6 papers
CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation
Xue Yang, Rigui Zhou, ShiZheng Jia +7
Quantum generative adversarial networks (QGANs) have attracted increasing attention for image generation using parameterized quantum circuits. Existing amplitude-based approaches f…
Experimental Implementation of the Quantum Volunteer's Dilemma on NISQ Hardware: Noise Analysis and Digital-Twin Validation
Germán D. DÃaz Agreda, Jhon Alejandro Andrade Hoyos, Carlos A. Durán Paredes +4
We present an experimental implementation of the multiplayer Quantum Volunteer's Dilemma on noisy intermediate-scale quantum (NISQ) hardware, executed on the ibm_kingston backend v…
Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Sebastian Cajas Ordóñez, Felipe Ocampo Osorio, Dax Enshan Koh +10
We provide evidence of quantum kernel advantage under noiseless simulation in binary insurance classification on MIMIC-CXR chest radiographs using quantum support vector machines (…
End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration
Xue Yang, Rigui Zhou, Shizheng Jia +5
Quantum Generative Adversarial Networks (QGANs) offer a promising path for learning data distributions on near-term quantum devices. However, existing QGANs for image synthesis avo…
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…
Classical Shadows with Improved Median-of-Means Estimation
Winston Fu, Dax Enshan Koh, Siong Thye Goh +1
The classical shadows protocol, introduced by Huang et al. [Nat. Phys. 16, 1050 (2020)], makes use of the median-of-means (MoM) estimator to efficiently estimate the expectation va…