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The Limit of Spin Lifetime in Solid-State Electronic Spins
Alessandro Lunghi1, Stefano Sanvito1
1School of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland.
Protecting spin qubits from atomic vibrations is key for quantum technology. This study uses machine learning to model spin relaxation, revealing high-temperature limits due to specific molecular vibrations and enabling better qubit design.
Area of Science:
- Quantum computing
- Materials science
- Computational physics
Background:
- Spin qubits are crucial for quantum technologies.
- Atomic vibrations cause decoherence, limiting qubit performance at finite temperatures.
- Understanding spin relaxation mechanisms is essential for developing robust qubits.
Purpose of the Study:
- To provide a comprehensive first-principles model of spin relaxation, including two-phonon processes.
- To enable accurate prediction of spin lifetimes in realistic molecular qubit systems.
- To investigate the impact of intramolecular vibrations on spin relaxation in vanadium-based molecular qubits.
Main Methods:
- Utilized a combination of machine learning and electronic structure theory.
- Developed a method to simulate spin relaxation including up to two-phonon processes.
- Applied the method to a prototypical vanadium-based molecular qubit.
Main Results:
- Successfully modeled spin relaxation, including two-phonon processes, from first principles.
- Identified Raman processes, driven by low-frequency THz intramolecular vibrations, as the limiting factor for spin lifetime at high temperatures.
- Demonstrated the feasibility of predicting spin lifetimes in realistic systems.
Conclusions:
- The study offers a new understanding of spin relaxation in molecular qubits, challenging conventional models.
- The developed method facilitates the rational design of molecular spin systems with extended lifetimes.
- This work paves the way for more stable and reliable quantum technologies.
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