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Scientists have identified a model system of quantum critical points to understand new materials better.
Scientists Identify Quantum Critical Points Model for Better Understanding New Materials
- Quantum Critical Points Model: This model can help understand unusual behaviors in materials near a quantum critical point and may be used in comprehending entanglement and quantum computing.
- Challenges with Established Framework: Silicon and other well-studied materials are understood with the help of well-established frameworks, such as the widely used density functional theory.
- However, new materials like transition metal oxides, manganates, ruthenate, and iridates are difficult to understand using these frameworks.
- Promise for Advanced Applications: The unique properties of these materials, such as sensitivity to small perturbations, make them promising for advanced applications in devices like sensors, GPS, and memory RAM.
- Quantum Critical Point: A quantum critical point is a point in the phase diagram of a material where a continuous phase solution takes place at absolute zero.
- Density Functional Theory: It is based on the theorem that the ground state energy and properties of a system are uniquely determined by the electron density of a system.
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What Is Quantum Computing?
- Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers.
- Classical computers encode information in binary “bits” that can either be 0s or 1s. In a quantum computer, the basic unit of memory is a quantum bit or qubit.
What Is Quantum Entanglement?
- Entanglement is at the heart of quantum physics and future quantum technologies.
- The phenomenon of entanglement reveals itself at very tiny, subatomic scales.
- When two particles, such as photons or electrons, become entangled, they remain connected even when separated by vast distances.
- In simplest terms, Quantum entanglement means that the aspect of one particle of an entangled pair depends on aspects of the other particle, no matter how far apart they are or what lies between them.
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News Source: Spiceworks , IBM, PIB
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