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quant-ph2025

Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing

Ruilin Zhou, Jinglei Cheng, Yuhang Gan +2

Efficiently mapping quantum programs onto Distributed quantum computing (DQC) are challenging, particularly when considering the heterogeneous quantum processing units (QPUs) with…

quant-ph2025

Quantum repeaters enhanced by vacuum beam guides

Yu Gan, Mohadeseh Azari, Nitish Kumar Chandra +4

The development of large-scale quantum communication networks faces critical challenges due to photon loss and decoherence in optical fiber channels. These fundamentally limit tran…

quant-ph2025

Towards identifying possible fault-tolerant advantage of quantum linear system algorithms in terms of space, time and energy

Yue Tu, Mark Dubynskyi, Mohammadhossein Mohammadisiahroudi +5

Quantum computing, a prominent non-Von Neumann paradigm beyond Moore's law, can offer superpolynomial speedups for certain problems. Yet its advantages in efficiency for tasks like…

quant-ph2024

The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits

Yuqing Li, Jinglei Cheng, Xulong Tang +3

Quantum machine learning is considered one of the flagship applications of quantum computers, where variational quantum circuits could be the leading paradigm both in the near-term…

quant-ph2024

Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation

Jinglei Cheng, Ruilin Zhou, Yuhang Gan +2

We present a quantum-inspired algorithm that utilizes Quantum Hamiltonian Descent (QHD) for efficient community detection. Our approach reformulates the community detection task as…