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quant-ph2026

InterQ: Communication-Aware Scheduling Across Modular QPUs with Classical and Quantum Links

Vinooth Kulkarni, Jaehyun Lee, Lauren Li +5

As quantum computing scales toward practical workloads, future systems are expected to move beyond single monolithic processors toward modular architectures that connect multiple Q…

quant-ph2026

QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting

Vinooth Kulkarni, Aaron Orenstein, Xinpeng Li +3

The quantum computing community is increasingly positioning quantum processors as accelerators within classical HPC workflows, analogous to GPUs and TPUs. However, many real-world…

quant-ph2025

Quantum Hyperdimensional Computing: a foundational paradigm for quantum neuromorphic architectures

Fabio Cumbo, Rui-Hao Li, Bryan Raubenolt +4

A significant challenge in quantum computing (QC) is developing learning models that truly align with quantum principles, as many current approaches are complex adaptations of clas…

quant-ph2025

Efficient Quantum Protein Structure Prediction with Problem-Agnostic Ansatzes

Hanna Linn, Rui-Hao Li, Alexander Holden +6

Accurately predicting protein structures from amino acid sequences remains a fundamental challenge in computational biology, with profound implications for understanding biological…

quant-ph2025

Quantum Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice

Rui-Hao Li, Hakan Doga, Bryan Raubenolt +16

In this work, we present the first implementation of the face-centered cubic (FCC) lattice model for protein structure prediction with a quantum algorithm. Our motivation to encode…