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Zixuan Song

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph3
  • stat.ML1
same name
  • Zixuan Song — 7 papers, h 11
  • Zixuan Song — 2 papers, h 3
  • Zixuan Song — 1 paper
  • Zixuan Song — 1 paper, h 2
  • Zixuan Song — 1 paper, h 1
  • Zixuan Song — 1 paper, 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

most citedObservation of Two-Vertex Four-Dimensional Spin Foam Amplitudes with a 10-qubit Superconducting Quantum Processor

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

quant-ph2020★ 2 cited

Observation of Two-Vertex Four-Dimensional Spin Foam Amplitudes with a 10-qubit Superconducting Quantum Processor

Pengfei Zhang, Zichang Huang, Chao Song +8

Quantum computers are an increasingly hopeful means for understanding large quantum many-body systems bearing high computational complexity. Such systems exhibit complex evolutions…

quant-ph2020

Scalable evaluation of quantum-circuit error loss using Clifford sampling

Zhen Wang, Yanzhu Chen, Zixuan Song +6

A major challenge in developing quantum computing technologies is to accomplish high precision tasks by utilizing multiplex optimization approaches, on both the physical system and…

quant-ph2019

Observation of energy resolved many-body localization

Qiujiang Guo, Chen Cheng, Zheng-Hang Sun +10

Many-body localization (MBL) describes a quantum phase where an isolated interacting system subject to sufficient disorder displays non-ergodic behavior, evading thermal equilibriu…

stat.ML2019

Variable selection with false discovery rate control in deep neural networks

Zixuan Song, Jun Li

Deep neural networks (DNNs) are famous for their high prediction accuracy, but they are also known for their black-box nature and poor interpretability. We consider the problem of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.