Close Menu
geekfence.comgeekfence.com
    What's Hot

    From resumes to results: Findem bets on verified hiring with Glider AI 

    March 29, 2026

    Test and measurement gets an AI upgrade

    March 29, 2026

    Do AI Coding Assistants Powered by LLMs Reduce the Need for Programmers?

    March 29, 2026
    Facebook X (Twitter) Instagram
    • About Us
    • Contact Us
    Facebook Instagram
    geekfence.comgeekfence.com
    • Home
    • UK Tech News
    • AI
    • Big Data
    • Cyber Security
      • Cloud Computing
      • iOS Development
    • IoT
    • Mobile
    • Software
      • Software Development
      • Software Engineering
    • Technology
      • Green Technology
      • Nanotechnology
    • Telecom
    geekfence.comgeekfence.com
    Home»Nanotechnology»A breakthrough in modelling open quantum matter – Physics World
    Nanotechnology

    A breakthrough in modelling open quantum matter – Physics World

    AdminBy AdminFebruary 26, 2026No Comments3 Mins Read2 Views
    Facebook Twitter Pinterest LinkedIn Telegram Tumblr Email
    A breakthrough in modelling open quantum matter – Physics World
    Share
    Facebook Twitter LinkedIn Pinterest Email


    By analysing the Liouville gap in imaginary time, scientists reveal universal phase‑transition behaviour in both ground and finite‑temperature states

    Quantum time illustration

    Quantum time illustration (Courtesy: iStock/Agsandrew)

    Attempts to understand quantum phase transitions in open systems usually rely on real‑time Lindbladian evolution, which tracks how a quantum state changes as it relaxes toward a steady state. This approach is powerful for studying decoherence, dissipation and long‑time behaviour, but it often fails to reveal the deeper structure of the system including the phase transitions, critical points and hidden quantum order that define its underlying physics.

    In this work, the researchers introduce a new framework called imaginary‑time Lindbladian evolution, which allows them to define and classify quantum phases in open systems using the spectrum of an imaginary‑Liouville superoperator. This approach works not only for pure ground states but also for finite‑temperature Gibbs states of stabilizer Hamiltonians, showing its relevance for realistic, mixed‑state conditions.

    A key diagnostic in their method is the imaginary‑Liouville gap, the spectral gap between the lowest and next‑lowest decay modes. When this gap closes, the system undergoes a phase transition, a change that is accompanied by diverging correlation lengths and nonanalytic shifts in physical observables. The closing of this gap also coincides with the divergence of the Markov length, a recently proposed indicator of criticality in open quantum systems.

    To demonstrate the power of their framework, the researchers map out phase diagrams for systems with

    Z2σ×Z2τ

    symmetry, capturing both spontaneous symmetry breaking and average symmetry‑protected topological phases. Their method reveals universal critical behaviour that real‑time Lindbladian steady states fail to detect, highlighting why imaginary‑time evolution fills a missing piece in the theory of open‑system phases.

    Importantly, the authors emphasise that real‑time Lindbladians remain essential for modelling dissipation in practical settings. Their new framework complements this conventional approach, offering a systematic way to study phase transitions in open systems. They also outline how phase diagrams can be constructed using both bottom‑up (state‑based) and top‑down (Hamiltonian‑based) strategies, illustrating the method with a dissipative transverse‑field Ising model.

    Overall, this work provides a unified and versatile way to understand quantum phases in open systems, revealing critical behaviour and topological structure that were previously inaccessible. It opens new directions for studying mixed‑state quantum matter and advances the theoretical foundations needed for future quantum technologies.

    Do you want to learn more about this topic?

    Focus on Quantum Entanglement: State of the Art and Open Questions guest edited by Anna Sanpera and Carlo Marconi (2025-2026)



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email

    Related Posts

    Universal logical operations in a silicon quantum processor

    March 29, 2026

    Superconductivity’s new contender

    March 28, 2026

    6-Channel Piezo Driver for Piezo Stacks, Transducers, Scanner Tubes, and Precision Actuators

    March 27, 2026

    First ever atomic movie reveals hidden driver of radiation damage

    March 26, 2026

    Advancing traumatic brain injury diagnosis through nanomaterial-based imaging technologies

    March 24, 2026

    Magnetic circular dichroism imaging of atomic-scale antiferromagnetic order at a buried interface

    March 23, 2026
    Top Posts

    Understanding U-Net Architecture in Deep Learning

    November 25, 202527 Views

    Hard-braking events as indicators of road segment crash risk

    January 14, 202624 Views

    Redefining AI efficiency with extreme compression

    March 25, 202619 Views
    Don't Miss

    From resumes to results: Findem bets on verified hiring with Glider AI 

    March 29, 2026

    Findem’s acquisition of Glider AI signals an inevitable shift in talent acquisition from operational efficiency to outcome-driven hiring. Enterprises are moving beyond speed-based metrics…

    Test and measurement gets an AI upgrade

    March 29, 2026

    Do AI Coding Assistants Powered by LLMs Reduce the Need for Programmers?

    March 29, 2026

    Excel 101: Cell and Column Merge vs Combine

    March 29, 2026
    Stay In Touch
    • Facebook
    • Instagram
    About Us

    At GeekFence, we are a team of tech-enthusiasts, industry watchers and content creators who believe that technology isn’t just about gadgets—it’s about how innovation transforms our lives, work and society. We’ve come together to build a place where readers, thinkers and industry insiders can converge to explore what’s next in tech.

    Our Picks

    From resumes to results: Findem bets on verified hiring with Glider AI 

    March 29, 2026

    Test and measurement gets an AI upgrade

    March 29, 2026

    Subscribe to Updates

    Please enable JavaScript in your browser to complete this form.
    Loading
    • About Us
    • Contact Us
    • Disclaimer
    • Privacy Policy
    • Terms and Conditions
    © 2026 Geekfence.All Rigt Reserved.

    Type above and press Enter to search. Press Esc to cancel.