basket option pricing 1quantum amplitude estimation 1quantum finance 1state preparation 1tensor-train methods 1variational quantum algorithms 1
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quant-ph2026
Structure-Aware Variational State Preparation for Quantum Basket Option Pricing
Dongwoo Kim, Zhenyu Cui, Daniel K. Park +1
The paper introduces a structure‑aware variational quantum state‑preparation method that uses tensor‑train rank information to build shallow circuits for quantum amplitude estimati…
quant-ph2024
Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
Tak Hur, Israel F. Araujo, Daniel K. Park
Quantum embedding is a fundamental prerequisite for applying quantum machine learning techniques to classical data, and has substantial impacts on performance outcomes. In this stu…