**Summary:**
A new method for detecting topological invariants in quantum materials has been developed by scientists at the Raman Research Institute. This approach utilizes the spectral function, a "quantum fingerprint," to reveal hidden topological properties without direct observation. The research, published in *Physical Review B*, demonstrates that the spectral function, traditionally used to study electron behavior, also contains signatures of a material's topology, such as winding numbers and Chern numbers. This discovery offers a potential universal tool for exploring and classifying topological materials, with implications for advancements in quantum computing, next-generation electronics, and energy efficiency. The method involves analyzing the momentum-space spectral function (SPSF) and presents an alternative to techniques like Angle-Resolved Photoemission Spectroscopy (ARPES).
Key Entities Referenced
Ministry of Science Technology: Governmental organization responsible for science and technology
PIB Delhi: Press Information Bureau, Delhi - likely the source of the press release.
26 MAY 2025: Date of the press release.
topological invariant: A property of topological space that remains unchanged under continuous deformations or transformations.
quantum materials: Materials with properties governed by quantum mechanics.
Topological materials: Materials at the forefront of next-gen technology, including quantum computing, fault-tolerant electronics, and energy-efficient systems.
Raman Research Institute: An autonomous institute of the Department of Science and Technology.
Department of Science and Technology: A governmental department related to science and technology.
spectral function: A property used to detect the hidden code in exotic materials, described as a quantum fingerprint that reveals how energy and particles behave inside the material.
Professor Dibyendu Roy: A scientist from the Raman Research Institute involved in the research.
Kiran Babasaheb Estake: A PhD researcher from the Raman Research Institute involved in the research.
SPSF: momentumspace spectral function
ARPES AngleResolved Photoemission Spectroscopy: A technique used to study electron behaviour.
Physical Review B: The journal in which the new research was published.
Winding numbers: topological invariants in 1D systems.
Chern numbers: topological invariants in 2D systems.
RRI: Abbreviation of Raman Research Institute.
NKRPSM Release ID: 2131350: Release identification number
Ministry of Science & Technology
New code for detecting hidden properties of exotic
materials
Posted On: 26 MAY 2025 5:04PM by PIB Delhi
Scientists have found a new way of spotting a property of topological space called topological invariant in
quantum materials, that remains unchanged under continuous deformations or transformations.
Topological materials are at the forefront of next-gen technology—quantum computing, fault-tolerant
electronics, and energy-efficient systems. But detecting their exotic properties has always been tricky.
Topological invariance implies that if you can deform one shape into another without cutting or gluing, any
topological invariant will be the same for both shapes. A popular analogy is the wada (or a donut) and a coffee
cup. Since both the wada and the coffee cup have one hole, they are topologically equivalent. On the other
hand, a wada and an idli are not, since you cannot continuously deform one into another as they have different
numbers of holes. This idea of counting holes is key to understanding the hidden properties of exotic
materials.
In certain materials like topological insulators and superconductors, strange things happen. Electrons behave
differently depending on how the material is "shaped" at the quantum level. These shapes are defined not by
their appearance, but by something deeper—topological invariants, such as winding numbers (in 1D systems)
and Chern numbers (in 2D systems). These numbers are like hidden codes that determine how particles move
through a material.
Fig 1: Representation of what is topological equivalence
A team from the Raman Research Institute, an autonomous institute of the Department of Science and
Technology, found a new way to detect this hidden code using a property called the spectral function. This is
something like a quantum fingerprint that reveals how energy and particles behave inside the material.
Professor Dibyendu Roy and PhD researcher Kiran Babasaheb Estake have carried this out by analyzing themomentum-space spectral function (SPSF).
Traditionally, scientists used techniques like ARPES (Angle-Resolved Photoemission Spectroscopy) to study
electron behaviour. The new research published in Physical Review B. showed that the same spectral function
holds clues to the material’s hidden topology—a revolutionary way to “see” the structure without directly
observing it.
Fig 2: Representation of Winding number & Chern number
“The spectral function has been used since many years as an experimental tool to probe the physical quantities
such as density of states and the dispersion relation of electrons in a system through ARPES. It was not seen
as a tool to probe topology or topological aspects of an electronic system.” said Kiran Babasaheb Estake, PhD
student in theoretical Physics at RRI and the lead author.
“We have demonstrated through various examples that the spectral function also contains signatures about the
topology of a system,” he added.
The study potentially offers a universal tool to explore and classify topological materials, that could pave the
way for new discoveries in condensed matter physics that could be useful for quantum computers, next
generation electronics, and facilitate energy-efficiency.
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NKR/PSM
(Release ID: 2131350)