ArXiv Research Summary: quantum computing

arxiv_research_quantum_computing.md

ArXiv Research Summary: quantum computing

Generated on: 2025-07-16 12:43:52

Search Query

quantum computing

Papers Analyzed

Found 5 relevant papers:

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1. Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Authors: Zhen Xu, Hongyu Zhou, Sida Peng, Haotong Lin, Haoyu Guo, Jiahao Shao, Peishan Yang, Qinglin Yang, Sheng Miao, Xingyi He, Yifan Wang, Yue Wang, Ruizhen Hu, Yiyi Liao, Xiaowei Zhou, Hujun Bao ArXiv ID: 2507.11540v1 URL: https://arxiv.org/abs/2507.11540v1

Key Findings

• No key findings extracted

Methodology

Methodology not clearly identified in abstract

Datasets Used

• yet they face challenges in generalization and stability due to either the low-capacity model architectures or the reliance on domain-specific and small-scale
• that can facilitate their development
• with strong zero-shot generalization capabilities

Future Work

• and applications

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2. Koopman-von Neumann Field Theory

Authors: James Stokes ArXiv ID: 2507.11541v1 URL: https://arxiv.org/abs/2507.11541v1

Key Findings

• No key findings extracted

Methodology

Methodology not clearly identified in abstract

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3. Streaming 4D Visual Geometry Transformer

Authors: Dong Zhuo, Wenzhao Zheng, Jiahe Guo, Yuqi Wu, Jie Zhou, Jiwen Lu ArXiv ID: 2507.11539v1 URL: https://arxiv.org/abs/2507.11539v1

Key Findings

• No key findings extracted

Methodology

Methodology not clearly identified in abstract

Datasets Used

• geometry perception

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4. Understanding Quantum Information and Computation

Authors: John Watrous ArXiv ID: 2507.11536v1 URL: https://arxiv.org/abs/2507.11536v1

Key Findings

• No key findings extracted

Methodology

Methodology not clearly identified in abstract

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5. Canonical Bayesian Linear System Identification

Authors: Andrey Bryutkin, Matthew E. Levine, Iñigo Urteaga, Youssef Marzouk ArXiv ID: 2507.11535v1 URL: https://arxiv.org/abs/2507.11535v1

Key Findings

• No key findings extracted

Methodology

Methodology not clearly identified in abstract

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Summary

This research summary was automatically generated using ArXiv search and information extraction. Each paper's abstract was analyzed to extract key findings, methodology, datasets, limitations, and future work.

For more detailed information, please refer to the original papers using the ArXiv URLs provided above.