVs) are recognized as promising technologies...
A quantum version of data centers might be significant in the quantum er...
Neural force fields (NFFs) have gained prominence in computational chemi...
Energy cost is increasingly crucial in the modern computing industry wit...
Quantum devices should operate in adherence to quantum physics principle...
Simulation of many-body systems is extremely computationally intensive, ...
Large machine learning models are revolutionary technologies of artifici...
Gaussian boson sampling, a computational model that is widely believed t...
Neural networks trained with gradient descent can undergo non-trivial ph...
To simulate bosons on a qubit- or qudit-based quantum computer, one has ...
We propose SnCQA, a set of hardware-efficient variational circuits of
eq...
Many learning tasks in physics and chemistry involve global spatial
symm...
Climate change is becoming one of the greatest challenges to the sustain...
Saddle points constitute a crucial challenge for first-order gradient de...
Quantum computing is expected to have transformative influences on many
...
Many fundamental properties of a quantum system are captured by its
Hami...
In this paper, we propose the Quantum Data Center (QDC), an architecture...
We introduce a framework of the equivariant convolutional algorithms whi...
We define laziness to describe a large suppression of variational
parame...
Quantum machine learning is a rapidly evolving area that could facilitat...
We develop numerical protocols for estimating the frame potential, the 2...
The emerging trends of Internet-of-Vehicles (IoV) demand centralized ser...
Emerging Autonomous Vehicles (AV) breed great potentials to exploit
data...
Recent developments of advanced Human-Vehicle Interactions rely on the
c...
We develop a theoretical framework for S_n-equivariant quantum
convoluti...
The challenges of polyphonic sound event detection (PSED) stem from the
...
Variational quantum circuits are used in quantum machine learning and
va...
Rapid developments of quantum information technology show promising
oppo...
Random ordinary differential equations (RODEs), i.e. ODEs with random
pa...
Fixed-wing unmanned aerial vehicles (UAVs) are of great potential to ser...
In this work, we propose a content caching and delivery strategy to maxi...
Recent breakthroughs made by deep learning rely heavily on large number ...
Objective: We propose an end-to-end CNN-based locating model for pulmona...
Defect detection is a basic and essential task in automatic parts produc...
Benefitting from multi-user gain brought by multi-antenna techniques, sp...