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20232026
most citedTomography-assisted noisy quantum circuit simulator using matrix product density operators

2 citations · 2 across the 6 of their papers we have counts for

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quant-ph2026

Pulse-Level Compilation of Measurement-Free Recovery in Transmon Circuits

Yi-Han Yu, Kai Xu, Heng Fan

Quantum error correction commonly relies on syndrome measurement, decoding, and conditional feedback. We numerically show that the conditional spectrum of an interacting transmon c…

quant-ph2026

QROB: Quantifying Realization Overhead in Quantum Compilation via Reverse Construction

Jintao Li, Kaiqi Li, Rui Wang +7

Quantum compilation reconciles a program's idealized interaction topology with hardware locality constraints, yet evaluations at scale lack calibrated references for realization ov…

quant-ph2026

A superconducting qutrit link beyond the qubit limit

Xiang Li, Zheng-Yang Mei, Yang He +7

Superconducting microwave links have enabled deterministic state transfer and remote entanglement between qubits, but deterministic links have so far operated with an effectively t…

quant-ph2026

Demonstration of High-Fidelity Gates in a Strongly Anharmonic with Long-Coherence C-Shunt Flux Qubit

Silu Zhao, Li Li, Weiping Yuan +13

We demonstrate high-fidelity single-qubit gates on a C-shunt flux qubit that simultaneously combines a large anharmonicity () with long relaxation…

quant-ph20252 cited

Tomography-assisted noisy quantum circuit simulator using matrix product density operators

Wei-guo Ma, Yun-Hao Shi, Kai Xu +1

In recent years, efficient quantum circuit simulations incorporating ideal noise assumptions have relied on tensor network simulators, particularly leveraging the matrix product de…

quant-ph20256 cited

Experimental Extraction of Coherent Ergotropy and Its Energetic Cost in a Superconducting Qubit

Li Li, Silu Zhao, Yun-Hao Shi +4

Quantum coherence, encoded in the off-diagonal elements of a system's density matrix, is a key resource in quantum thermodynamics, fundamentally limiting the maximum extractable wo…