Mathematical framework slashes magnetic
A new optimal control theory framework from the University of Edinburgh designs magnetic pulses to switch digital bits, potentially cutting energy use by
Researchers have developed a mathematical framework that could drastically reduce the energy needed to operate future magnetic computer memory. The method, from the University of Edinburgh, uses optimal control theory to design ultrafast magnetic-field pulses for switching digital bits.
Artificial intelligence and data-intensive technologies are expanding global computing demand, raising concerns about electricity use and carbon emissions from data centers. Finding ways to improve computing energy efficiency is therefore increasingly urgent. The new theoretical approach aims to make the storage and manipulation of digital information far less power-hungry.
Optimizing magnetic switching
Magnetic memory stores data by switching between magnetic states, representing digital 0s and 1s. Instead of conventional design methods, the team applied optimal control theory. This mathematical approach finds the most efficient path to a specific goal. The framework designs magnetic-field pulses that switch states using minimal energy, while accounting for realistic experimental constraints.
Dr. Elton Santos from the University of Edinburgh's Institute for Condensed Matter Physics and Complex Systems led the research. "Our work shows that, by carefully designing how a magnetic field changes in time, magnetization can be switched far more efficiently than with conventional approaches," he said.
Approaching a fundamental limit
Computer simulations indicate the method could lower switching energy by several orders of magnitude compared to current and emerging technologies. The predicted energy requirements bring future magnetic memory surprisingly close to the Landauer limit. This is the fundamental thermodynamic limit defining the minimum energy needed to process a single bit of information, a boundary imposed by physics.
The framework, detailed in the journal Advanced Materials, includes practical guidance for implementation. It offers optimized device designs and methods for delivering magnetic fields, providing a path for experimental testing.
A versatile theoretical tool
The mathematics underpinning the framework is highly adaptable. Although initially developed for magnetic field pulses, the same optimal control approach can be modified for use with electrical currents or ultrafast laser pulses. These are among the most advanced technologies being explored for future data storage.
Dr. Santos highlighted this broader potential. "The same framework can be adapted to electrical currents and even ultrafast laser pulses," he stated. "That means the ideas developed here could have applications far beyond the systems we studied." The research suggests a versatile new tool for pushing data storage technologies toward ultimate physical efficiency limits.
