most citedData-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Simulating Circuit Layout for Distributed Quantum Computing

Sen Zhang, Yipie Liu, Brian Mark +3

The proposed framework represents the first tool to compile a quantum circuit across photonic-connected distributed quantum processors. Its design follows a divide-and-conquer para…

cs.ET2025

An End-to-End Distributed Quantum Circuit Simulator

Sen Zhang, Lingjun Xiong, Yipie Liu +4

Quantum computing has made substantial progress in recent years; however, its scalability remains constrained on a monolithic quantum processing unit (QPU). Distributed quantum com…

quant-ph2025★ 1 cited

QuSplit: Achieving Both High Fidelity and Throughput via Job Splitting on Noisy Quantum Computers

Jinyang Li, Yuhong Song, Yipei Liu +4

With the progression into the quantum utility era, computing is shifting toward quantum-centric architectures, where multiple quantum processors collaborate with classical computin…

cs.LG2024★ 1 cited

Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset

Yi Sheng, Junhuan Yang, Jinyang Li +6

As Artificial Intelligence (AI) increasingly integrates into our daily lives, fairness has emerged as a critical concern, particularly in medical AI, where datasets often reflect i…

quant-ph2024

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud

Zhepeng Wang, Yi Sheng, Nirajan Koirala +4

Benefiting from cloud computing, today's early-stage quantum computers can be remotely accessed via the cloud services, known as Quantum-as-a-Service (QaaS). However, it poses a hi…

quant-ph2024

QuApprox: A Framework for Benchmarking the Approximability of Variational Quantum Circuit

Jinyang Li, Ang Li, Weiwen Jiang

Most of the existing quantum neural network models, such as variational quantum circuits (VQCs), are limited in their ability to explore the non-linear relationships in input data.…