Archives of quantum computing: research progress and challenges
V Sood, RP Chauhan - Archives of Computational Methods in …, 2024 - Springer
Quantum computing is a revolutionary concept among emerging technologies visioned by
researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination …
researchers. The interdisciplinary nature of quantum computing evolves as cross-pollination …
Benchmarking the performance of portfolio optimization with QAOA
S Brandhofer, D Braun, V Dehn, G Hellstern… - Quantum Information …, 2022 - Springer
We present a detailed study of portfolio optimization using different versions of the quantum
approximate optimization algorithm (QAOA). For a given list of assets, the portfolio …
approximate optimization algorithm (QAOA). For a given list of assets, the portfolio …
A Quantum-like Model of Interdependence for Embodied Human–Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty
WF Lawless, IS Moskowitz, KZ Doctor - Entropy, 2023 - mdpi.com
In this review, our goal is to design and test quantum-like algorithms for Artificial Intelligence
(AI) in open systems to structure a human–machine team to be able to reach its maximum …
(AI) in open systems to structure a human–machine team to be able to reach its maximum …
Gsqas: graph self-supervised quantum architecture search
Abstract Quantum Architecture Search (QAS) is a promising approach for designing
quantum circuits specifically tailored for variational quantum algorithms (VQAs). However …
quantum circuits specifically tailored for variational quantum algorithms (VQAs). However …
Training-free quantum architecture search
Variational quantum algorithm (VQA) derives advantages from its error resilience and high
flexibility in quantum resource requirements, rendering it broadly applicable in the noisy …
flexibility in quantum resource requirements, rendering it broadly applicable in the noisy …
An Ising-Machine-Based Solver of Vehicle Routing Problem With Balanced Pick-Up
Vehicle routing applications are ubiquitous in the field of pick-up and delivery service. We
focus on the vehicle routing problem with balanced pick-up called VRPBP which originates …
focus on the vehicle routing problem with balanced pick-up called VRPBP which originates …
Quantum generative diffusion model
C Chen, Q Zhao - arXiv preprint arXiv:2401.07039, 2024 - arxiv.org
This paper introduces the Quantum Generative Diffusion Model (QGDM), a fully quantum-
mechanical model for generating quantum state ensembles, inspired by Denoising Diffusion …
mechanical model for generating quantum state ensembles, inspired by Denoising Diffusion …
Qksan: A quantum kernel self-attention network
RX Zhao, J Shi, X Li - arXiv preprint arXiv:2308.13422, 2023 - arxiv.org
Self-Attention Mechanism (SAM) is skilled at extracting important information from the
interior of data to improve the computational efficiency of models. Nevertheless, many …
interior of data to improve the computational efficiency of models. Nevertheless, many …
QuanTest: Entanglement-guided testing of quantum neural network systems
Quantum Neural Network (QNN) combines the Deep Learning (DL) principle with the
fundamental theory of quantum mechanics to achieve machine learning tasks with quantum …
fundamental theory of quantum mechanics to achieve machine learning tasks with quantum …
Shallow hybrid quantum-classical convolutional neural network model for image classification
A Wang, J Hu, S Zhang, L Li - Quantum Information Processing, 2024 - Springer
Currently, quantum neural networks (QNNs) have achieved some success in image
classification due to their strong computational capabilities. However, as the number of …
classification due to their strong computational capabilities. However, as the number of …