Our platform interface – easy to use even for tech novices – lets you customize your 3D virtual apartment tour by adding descriptions and distinctive features in minutes. That’s how buyers can ‘walk through’ the walls, get a real-life feel for distances between objects, or spin around for different perspectives. It portrays every room detail in the property for sale – from bathroom fittings to kitchen cupboards, alcoves, and balconies. The technology powering our virtual tour platform packs photo-realistic 3D models of homes generated from sharp-quality visuals to replicate real-life locations. The real-world customer data behind QiSpace® indicates an average of 50% spike in new-build and off-plan sales after you start your journey with virtual apartment tours. Our 3D visualization platform is full-fledged to turn your listings into a tool that converts viewers into buyers. Leverage 3D virtual tours to grow your sales by at least 50% This can sometimes be a crucial factor when investing in real estate. This makes it easier for them to compare different properties and determine which one they intend to purchase or rent.īesides, if the buyer’s family lives in different regions, all members can still be involved without being physically present. With virtual apartment tours, they can view as many listings as they like, saving time and gas money traveling from place to place. QiSpace® helps buyers drink it all in when they see your property portfolio. And you don’t have to install specific software or hardware to put together your real estate virtual tours. The visualization platform uses our proprietary software to create 360-degree interactive images. Thanks to QiSpace®, you don’t have to imagine it – you can make it real and engage viewers emotionally from the get-go. Imagine showing potential homeowners everything from the layout and design to the materials used in a new-build project. This is a MSc thesis at Ludwig-Maximilians-Universität München.The virtual tour platform turned into a riveting selling tool Notice: Copyright © 2021 Zhang Chang-kai. This version is released on March 12, 2021 This document can be accessed here: Tensor Networks Remarkably, we find that the SU(2) symmetric ground state has a lower energy than the U(1) symmetric ground state with striped charge and spin orders found in previous iPEPS calculations. Specifically, we investigate the U(1) and SU(2) symmetric ground state properties of next-nearest neighbor Hubbard model with next-nearest neighbor hopping amplitude t 2 = -0.25 at 1/8 hole doping. nearest-neighbor Heisenberg model) and an exactly solvable free-fermion model. We validate our iPEPS implementation using well-understood models (e.g. The quantum lattice models studied in this thesis include the Heisenberg model, the free-fermion model and the Hubbard model. This dramatically reduces the numerical costs and allows quantum states which conserve different types of symmetries can be studied. The QSpace tensor library is utilized to automatically keep track of the U(1) or SU(2) symmetry of the tensors. Therefore, it is particularly suitable for studying fermionic models such as the Hubbard model where numerous captivating phenomena including high-T c superconductivity may emerge.Ī unique feature of our iPEPS algorithms is the capability to exploit symmetries. Compared with other popular numerical methods such as the Density Matrix Renormalization Group (DMRG) and Quantum Monte Carlo (QMC) method, iPEPS is especially competitive in its faithful representation of the entanglement area law and is free from the sign problem. In this thesis, we employ the infinite Projected Entangled-Pair State (iPEPS) tensor network to simulate 2-dimensional quantum models defined on a square lattice with nearest-neighbor and next-nearest neighbor interactions. Tensor network techniques provide a compelling framework to circumvent the complexity problem. However, direct treatment of a many-body system is close to impossible due to the exponentially large number of degrees of freedom. Various fascinating phenomena and phases of matter that emerge from the strongly correlated many-body systems have received much interest in condensed matter physics.
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