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20212026
most citedDepth analysis of variational quantum algorithms for heat equation

20 citations · 44 across the 9 of their papers we have counts for

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quant-ph2026

End-to-End PDE-Based Quantum Algorithms for Multi-Asset Option Pricing under Local and Stochastic Volatility

Nikita Guseynov, Nana Liu, Chi Seng Pun +1

Multi-asset option pricing under local- and stochastic-volatility models leads naturally to high-dimensional parabolic PDEs. We develop an end-to-end quantum PDE framework for Euro…

quant-ph2026

Coherent-State Propagation: A Computational Framework for Simulating Bosonic Quantum Systems

Nikita Guseynov, Zoë Holmes, Armando Angrisani

We introduce coherent-state propagation, a computational framework for simulating bosonic systems. We focus on bosonic circuits composed of displaced linear optics augmented by Ker…

quant-ph2025

Quantum Algorithm for Local-Volatility Option Pricing via the Kolmogorov Equation

Nikita Guseynov, Mikel Sanz, Ángel Rodríguez-Rozas +2

The solution of option-pricing problems may turn out to be computationally demanding due to non-linear and path-dependent payoffs, the high dimensionality arising from multiple und…

quant-ph2025

Quantum Framework for Simulating Linear PDEs with Robin Boundary Conditions

Nikita Guseynov, Xiajie Huang, Nana Liu

We propose an explicit, oracle-free quantum framework for numerically simulating general linear partial differential equations (PDEs), extending previous work to incorporate (a) Ro…

quant-ph2024★ 3 cited

Efficient explicit circuit for quantum state preparation of piecewise continuous functions

Nikita Guseynov, Nana Liu

Efficiently uploading data into quantum states is essential for many quantum algorithms to achieve advantage across various applications. In this paper, we address this challenge b…

quant-ph2024★ 14 cited

Efficient explicit gate construction of block-encoding for Hamiltonians needed for simulating partial differential equations

Nikita Guseynov, Xiajie Huang, Nana Liu

One of the most promising applications of quantum computers is solving partial differential equations (PDEs). By using the Schrodingerisation technique - which converts non-conserv…

quant-ph2024

Dynamical quantum Ansatz tree approach for the heat equation

N. M. Guseynov, W. V. Pogosov, A. V. Lebedev

Quantum computers can be used for the solution of various problems of mathematical physics. In the present paper, we consider a discretized version of the heat equation and address…

quant-ph2022★ 20 cited

Depth analysis of variational quantum algorithms for heat equation

N. M. Guseynov, A. A. Zhukov, W. V. Pogosov +1

Variational quantum algorithms are a promising tool for solving partial differential equations. The standard approach for its numerical solution are finite difference schemes, whic…

quant-ph2021★ 7 cited

Quantum simulation of fermionic systems using hybrid digital-analog quantum computing approach

Nikita Guseynov, Walter Pogosov

We consider a hybrid digital-analog quantum computing approach, which allows implementing any quantum algorithm without standard two-qubit gates. This approach is based on the alwa…