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Hong X. Tang

7 papers hereh-index 210 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • quant-ph4
  • cond-mat.mes-hall1
  • physics.atom-ph1
  • physics.optics1
same name
  • Hong X. Tang — 124 papers, h 60
  • Hong X. Tang — 12 papers, h 8
  • Hong X. Tang — 6 papers, h 3
  • Hong X. Tang — 4 papers, h 2
  • Hong X. Tang — 3 papers, h 1
  • Hong X. Tang — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing quant-phShow all

4 papers · 1 filter

quant-ph2026

A K-band Kinetic Inductance Parametric Amplifier Near the Quantum Limit

Chaofan Wang, Shihan Liu, Yufeng Wu +4

Advancing superconducting quantum devices to higher operating frequencies broadens their functionality and enables operation at elevated temperatures, but it also requires near-qua…

quant-ph2026

A frequency-agile microwave-optical interface for superconducting qubits

Yufeng Wu, Yiyu Zhou, Haoqi Zhao +4

Superconducting quantum processors operate at microwave frequencies in millikelvin environments, making it challenging to interconnect distant nodes using conventional microwave wi…

quant-ph2025

Hidden Structural Variants in ALD NbN Superconducting Trilayers Revealed by Atomistic Analysis

Prachi Garg, Danqing Wang, Hong X. Tang +1

Microscopic inhomogeneity within superconducting films is a critical bottleneck hindering the performance and scalability of quantum circuits. All-nitride Josephson Junctions (JJs)…

quant-ph2025

All-nitride superconducting qubits based on atomic layer deposition

Danqing Wang, Yufeng Wu, Naomi Pieczulewski +6

The development of large-scale quantum processors benefits from superconducting qubits that can operate at elevated temperatures and be fabricated with scalable, foundry-compatible…

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