The 2024 magnonics roadmap

Area of Science:

• Physics
• Materials Science
• Electrical Engineering
• Nanotechnology

Background:

• Magnonics explores collective spin excitations in magnetic materials for advanced information technologies.
• Spin waves (magnons) transmit information without charge, enabling ultrahigh-frequency on-chip processing and reducing Joule heating.
• Current computing faces limitations due to energy consumption and clock speed bottlenecks in conventional processors.

Purpose of the Study:

• To provide an update on recent developments and achievements in nano-magnonics.
• To define future avenues and challenges in the field of magnonics.
• To address research on hybrid structures and magnonics-enabled quantum engineering.

Main Methods:

• Review of recent advancements in materials science, electrical engineering, and nanotechnology for magnonic circuits.
• Exploration of novel on-chip excitation and detection schemes for magnons.
• Investigation of hybrid structures and quantum engineering applications in magnonics.

Main Results:

• Functional magnonic building blocks for in-memory computation, neural networks, and Ising machines are becoming feasible.
• Miniaturization of magnonic circuits is advancing, enabling magnon wavelengths down to 50 nm at microwave frequencies.
• Hybrid structures and magnonics-enabled quantum engineering represent rapidly growing research areas.

Conclusions:

• Magnonics offers a promising non-charge-based technology crucial for energy-efficient AI and machine learning applications.
• Continued research in nano-magnonics, hybrid structures, and quantum engineering will drive innovation in information technologies.
• The field is poised to enable unprecedented functionalities for advanced computational schemes and efficient data processing.