activity
20242026
most citedA multiple-circuit approach to quantum resource reduction with application to the quantum lattice Boltzmann method

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Studying energy-resolved transport with wavepacket dynamics on quantum computers

Melody Lee, Roland C. Farrell

Probing energy-dependent transport in quantum simulators requires preparing states with tunable energy and small energy variance. Existing approaches often study quench dynamics of…

quant-ph2025

Personalized Improvement of Standard Readout Error Mitigation using Low-Depth Circuits and Machine Learning

Melody Lee

Quantum computers have shown promise in improving algorithms in a variety of fields. The realization of these advancements is limited by the presence of noise and high error rates,…

quant-ph2025

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…

quant-ph2024

Modified Multiple Sequence Alignment Algorithm on Quantum Annealers (MAQ)

Melody Lee

We propose a modified MSA algorithm on quantum annealers with applications in areas of bioinformatics and genetic sequencing. To understand the human genome, researchers compare ex…

quant-ph2024★ 7 cited

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…