• Quest for quantum materials through bett

    From ScienceDaily@1:317/3 to All on Mon Feb 14 21:30:48 2022
    Quest for quantum materials through better measurement of quantum
    entanglement

    Date:
    February 14, 2022
    Source:
    The University of Hong Kong
    Summary:
    A research team has developed a new algorithm to measure
    entanglement entropy, advancing the exploration of more
    comprehensive laws in quantum mechanics, a move closer towards
    actualization of application of quantum materials.



    FULL STORY ==========================================================================
    A research team from the Department of Physics, the University of Hong
    Kong (HKU) has developed a new algorithm to measure entanglement entropy, advancing the exploration of more comprehensive laws in quantum mechanics,
    a move closer towards actualisation of application of quantum materials.


    ==========================================================================
    This pivotal research work has recently been published in Physical
    Review Letters.

    Quantum materials play a vital role in propelling human advancement. The
    search for more novel quantum materials with exceptional properties has
    been pressing among the scientific and technology community.

    2D Moire materials such as twisted bilayer graphene are having a
    far-reaching role in the research of novel quantum states such as superconductivity which suffers no electronic resistance. They also play
    a role in the development of "quantum computers" that vastly outperforming
    the best supercomputers in existence.

    But materials can only arrive at "quantum state" , i.e. when thermal
    effects can no longer hinder quantum fluctuations which trigger the
    quantum phase transitions between different quantum states or quantum
    phases, at extremely low temperatures (near Absolute Zero, -273.15DEGC)
    or under exceptional high pressure. Experiments testing when and how
    atoms and subatomic particles of different substances "communicate and
    interact with each other freely through entanglement" in quantum state
    are therefore prohibitively costly and difficult to execute.

    The study is further complicated by the failure of classical LGW (Landau, Ginzburg, Wilson) framework to describe certain quantum phase transitions, dubbed Deconfined Quantum Critical Points (DQCP). The question then
    arises whether DQCP realistic lattice models can be found to resolve
    the inconsistencies between DQCP and QCP. Dedicated exploration of the
    topic produces copious numerical and theoretical works with conflicting results, and a solution remains elusive.



    ==========================================================================
    Mr Jiarui ZHAO, Dr Zheng YAN, and Dr Zi Yang MENG from the Department
    of Physics, HKU successfully made a momentous step towards resolving
    the issue through the study of quantum entanglement, which marks the fundamental difference between quantum and classical physics.

    The research team developed a new and more efficient quantum algorithm
    of the Monte Carlo techniques adopted by scientists to measure the Renyi entanglement entropy of objects. With this new tool, they measured the
    Re'nyi entanglement entropy at the DQCP and found the scaling behaviour
    of the entropy, i.e. how the entropy changes with the system sizes,
    is in sharp contrast with the description of conventional LGW types of
    phase transitions.

    "Our findings helped confirm a revolutionised understanding of phase
    transition theory by denying the possibility of a singular theory
    describing DQCP. The questions raised by our work will contribute to
    further breakthroughs in the search for a comprehensive understanding
    of unchartered territory," said Dr Zheng Yan.

    "The finding has changed our understanding of the traditional phase
    transition theory and raises many intriguing questions about deconfined
    quantum criticality. This new tool developed by us will hopefully help
    the process of unlocking the enigma of quantum phase transitions that has perplexed the scientific community for two decades," said Mr Zhao Jiarui,
    the first author of the journal paper and a PhD student who came up with
    the final fixes of the algorithm.

    "This discovery will lead to a more general characterisation of the
    critical behaviour of novel quantum materials, and is a move closer
    towards actualisation of application of quantum materials which play a
    vital role in propelling human advancement." Dr Meng Zi Yang remarked.

    The models To test the efficiency and superior power of the algorithm
    and demonstrate the distinct difference between the entanglement entropy
    of normal QCP between DQCP, the research team chose two representative
    models -- the J1-J2 model hosting normal O(3) QCP and the J-Q3 model
    hosting DQCP, as shown in Image 2.

    Nonequilibrium increment algorithm Based on previous methods, the
    research team created a highly paralleled increment algorithm. As
    illustrated in Image 3, to the main idea of the algorithm is to divide
    the whole simulation task into many smaller tasks and uses massive CPUs
    to parallelly execute the smaller tasks thus greatly decreasing the
    simulation time. This improved method helped the team to simulate the two models previously mentions with high efficiency and better data quality.

    ========================================================================== Story Source: Materials provided by The_University_of_Hong_Kong. Note:
    Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Jiarui Zhao, Yan-Cheng Wang, Zheng Yan, Meng Cheng, Zi Yang
    Meng. Scaling
    of Entanglement Entropy at Deconfined Quantum Criticality. Physical
    Review Letters, 2022; 128 (1) DOI: 10.1103/PhysRevLett.128.010601 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2022/02/220214111807.htm

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