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quant-ph2023
Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies
Muhammad Kashif, Muhammad Rashid, Saif Al-Kuwari +1
Parameterized quantum circuits (PQCs) have emerged as a foundational element in the development and applications of quantum algorithms. However, when initialized with random parame…
quant-ph2023
The Unified Effect of Data Encoding, Ansatz Expressibility and Entanglement on the Trainability of HQNNs
Muhammad Kashif, Saif Al-Kuwari
In this paper, we propose a framework to study the combined effect of several factors that contribute to the barren plateau problem in quantum neural networks (QNNs), which is a cr…
quant-ph2023
ResQNets: A Residual Approach for Mitigating Barren Plateaus in Quantum Neural Networks
Muhammad Kashif, Saif Al-kuwari
The barren plateau problem in quantum neural networks (QNNs) is a significant challenge that hinders the practical success of QNNs. In this paper, we introduce residual quantum neu…