Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Y Alexeev, M Amsler, MA Barroca, S Bassini… - Future Generation …, 2024‏ - Elsevier
Computational models are an essential tool for the design, characterization, and discovery
of novel materials. Computationally hard tasks in materials science stretch the limits of …

Shortcut to chemically accurate quantum computing via density-based basis-set correction

D Traore, O Adjoua, C Feniou, IM Lygatsika… - Communications …, 2024‏ - nature.com
Using GPU-accelerated state-vector emulation, we propose to embed a quantum computing
ansatz into density-functional theory via density-based basis-set corrections to obtain …

Enabling quantum computer simulations on amd gpus: a hip backend for google's qsim

S Markidis - Proceedings of the SC'23 Workshops of The …, 2023‏ - dl.acm.org
Quantum computer simulators play a critical role in supporting the development and
validation of quantum algorithms and hardware. This study focuses on porting Google's …

Bridging Quantum Computing and Differential Privacy: Insights into Quantum Computing Privacy

Y Zhao, H Zhong, X Zhang, Y Li… - 2024 IEEE …, 2024‏ - ieeexplore.ieee.org
While quantum computing has strong potential in data-driven fields, the privacy issue of
sensitive or valuable information involved in the quantum algorithm should be considered …

Programming tools for Analogue Quantum Computing in the High-Performance Computing Context--A Review

M Meller, V Szeremi, OT Brown - arxiv preprint arxiv:2501.16943, 2025‏ - arxiv.org
Recent advances in quantum computing have brought us closer to realizing the potential of
this transformative technology. While significant strides have been made in quantum error …

PCQ: Parallel Compact Quantum Circuit Simulation

S Liang, Y Lu, C Guo, W Luk… - 2024 IEEE 32nd Annual …, 2024‏ - ieeexplore.ieee.org
Since quantum computers are not readily available, much quantum computing research
such as quantum algorithm verification has to be conducted on classical computer platforms …

Investigating Student Participation in Quantum Workforce Initiatives

MB Bennett, JÉ Arrow, S Novack… - arxiv preprint arxiv …, 2024‏ - arxiv.org
As the focus of quantum science shifts from basic research to development and
implementation of applied quantum technology, calls for a robust, diverse quantum …

Hybrid Classical-Quantum Simulation of MaxCut using QAOA-in-QAOA

A Esposito, T Danzig - 2024 IEEE International Parallel and …, 2024‏ - ieeexplore.ieee.org
The Quantum approximate optimization algorithm (QAOA) is a leading hybrid classical-
quantum algorithm for solving complex combinatorial optimization problems. QAOA-in …

Solar Irradiance Forecasting using a Hybrid Quantum Neural Network: A Comparison on GPU-based Workflow Development Platforms

YY Hong, DJD Lopez, YY Wang - IEEE Access, 2024‏ - ieeexplore.ieee.org
Modern renewable power operations can be enhanced by integrating deep neural networks,
particularly for forecasting solar irradiance. Recent advancements in quantum computing …

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning

J Qi, CH Yang, SYC Chen, PY Chen - arxiv preprint arxiv:2411.09403, 2024‏ - arxiv.org
Quantum machine learning (QML) is a rapidly growing field that combines quantum
computing principles with traditional machine learning. It seeks to revolutionize machine …