activity
20222026
most citedQuantum Advantage for Multi-option Portfolio Pricing and Valuation Adjustments

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Pricing of graph-based quantum portfolios from first principles

Daniel J. Spencer, Bin Cheng, Dinh-Long Vu +3

A central topic in economics and finance is the valuation of strategic games and bets, of investments providing uncertain future cashflows, and of other asset-like structures and c…

quant-ph2026

Reverse quantum state diffusion from differential geometry

Dinh-Long Vu, Patrick Rebentrost

Quantum state diffusion unravels a Lindblad master equation into stochastic trajectories of pure states. The ensemble of trajectories is described by a probability density on the m…

quant-ph2026

Quantum Weighted Moving Average for Predicting Limit Order Book Trends

Matthias Kamm, Dinh-Long Vu, Patrick Rebentrost

Can quantum computers be useful for forecasting multivariate financial time series? In this work, we consider the problem of predicting price trends from limit order book (LOB) dat…

quant-ph2026

Quantum Box-Muller Transform

Dinh-Long Vu, Hitomi Mori, Patrick Rebentrost

The Box-Muller transform is a widely used method to generate Gaussian samples from uniform samples. Quantum amplitude encoding methods encode the multi-variate normal distribution…

quant-ph2024

Low depth amplitude estimation without really trying

Dinh-Long Vu, Bin Cheng, Patrick Rebentrost

Standard quantum amplitude estimation algorithms provide quadratic speedup to Monte-Carlo simulations but require a circuit depth that scales as inverse of the estimation error. In…

quant-ph2022★ 1 cited

Quantum Advantage for Multi-option Portfolio Pricing and Valuation Adjustments

Jeong Yu Han, Bin Cheng, Dinh-Long Vu +1

A critical problem in the financial world deals with the management of risk, from regulatory risk to portfolio risk. Many such problems involve the analysis of securities modelled…