Quantum entanglement occurs when two or more systems interact in such a way that their quantum states become inseparably linked, regardless of the distance between them. This phenomenon is crucial for quantum computing as it allows for more complex and efficient computations compared to classical computing.
The UNESP team's research, now published as a Letter in Physical Review B, delved into how the Hellmann-Feynman theorem, a fundamental part of quantum mechanics, behaves under specific conditions. This theorem traditionally describes how a system's energy depends on a control parameter and is utilized across various scientific disciplines, from quantum chemistry to particle physics.
Valdeci Mariano de Souza, the study's last author and a professor at IGCE-UNESP, explained, "We propose a quantum analog of the Gruneisen parameter, commonly used in thermodynamics, to explore finite temperature and quantum critical points. Our quantum Gruneisen parameter measures entanglement, or von Neumann entropy, in relation to a control parameter, like a magnetic field or a certain level of pressure." He further added, "Our findings show that entanglement is maximized near quantum critical points, and interestingly, the Hellmann-Feynman theorem breaks down at these critical points."
These findings have significant implications not just for fundamental physics but also for the practical development of quantum computing. Recalling Intel co-founder Gordon Moore's 1965 prediction, known as Moore's Law, about the exponential growth of conventional computing power, Souza highlighted that this growth has limitations, whereas quantum computing is advancing rapidly. Leading tech companies such as Google and IBM are at the forefront of this burgeoning field.
In traditional computing, binary language (zeroes and ones) is used to process information. Quantum mechanics, on the other hand, superimposes states, thereby vastly increasing processing capacity. This growing research interest in quantum entanglement reflects the potential quantum computing holds for transforming the computational landscape.
Souza, who proposed and designed the study, was supported by Lucas Squillante, a postdoctoral researcher under his supervision. The research team also included notable contributors like Antonio Seridonio from UNESP Ilha Solteira, Roberto Lagos-Monaco from UNESP Rio Claro, Luciano Ricco from the University of Iceland, and Aniekan Magnus Ukpong from the University of KwaZulu-Natal in South Africa.
Research Report:Gruneisen parameter as an entanglement compass and the breakdown of the Hellmann-Feynman theorem
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