7 papers
Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding
Yidong Zhou, Lingyi Kong, Yifeng Peng +1
The advent of promising quantum error correction (QEC) codes with efficient resource utilization and high-performance fault-tolerant quantum memories signifies a critical step towa…
TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
Yifeng Peng, Xinyi Li, Samuel Yen-Chi Chen +4
Variational quantum Eigensolver (VQE) is a leading candidate for harnessing quantum computers to advance quantum chemistry and materials simulations, yet its training efficiency de…
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
Yifeng Peng, Xinyi Li, Zhemin Zhang +3
Variational Quantum Algorithms (VQAs) have gained prominence as a viable framework for exploiting near-term quantum devices in applications ranging from optimization and chemistry…
Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau?
Yifeng Peng, Xinyi Li, Zhemin Zhang +3
Variational quantum algorithms (VQAs) have emerged as a leading paradigm in near-term quantum computing, yet their performance can be hindered by the so-called barren plateau probl…
Introduction to Quantum Machine Learning and Quantum Architecture Search
Samuel Yen-Chi Chen, Zhiding Liang
Recent advancements in quantum computing (QC) and machine learning (ML) have fueled significant research efforts aimed at integrating these two transformative technologies. Quantum…
Quantum-Inspired Fidelity-based Divergence
Yifeng Peng, Dantong Li, Xinyi Li +3
Kullback--Leibler (KL) divergence is a fundamental measure of the dissimilarity between two probability distributions, but it can become unstable in high-dimensional settings due t…