Clean Two-Dimensional Floquet Time Crystal Stabilized for 5000+ Periods by a Purely Imaginary Spiral-Twist Phase
Bibliographic record
Abstract
We demonstrate a clean, disorder-free two-dimensional Floquet time crystal on a $30\times30$ square lattice with periodic boundaries that achieves full wavefunction fidelity $>0.9996$ after 50 periods and $>0.9957$ after 5000 periods ($\sim$4 minutes of evolution at 20~Hz drive frequency). The system is driven by a globally uniform transverse field $h(t)\sum_i\sigma^x_i$ and a purely imaginary spiral-twist interaction $iJ\sum_{\langle ij\rangle}\sin(\theta_{ij})\sigma^z_i\sigma^z_j$, with $\theta_{ij}(t)$ a slow, center-origin spiral phase profile of maximum amplitude $\pi/512$. Mean-field product-state evolution in the 1800-dimensional amplitude space, integrated with fourth-order Runge--Kutta (200 steps/period), accurately captures the dynamics and reveals that the imaginary twist passively suppresses Floquet heating for thousands of cycles without disorder, measurement feedback, or long-range interactions. An attempted hardware validation on a 9-qubit patch of IBM Sherbrooke (1.05~million physical gates, 50 periods) yielded only classical readout noise (Bhattacharyya fidelity $0.305\pm0.018$ on four marked qubits, no detectable subharmonic response), confirming that individual addressing and mid-circuit measurement destroy the required coherence. The Hamiltonian maps directly to a single global RF beam plus one static linear magnetic gradient on existing 2D trapped-ion arrays, providing a scalable route to ultra-stable logical qubits and low-frequency (~10--200~Hz) isotope and chiral separation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.046 | 0.010 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".