109 citations · 843 across the 53 of their papers we have counts for
11 papers · 2 filters
Training Variational Quantum Algorithms Is NP-Hard, Even Locally
Dax Enshan Koh, Triscia Mundo, Iosif Sakos +1
Variational quantum algorithms (VQAs) generally rely on classical optimization to train parameterized quantum circuits. This training seeks to minimize an objective function, and i…
Function-like pseudorandom unitaries generate pseudorandom quantum processes
Zitai Xu, Rahul Arvind, Kishor Bharti +5
Haar-random unitaries provide a canonical model of generic random quantum evolution, but they typically have exponential description and circuit complexity. Although pseudorandom u…
Verification Complexity and Extension of Classical Shadows
Georgios Karaiskos, Asad Raza, Dorian Rudolph +2
Classical shadows are an influential framework for compressing copies of a given quantum state into classical data , enabling many properties of to be predicted from rel…
Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation
Xue Yang, Rigui Zhou, Dax Enshan Koh +5
Quantum Generative Adversarial Networks (QGANs) have emerged as representative generative models in the Noisy Intermediate-Scale Quantum (NISQ) era and have attracted increasing at…
Practical Error Suppression and Mitigation for Reliable Quantum Computing
Han-Ze Li, Mengjie Yang, Xianquan Yan +3
Quantum computing is entering a transitional regime between noisy intermediate-scale quantum (NISQ) processing and early fault-tolerant quantum computation (FTQC), in which increas…
Real Classical Shadows with Noise
Atharva Hingane, Dax Enshan Koh
The real classical shadows protocol of West et al. replaces the unitary (Clifford) ensemble of the Huang--Kueng--Preskill scheme by the orthogonal (real Clifford) ensemble, and for…
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…
Entanglement in the Quantum Volunteer's Dilemma
Noah Dane Hebdon, Dax Enshan Koh
A well-known model in game theory, the Volunteer's Dilemma describes a group of players who decide whether to volunteer for a collective benefit at a personal cost, or to absta…
Experimental Implementation of the Quantum Volunteer's Dilemma on NISQ Hardware: Noise Analysis and Digital-Twin Validation
Germán D. Díaz 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…