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From the 1 of 5 linked papers with an AI index.

activity
20242026
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5 papers

quant-ph2026

SQD-Enabled Circuit Compression for Resource-Efficient Quantum Chemistry

Kangyu Zheng, Yidong Zhou, Jinglei Cheng +3

The paper introduces two methods—gradient-based operator pruning and Clifford rounding—to compress VQE circuits used with Subspace Quantum Diagonalization, achieving large reductio…

quant-ph2026

QuTuner: Feature- and Learning-Guided Optimization Pass Tuning for Quantum Compilers

Ming Zhong, Xiangyu Ren, Jinglei Cheng +2

Quantum compilers play a key role in transforming quantum circuits into lower-cost implementations with improved execution fidelity. This process is commonly guided by circuit-leve…

quant-ph2025

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Hanrui Wang, Pengyu Liu, Jinglei Cheng +10

Among different quantum algorithms, PQC for QML show promises on near-term devices. To facilitate the QML and PQC research, a recent python library called TorchQuantum has been rel…

quant-ph2024

Leveraging Hardware Power through Optimal Pulse Profiling for Each Qubit Pair

Yuchen Zhu, Jinglei Cheng, Boxi Li +3

In the scaling development of quantum computers, the calibration process emerges as a critical challenge. Existing calibration methods, utilizing the same pulse waveform for two-qu…

quant-ph2024

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout

Kecheng Liu, Yidong Zhou, Haochen Luo +6

In this paper, we propose an efficient compilation method for distributed quantum computing (DQC) using the Linear Nearest Neighbor (LNN) architecture. By exploiting the LNN topolo…