MicroCloud Hologram Inc. Develops Local Quantum Coherence (LQC) for Precise Detection of Quantum Phase Transition (QPT) Phenomena in Multi-Model Systems
SHENZHEN, China, Feb. 20, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they focuses on the in-depth exploration of the connection between local quantum coherence (LQC) and quantum phase transition (QPT), providing new perspectives and theoretical foundations for understanding the characteristics and transition mechanisms of quantum systems.
The study of quantum phase transitions is of crucial importance for revealing the mysteries of quantum many-body systems, as well as for developing novel quantum materials and quantum devices. However, accurately detecting and understanding the process of quantum phase transitions has remained one of the key challenges in this field. HOLO introduces the important concept of local quantum coherence (LQC), based on Wigner-Yanase skew information, to study quantum phase transitions. Wigner-Yanase skew information is a significant quantity in quantum information theory, capable of characterizing the non-classical properties of quantum states. Local quantum coherence focuses on the quantum coherence properties in local regions of a quantum system. This coherence is one of the key distinguishing features between quantum and classical systems, reflecting the superposition property of quantum states and the degree of entanglement between quantum bits. In their research, HOLO applies LQC to several typical quantum models, including the one-dimensional Hubbard model with three-spin interactions, the XY spin chain model, and the Su-Schrieffer-Heeger model. The one-dimensional Hubbard model is an important model for describing the motion and interaction of electrons in a lattice and is widely used in condensed matter physics to study the properties of strongly correlated electron systems. The XY spin chain model mainly investigates the interactions between spins and the resulting quantum state properties. The Su-Schrieffer-Heeger model is commonly used to describe the electronic structure and superconducting phenomena in organic polymers.
Through in-depth studies of these models, HOLO discovered that LQC and its derivatives can successfully be used to detect different types of quantum phase transitions in spin and fermion systems. In these models, quantum phase transitions lead to significant changes in the system's quantum states, and LQC is able to sensitively capture these changes. For example, in the one-dimensional Hubbard model, when the system undergoes a quantum phase transition from a metallic phase to an insulating phase, the value of LQC shows a clear discontinuity, which corresponds to the critical point of the quantum phase transition, providing a clear signal for determining the occurrence of the quantum phase transition. In the XY spin chain model, LQC can accurately reflect the changes in the correlation between spins during the quantum phase transition process, helping to deepen the understanding of the microscopic mechanisms behind quantum phase transitions.
Additionally, HOLO also investigated the role of LQC in detecting quantum phase transitions at finite temperatures. In real quantum systems, temperature often cannot be ignored, and finite temperatures can affect quantum states, potentially causing some quantum properties to vanish. In such cases, traditional tools used for detecting quantum phase transitions, such as entanglement, may lose their effectiveness. However, HOLO's research shows that LQC, as a manifestation of quantum discord (QD), can still effectively detect quantum phase transitions at finite temperatures. Quantum discord is a broader measure of quantum correlations, which not only includes entanglement as a strong form of quantum correlation but also encompasses non-entangled yet quantum-correlated states. As a specific manifestation of quantum discord, LQC can capture subtle changes in quantum correlations within a system at finite temperatures, providing a new approach for detecting quantum phase transitions.
HOLO further demonstrated that, compared to quantum dots, LQC can exhibit different behaviors in various forms. Quantum dots are zero-dimensional quantum systems with unique quantum properties, commonly used in fields like quantum information processing and quantum computing. The behavior of LQC in quantum dot systems differs from that in other quantum systems, as it is influenced by factors such as the size, shape, and surrounding environment of the quantum dot. Through comparative studies, HOLO discovered that LQC displays a rich variety of characteristics in different quantum systems, providing important clues for further understanding the nature of quantum systems and for the development of novel quantum technologies.
HOLO's research on the connection between LQC and QPT offers new theoretical tools and research methods for the study of quantum phase transitions. This achievement not only helps deepen our understanding of the fundamental properties of quantum many-body systems but also provides potential application directions for the design of future quantum materials and the development of quantum devices.
About MicroCloud Hologram Inc.
MicroCloud is committed to providing leading holographic technology services to its customers worldwide. MicroCloud's holographic technology services include high-precision holographic light detection and ranging ("LiDAR") solutions, based on holographic technology, exclusive holographic LiDAR point cloud algorithms architecture design, breakthrough technical holographic imaging solutions, holographic LiDAR sensor chip design and holographic vehicle intelligent vision technology to service customers that provide reliable holographic advanced driver assistance systems ("ADAS"). MicroCloud also provides holographic digital twin technology services for customers and has built a proprietary holographic digital twin technology resource library. MicroCloud's holographic digital twin technology resource library captures shapes and objects in 3D holographic form by utilizing a combination of MicroCloud's holographic digital twin software, digital content, spatial data-driven data science, holographic digital cloud algorithm, and holographic 3D capture technology. For more information, please visit http://ir.mcholo.com/
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