Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Liu, Zhenhuan"'
We present CD-NGP, which is a fast and scalable representation for 3D reconstruction and novel view synthesis in dynamic scenes. Inspired by continual learning, our method first segments input videos into multiple chunks, followed by training the mod
Externí odkaz:
http://arxiv.org/abs/2409.05166
We consider the certification of temporal quantum correlations using the pseudo-density matrix (PDM), an extension of the density matrix to the time domain, where negative eigenvalues are key indicators of temporal correlations. Conventional methods
Externí odkaz:
http://arxiv.org/abs/2409.02470
Estimating linear properties of quantum states, such as fidelities, molecular energies, and correlation functions, is a fundamental task in quantum information science. The classical shadow has emerged as a prevalent tool due to its efficiency in est
Externí odkaz:
http://arxiv.org/abs/2407.19499
Producing traversability maps and understanding the surroundings are crucial prerequisites for autonomous navigation. In this paper, we address the problem of traversability assessment using point clouds. We propose a novel pillar feature extraction
Externí odkaz:
http://arxiv.org/abs/2406.16564
Autor:
Liu, Zhenhuan, Wei, Fuchuan
Entanglement detection is one of the most fundamental tasks in quantum information science, playing vital roles in theoretical studies and quantum system benchmarking. Researchers have proposed many powerful entanglement criteria with high detection
Externí odkaz:
http://arxiv.org/abs/2403.01664
Quantum error mitigation is a key approach for extracting target state properties on state-of-the-art noisy machines and early fault-tolerant devices. Using the ideas from flag fault tolerance and virtual state purification, we develop the virtual ch
Externí odkaz:
http://arxiv.org/abs/2402.07866
Novel view synthesis for dynamic scenes is one of the spotlights in computer vision. The key to efficient dynamic view synthesis is to find a compact representation to store the information across time. Though existing methods achieve fast dynamic vi
Externí odkaz:
http://arxiv.org/abs/2312.11015
Accurate and robust estimation of quantum process properties is crucial for quantum information processing and quantum many-body physics. Combining classical shadow tomography and randomized benchmarking, Helsen et al. introduced a method to estimate
Externí odkaz:
http://arxiv.org/abs/2312.09643
Analog quantum simulation is an essential routine for quantum computing and plays a crucial role in studying quantum many-body physics. Typically, the quantum evolution of an analog simulator is largely determined by its physical characteristics, lac
Externí odkaz:
http://arxiv.org/abs/2311.00695
Autor:
Wei, Fuchuan, Liu, Zhenhuan, Liu, Guoding, Han, Zizhao, Ma, Xiongfeng, Deng, Dong-Ling, Liu, Zhengwei
Quantum mechanics features a variety of distinct properties such as coherence and entanglement, which could be explored to showcase potential advantages over classical counterparts in information processing. In general, legitimate quantum operations
Externí odkaz:
http://arxiv.org/abs/2308.07956