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quant-ph2026

SurgeQ: A Hybrid Framework for Ultra-Fast Quantum Processor Design and Crosstalk-Aware Circuit Execution

Xinxuan Chen, Hongxiang Zhu, Zhaohui Yang +4

Executing quantum circuits on superconducting platforms requires balancing the trade-off between gate errors and crosstalk. To address this, we introduce SurgeQ, a hardware-softwar…

quant-ph2025

CNOT Oriented Synthesis for Small-Scale Boolean Functions Using Spatial Structures of Parallelotopes

Qiang Zheng, Yongzhen Xu, Jiaxi Zhang +2

Quantum computing has garnered significant interest for its potential to achieve exponential speedups over classical approaches. However, in the Noisy Intermediate-Scale Quantum (N…

quant-ph2024

Super-Robust Nonadiabatic Holonomic Quantum Computation in coherence-protected Superconducting Circuits

Yuan-Sheng Wang, Zhaofeng Su, Xiaosong Chen +1

The schmeme of nonadiabatic holonomic quantum computation (NHQC) offers an error-resistant method for implementing quantum gates, capable of mitigating certain errors. However, the…

quant-ph2024

SDP for One-shot Dilution of Quantum Coherence

Yikang Zhu, Zhaofeng Su

Quantum coherence is one of the fundamental properties of quantum mechanics and also acts as a valuable resource for a variety of practical applications, which includes quantum com…

quant-ph2024

VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models

Yanling Lin, Ji Guan, Wang Fang +2

Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noi…

quant-ph2024

MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

Xusheng Xu, Jiangyu Cui, Zidong Cui +36

We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…