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Updated: May 30, 2025

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Deriving the Landauer Principle From the Quantum Shannon Entropy
Henrik J Heelweg1, Amro Dodin2, Adam P Willard1
1Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
We derived a formula for quantum probability distributions in noisy environments. This reveals that resetting quantum bits (qubits) costs more free energy than in classical systems, depending on environment and state fidelity.
Area of Science:
- Quantum thermodynamics
- Statistical mechanics
- Quantum information theory
Background:
- Understanding quantum states in thermal environments is crucial for quantum technologies.
- Classical thermodynamics provides a framework for energy costs but doesn't fully capture quantum effects.
Purpose of the Study:
- To derive an expression for the equilibrium probability distribution of a quantum state interacting with a noisy thermal environment.
- To establish a statistical mechanical interpretation for calculating minimum free energy costs of quantum state changes.
- To investigate the factors influencing the free energy cost of erasing or resetting a qubit.
Main Methods:
- Derivation of probability distribution separating quantum and classical uncertainty.
- Application of statistical mechanics to determine free energy costs.
- Analysis of system-bath entanglement effects on energy costs.
Main Results:
- An expression for the equilibrium probability distribution of a quantum state in a noisy thermal environment was derived.
- Minimum free energy costs for quantum state changes were determined using a statistical mechanical interpretation.
- The free energy cost to reset a qubit was found to depend on target state fidelity and environmental properties, unlike classical systems.
Conclusions:
- Quantum and classical uncertainties can be formally separated in noisy environments.
- System-bath entanglement significantly impacts the free energy costs of quantum operations.
- Resetting qubits requires careful consideration of environmental factors and state fidelity, highlighting differences from classical systems.
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