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20212026
most citedQuantum algorithm for stochastic optimal stopping problems with applications in finance

13 citations · 26 across the 10 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Optimal Tolerant Testing of Lindbladian Dissipation

Jinge Bao, Yiyi Cai, Zhong-Xia Shang

Quantifying dissipation is essential for controlling quantum noise and characterizing open-system dynamics. In practical experimental settings, residual noise may still persist des…

quant-ph2026

Optimal Quantum Junta Testing without Inverse Queries

Jinge Bao, Minbo Gao, Penghui Yao

We study the query complexity of testing quantum juntas. Given an unknown -qubit unitary or quantum channel, the goal is to decide whether it acts nontrivially on at most qu…

quant-ph2026

Towards Optimal Quantum Estimators for State Frame Potential

Jinge Bao, Wang Fang, Yoshifumi Nakata +1

The state frame potential is a standard diagnostic of how closely a quantum state ensemble approximates Haar randomness. In this work, we study the problem of estimating the state…

quant-ph2026

Forward-Assisted Purification: A Spatiotemporal Framework Beyond Conventional Limits

Fei Meng, Jinge Bao, Yunlong Xiao

Noise remains the primary obstacle to realizing quantum advantage, continuously degrading the resources that enable quantum technologies. Purification aims to reverse this degradat…

quant-ph2025

On Estimating the Quantum Tsallis Relative Entropy

Jinge Bao, Minbo Gao, Qisheng Wang

The relative entropy between quantum states quantifies their distinguishability. The estimation of certain relative entropies has been investigated in the literature, e.g., the von…

quant-ph2025

Language Model for Large-Text Transmission in Noisy Quantum Communications

Yuqi Li, Zhouhang Shi, Haitao Ma +3

Quantum communication has the potential to revolutionize information processing, providing unparalleled security and increased capacity compared to its classical counterpart by usi…

quant-ph2025

Quantum algorithms and lower bounds for eccentricity, radius, and diameter in undirected graphs

Adam Wesołowski, Jinge Bao

The problems of computing eccentricity, radius, and diameter are fundamental to graph theory. These parameters are intrinsically defined based on the distance metric of the graph.…

quant-ph2024★ 1 cited

Learning junta distributions, quantum junta states, and QAC circuits

Jinge Bao, Francisco Escudero-Gutiérrez

In this work, we consider the problems of learning junta distributions, their quantum counterparts (quantum junta states) and circuits, which we show to be close t…

quant-ph2023★ 1 cited

On the quantum time complexity of divide and conquer

Jonathan Allcock, Jinge Bao, Aleksandrs Belovs +2

We initiate a systematic study of the time complexity of quantum divide and conquer algorithms for classical problems. We establish generic conditions under which search and minimi…

quant-ph2023★ 8 cited

Constant-depth circuits for Boolean functions and quantum memory devices using multi-qubit gates

Jonathan Allcock, Jinge Bao, Joao F. Doriguello +2

We explore the power of the unbounded Fan-Out gate and the Global Tunable gates generated by Ising-type Hamiltonians in constructing constant-depth quantum circuits, with particula…

quant-ph2022★ 3 cited

Fundamental theorem for quantum asset pricing

Jinge Bao, Patrick Rebentrost

Quantum computers have the potential to provide an advantage for financial pricing problems by the use of quantum estimation. In a broader context, it is reasonable to ask about si…

quant-ph2021★ 13 cited

Quantum algorithm for stochastic optimal stopping problems with applications in finance

João F. Doriguello, Alessandro Luongo, Jinge Bao +2

The famous least squares Monte Carlo (LSM) algorithm combines linear least square regression with Monte Carlo simulation to approximately solve problems in stochastic optimal stopp…