22 citations · 63 across the 6 of their papers we have counts for
6 papers
Quantum lattice Boltzmann algorithm for heat transfer with phase change
Christopher L. Jawetz, Zhixin Song, Spencer H. Bryngelson +1
Heat transfer involving phase change is computationally intensive due to moving phase boundaries, nonlinear computations, and time step restrictions. This paper presents a quantum…
Hadamard Random Forest: Reconstructing real-valued quantum states with exponential reduction in measurement settings
Zhixin Song, Hang Ren, Melody Lee +3
Quantum tomography is a crucial tool for characterizing quantum states and devices and estimating nonlinear properties of the systems. Performing full quantum state tomography on a…
Incompressible Navier-Stokes solve on noisy quantum hardware via a hybrid quantum-classical scheme
Zhixin Song, Robert Deaton, Bryan Gard +1
Partial differential equation solvers are required to solve the Navier-Stokes equations for fluid flow. Recently, algorithms have been proposed to simulate fluid dynamics on quantu…
A multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method
Melody Lee, Zhixin Song, Sriharsha Kocherla +3
This work proposes a multi-circuit quantum lattice Boltzmann method (QLBM) algorithm that leverages parallel quantum computing to reduce quantum resource requirements. Computationa…
Privacy-preserving quantum federated learning via gradient hiding
Changhao Li, Niraj Kumar, Zhixin Song +2
Distributed quantum computing, particularly distributed quantum machine learning, has gained substantial prominence for its capacity to harness the collective power of distributed…
Fully quantum algorithm for lattice Boltzmann methods with application to partial differential equations
Sriharsha Kocherla, Zhixin Song, Fatima Ezahra Chrit +4
Fluid flow simulations marshal our most powerful computational resources. In many cases, even this is not enough. Quantum computers provide an opportunity to speed up traditional a…