Physical systems evolve at a certain speed, which depends on various factors including the so-called topological structure of the system (i.e. spatial properties that are maintained over time despite any physical changes that occur). Existing methods for determining the speed at which physical systems change over time, however, do not take into account these structural properties.
Two researchers at Keio University in Japan recently derived a speed limit for the evolution of physical states that also explains the system’s topological structure and underlying dynamics. This speed limit was specified in research published in Physical review letterscan have many valuable applications for the study and development of various physical systemsincluding quantum technologies.
Knowing how quickly the state of a system can change is a central topic in classical language and Quantum mechanics“Understanding the mechanism of time control has to do with engineering fast devices such as quantum computers,” Tan Van Fu, the two researchers who conducted the study, told Phys.org.
The idea was that there is a limit to the operational time required for a system to transition from one physical state to another introduced for the first time Several decades ago by Leonid Isakovich Mandelstam and Igor Tam. Since then, other research teams have explored this idea further, finding similar limitations that can be applied to different kinds of physics systems.
Vu and Saito explain that “these limits, which are called ‘speed limits,’ determine the final rates at which the system can evolve into a recognizable state and have found a variety of applications.” However, conventional speed limits It has the disadvantage of offering any meaningful limits as system size grows. One explanation is that the topological nature of the dynamics, which arises from the network structure of the underlying dynamics, has not been properly considered.”
A major goal of recent work by Vu and Saito has been to establish a new velocity limit that also takes into account the topological structure of a physical system and its underlying dynamics. This could eventually help establish strict quantum limits, which could reveal the physical mechanism underlying transitions from one state to another. Notably, this cannot be achieved using any of the velocity methodologies presented so far.
“Our idea is to use a generalized version of the discrete Wasserstein distance to determine the distance between states,” Fu and Saito said. “Wasserstein distance arises from the idea of determining the number and quantity of a stack of goods that must be moved to create another mass of goods from one mass. This distance, used extensively in optimal transport theory, encodes topological information and can grow proportionally to the size of the system.”
To derive the uniform topological speed limit, Vu and Saito map the time evolution of the physical states of the optimal transport problem, exploiting the properties of the optimal transport distance. As part of their study, they also demonstrated the validity of their approach by applying it to chemical interaction networks and the interaction of many-body quantum systems.
“In our opinion, the most remarkable finding of our study is the discovery of a topological velocity limit that yields accurate predictions of run times and can be applied to a wide range of dynamics,” Fu and Seto said.
The new topological speed limit introduced by this team of researchers could eventually be applied to research in different areas of physics, potentially improving current understanding of different systems, and in some cases facilitating their use to develop new technologies. For example, lets create a velocity formula for chimical interactionas well as setting global limits on the speed of boson transport and communication through spin systems.
“In the future, we plan to explore more applications of topological velocity limits derived from different directions,” Fu and Saito added. “to benefit from Speed Reduction in order to better understand the underlying mechanisms of physical phenomena, such as heat treatment of closed and open systems, is a promising approach.”
Tan Van Fu et al., Topological Speed Limit, Physical review letters (2023). DOI: 10.1103/PhysRevLett.130.010402
Mandelstam et al., Energy-time uncertainty relation in non-relativistic quantum mechanics, Selected papers (2011). DOI: 10.1007/978-3-642-74626-0_8
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the quote: Researchers derived a uniform topological speed limit for the evolution of physical states (2023, January 24) Retrieved January 24, 2023 from https://phys.org/news/2023-01-derive-topological-limit-evolution-physical.html
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