Elyasi, S.N., Rossi, M.A.C., & Genoni, M.G. (2024). Experimental simulation of daemonic work extraction in open quantum batteries on a digital quantum computer. arXiv preprint arXiv:2410.16567.
This research paper investigates the potential of enhancing work extraction from open quantum batteries by continuously monitoring their environment and employing a feedback control mechanism based on the acquired measurement data. The study aims to experimentally validate the theoretical concept of "daemonic ergotropy," which postulates that information gained from measurements can be leveraged to extract more work from a quantum system.
The researchers employed a collisional model to simulate the interaction of an open quantum battery with its environment on an IBM quantum computer. They implemented a continuously monitored collisional model (CMCM) where the environment, represented by auxiliary qubits, interacts sequentially with the battery qubit. By measuring the state of the auxiliary qubits after each interaction, the researchers simulated continuous monitoring of the environment. The acquired measurement data was then used to determine the optimal work extraction unitary operation for each quantum trajectory, allowing for a feedback mechanism to maximize work extraction.
The experimental results demonstrated a clear "daemonic enhancement" in work extraction. The amount of work extracted using the measurement-based feedback control surpassed the theoretical limit achievable without environmental monitoring (unconditional ergotropy). Furthermore, the study highlighted the importance of incorporating noise models in the simulation to accurately predict the performance of the work extraction protocol. By considering the noise inherent to the quantum computer, the researchers were able to optimize the work extraction unitary operations, leading to a closer agreement between the experimental results and the theoretical limit of daemonic ergotropy.
This research provides experimental evidence for the enhancement of work extraction from open quantum batteries through continuous environmental monitoring and feedback control. The study underscores the significance of noise characterization in optimizing quantum protocols and highlights the potential of digital quantum computers as platforms for simulating open quantum systems and exploring quantum thermodynamics concepts.
This research contributes significantly to the field of quantum thermodynamics by providing experimental validation for the concept of daemonic ergotropy. The findings have implications for the development of more efficient quantum batteries and other quantum technologies that rely on energy extraction.
The study was limited by the simplified noise model used and the computational constraints of current quantum computers. Future research could explore more complex noise models and investigate the scalability of the approach to larger quantum systems. Additionally, exploring different types of continuous measurements and feedback control strategies could further enhance the work extraction efficiency.
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