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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

Efficient Transpilation of OpenQASM 3.0 Dynamic Circuits to CUDA-Q: Performance and Expressiveness Advantages

Vinooth Kulkarni, Jaehyun Lee, Adam Hutchings +4

Dynamic quantum circuits with mid-circuit measurement and classical feedforward are essential for near-term algorithms such as error mitigation, adaptive phase estimation, and Vari…

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 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…

quant-ph2024

Efficient Circuit Wire Cutting Based on Commuting Groups

Xinpeng Li, Vinooth Kulkarni, Daniel T. Chen +5

Current quantum devices face challenges when dealing with large circuits due to error rates as circuit size and the number of qubits increase. The circuit wire-cutting technique ad…