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quant-ph20252 cited

Double-bracket quantum algorithms for high-fidelity ground state preparation

Matteo Robbiati, Edoardo Pedicillo, Andrea Pasquale +13

Ground state preparation is a central application for quantum computers but remains challenging in practice. In this work, we quantitatively investigate the performance and gate co…

quant-ph2025

EmuPlat: A Framework-Agnostic Platform for Quantum Hardware Emulation with Validated Transpiler-to-Pulse Pipeline

Jun Ye, Jun Yong Khoo

We present EmuPlat, a framework-agnostic quantum hardware emulation platform that addresses the interoperability gap between high-level quantum programming frameworks and hardware-…

quant-ph2024

Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks

Jun Yong Khoo, Chee Kwan Gan, Wenjun Ding +3

Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. This paper investi…

quant-ph2024

An open-source framework for quantum hardware control

Edoardo Pedicillo, Alessandro Candido, Stavros Efthymiou +7

The development of quantum computers needs reliable quantum hardware and tailored software for controlling electronics specific to various quantum platforms. Middleware is a type o…

quant-ph2024

Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach

Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong +6

We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable…