SciPost Submission Page
Boundary Time Crystals as AC sensors: enhancements and constraints
by Dominic Gribben, Anna Sanpera, Rosario Fazio, Jamir Marino, Fernando Iemini
This is not the latest submitted version.
Submission summary
| Authors (as registered SciPost users): | Dominic Gribben |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2406.06273v2 (pdf) |
| Date submitted: | Sept. 9, 2024, 9:36 a.m. |
| Submitted by: | Dominic Gribben |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approaches: | Theoretical, Computational |
Abstract
We investigate the use of a boundary time crystals (BTCs) as sensors of AC fields. Boundary time crystals are non-equilibrium phases of matter in contact to an environment, for which a macroscopic fraction of the many-body system breaks the time translation symmetry. We find an enhanced sensitivity of the BTC when its spins are resonant with the applied AC field, as quantified by the quantum Fisher information (QFI). The QFI dynamics in this regime is shown to be captured by a relatively simple ansatz consisting of an initial power-law growth and late-time exponential decay. We study the scaling of the ansatz parameters with resources (encoding time and number of spins) and identify a moderate quantum enhancement in the sensor performance through comparison with classical QFI bounds. Investigating the precise source of this performance, we find that despite of its long coherence time and multipartite correlations (advantageous properties for quantum metrology), the entropic cost of the BTC (which grows indefinitely in the thermodynamic limit) hinders an optimal decoding of the AC field information. This result has implications for future candidates of quantum sensors in open system and we hope it will encourage future study into the role of entropy in quantum metrology.
Author indications on fulfilling journal expectations
- Provide a novel and synergetic link between different research areas.
- Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
- Detail a groundbreaking theoretical/experimental/computational discovery
- Present a breakthrough on a previously-identified and long-standing research stumbling block
Current status:
Reports on this Submission
Report #1 by Anonymous (Referee 2) on 2024-11-28 (Invited Report)
- Cite as: Anonymous, Report on arXiv:2406.06273v2, delivered 2024-11-28, doi: 10.21468/SciPost.Report.10141
Strengths
Weaknesses
Report
I recommend a minor revision to address these concerns. After these revisions are done I believe the present work will meet the journal's acceptance criteria.
Requested changes
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Model Explanation: For readers unfamiliar with time crystals, it is unclear why this model constitutes a time crystal. The statement "Specifically this is known..." following Equation (1) is vague. I suggest expanding this section with additional references or providing a brief derivation in an appendix to substantiate the claim.
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Discussion of Quantum Fisher Information (QFI): Extending the discussion of QFI in Equation (4) to include the expected scales and their implications for the sensor’s performance would be welcome. For instance, explaining the significance of F/N > 1 as a quantum enhancement and why F/N \approx N indicates the Heisenberg limit. Although some of this discussion is already present in the introduction, I believe that moving and expanding it would benefit the coherence of the manuscript. I also think that the introduction of the operator $\hat{L}_g$ seemed unnecessary since it was not used in practice to obtain the results.
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Normalization in Figures: I would recommend using consistent normalization of the figures. For example, in Figure 1 F was normalized to N^2, while Figures 2 and 5 normalize F to N. Alternatively the authors could justify, in each figure, their choice for the given normalization.
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Choice of External Field Orientation: The external field is assumed to be oriented in the z-direction, as defined in Equation (3). Clarify whether this choice is standard or made for convenience. If it is standard, cite appropriate literature. If not, discuss the implications of considering arbitrary driving directions.
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Entropy Suppression: Does the parameter \omega_0 (coherent driving strength) influence entropy production? Could modifying the driving Hamiltonian, e.g., introducing Heisenberg interactions, suppress entropy production and improve performance?
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Code Availability: To ensure reproducibility of the results I would suggest, not require, the authors to publish also simulation codes on a public repository such as GitHub. This aligns with the transparency encouraged by the SciPost community and will benefit future researchers working on related topics.
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Symbol Usage: The same symbol
Sis used for total spin length and entropy. This could confuse readers. Consider using a distinct symbol for the spin operator. -
Typo: On page 6. "... they were were generated ... " has too many "were" -s.
Recommendation
Ask for minor revision
Report #2 by Anonymous (Referee 1) on 2024-11-27 (Invited Report)
- Cite as: Anonymous, Report on arXiv:2406.06273v2, delivered 2024-11-27, doi: 10.21468/SciPost.Report.10200
Report
A numerical analysis of the QFI behavior (considering the resonant case and optimal phase corresponding to the thermodynamic limit) reveals that it is possible to fit a power-exponential curve as a function of time, for various system sizes N and frequencies. The authors the examine various BTC properties and identify the role of entropy in this context. Namely, the entropy grows and reaches some finite value in the thermodynamic limit, thus the system is not in a pure quantum state (entropic cost). The entropic cost may be decreased by decreasing dissipation. The authors also compare the results of a mean field calculation, providing some insight how on larger time-scales the exact results deviates from the MF calculations, although on small time-scales they both coincide.
The presented calculations lead to the conclusion that BTC sensors possibly provide a moderate quantum enhancement, however it cannot be exculded that around the critical point of the system, higher performance can be achieved. I wonder, why and how much the sensitivity could be enhanced around the critical point, since a brief explanation would add a lot to the analysis of the paper. This is just an optional question. It is possible that the answer is complicated and could be addressed in another publication.
In conclusion, I find the manuscript very well written, interesting, about a timely and important topic, thus I suggests its publication in SciPost Physics.
Recommendation
Publish (easily meets expectations and criteria for this Journal; among top 50%)
Dear Referee,
We thank you for taking the time to read our manuscript and for your kind feedback. Regarding the behaviour of the sensor near critical point, it is quite a technically challenging question to address. As the model is brought closer to the critical point a larger system size is needed such that the dynamics persist long enough to see oscillations. The period of these oscillations also increases meaning a longer simulation time would be needed to encode the external field strength. Both of these facts lead to greater computational demands. Thank you for raising this, as we mention in our conclusion we agree that it is an interesting question but believe it to be beyond the scope of this paper.
Yours Sincerely,
Dominic Gribben - on behalf of the authors

Author: Dominic Gribben on 2025-02-18 [id 5232]
(in reply to Report 1 on 2024-11-28)Dear reviewer, thank you for taking the time to read and provide feedback on our manuscript. Please find our more detailed response in attachment.
Attachment:
sensing_BTC_refresponse.pdf