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09/19/2023
Coreset selection can accelerate quantum machine learning models with provable generalization
Quantum neural networks (QNNs) and quantum kernels stand as prominent fi...
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08/22/2023
ShadowNet for Data-Centric Quantum System Learning
Understanding the dynamics of large quantum systems is hindered by the c...
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06/06/2023
Transition role of entangled data in quantum machine learning
Entanglement serves as the resource to empower quantum computing. Recent...
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10/26/2022
Speaker Diarization Based on Multi-channel Microphone Array in Small-scale Meeting
In the task of speaker diarization, the number of small-scale meetings a...
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09/26/2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
The variational quantum eigensolver (VQE) is a leading strategy that exp...
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09/20/2022
The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022
This paper describes the BUCEA speaker diarization system for the 2022 V...
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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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06/07/2022
Recent Advances for Quantum Neural Networks in Generative Learning
Quantum computers are next-generation devices that hold promise to perfo...
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06/04/2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Most recent self-supervised learning methods learn visual representation...
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05/10/2022
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
The intrinsic probabilistic nature of quantum mechanics invokes endeavor...
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04/14/2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning
Efficient quantum compiling tactics greatly enhance the capability of qu...
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03/24/2022
DyRep: Bootstrapping Training with Dynamic Re-parameterization
Structural re-parameterization (Rep) methods achieve noticeable improvem...
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01/30/2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise?
Algorithms which minimize the averaged loss have been widely designed fo...
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06/29/2021
On exploring practical potentials of quantum auto-encoder with advantages
Quantum auto-encoder (QAE) is a powerful tool to relieve the curse of di...
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06/24/2021
Accelerating variational quantum algorithms with multiple quantum processors
Variational quantum algorithms (VQAs) have the potential of utilizing ne...
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06/09/2021
The dilemma of quantum neural networks
The core of quantum machine learning is to devise quantum models with go...
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03/31/2021
Towards understanding the power of quantum kernels in the NISQ era
A key problem in the field of quantum computing is understanding whether...
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10/20/2020
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Quantum error mitigation techniques are at the heart of quantum computat...
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10/13/2020
Experimental Quantum Generative Adversarial Networks for Image Generation
Quantum machine learning is expected to be one of the first practical ap...
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07/23/2020
Quantum differentially private sparse regression learning
Differentially private (DP) learning, which aims to accurately extract p...
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03/20/2020
Quantum noise protects quantum classifiers against adversaries
Noise in quantum information processing is often viewed as a disruptive ...
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07/16/2019
A Quantum-inspired Algorithm for General Minimum Conical Hull Problems
A wide range of fundamental machine learning tasks that are addressed by...
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04/21/2019
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
The exploration of quantum algorithms that possess quantum advantages is...
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10/29/2018
The Expressive Power of Parameterized Quantum Circuits
Parameterized quantum circuits (PQCs) have been broadly used as a hybrid...
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09/17/2018
