1 citations · 1 across the 2 of their papers we have counts for
4 papers
Photonic Quantum Computing vs. Classical Solvers in Constrained Factor Portfolio Optimization
Nirvik Sahoo, Chyng Wen Tee, Paul Robert Griffin
The authors present a rigorous empirical evaluation of three distinct optimization paradigms for institutional factor portfolio construction: an entropy-based photonic quantum anne…
Quantum-Inspired Trace-Augmented Evidence Selection for Reasoning over Structured Hypothesis Spaces
Laura Wynter, Nirvik Sahoo, Paul Griffin
Large language models (LLMs) now solve a wide range of expert-level exams at or above human level, yet remain brittle on specialised, evidence-intensive domains such as law. On the…
VIOLET: Visual Analytics for Explainable Quantum Neural Networks
Shaolun Ruan, Zhiding Liang, Qiang Guan +4
With the rapid development of Quantum Machine Learning, quantum neural networks (QNN) have experienced great advancement in the past few years, harnessing the advantages of quantum…
QuantumEyes: Towards Better Interpretability of Quantum Circuits
Shaolun Ruan, Qiang Guan, Paul Griffin +2
Quantum computing offers significant speedup compared to classical computing, which has led to a growing interest among users in learning and applying quantum computing across vari…