17 citations · 45 across the 29 of their papers we have counts for
8 papers · 1 filter
The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Muhammad Kashif, Muhammad Shafique
This paper presents an easy-to-implement approach to mitigate the challenges posed by barren plateaus (BPs) in randomly initialized parameterized quantum circuits (PQCs) within var…
Computational Advantage in Hybrid Quantum Neural Networks: Myth or Reality?
Muhammad Kashif, Alberto Marchisio, Muhammad Shafique
Hybrid Quantum Neural Networks (HQNNs) have gained attention for their potential to enhance computational performance by incorporating quantum layers into classical neural network…
Cutting is All You Need: Execution of Large-Scale Quantum Neural Networks on Limited-Qubit Devices
Alberto Marchisio, Emman Sychiuco, Muhammad Kashif +1
The rapid advancement in Quantum Computing, particularly through Noisy-Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum Machine Learning (QML)…
PO-QA: A Framework for Portfolio Optimization using Quantum Algorithms
Kamila Zaman, Alberto Marchisio, Muhammad Kashif +1
Portfolio Optimization (PO) is a financial problem aiming to maximize the net gains while minimizing the risks in a given investment portfolio. The novelty of Quantum algorithms li…
Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks
Kamila Zaman, Tasnim Ahmed, Muhammad Kashif +3
In current noisy intermediate-scale quantum devices, hybrid quantum-classical neural networks (HQNNs) represent a promising solution that combines the strengths of classical machin…
ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
Muhammad Kashif, Muhammad Shafique
In this paper, we present a novel framework for enhancing the performance of Quanvolutional Neural Networks (QuNNs) by introducing trainable quanvolutional layers and addressing th…
Investigating the Effect of Noise on the Training Performance of Hybrid Quantum Neural Networks
Muhammad Kashif, Emman Sychiuco, Muhammad Shafique
In this paper, we conduct a comprehensively analyze the influence of different quantum noise gates, including Phase Flip, Bit Flip, Phase Damping, Amplitude Damping, and the Depola…
HQNET: Harnessing Quantum Noise for Effective Training of Quantum Neural Networks in NISQ Era
Muhammad Kashif, Muhammad Shafique
Effective training of Quantum Neural Networks (QNNs) is crucial in the Noisy Intermediate-Scale Quantum (NISQ) era, where noise accelerates the onset of barren plateaus (BPs) and l…