Ultra-High Fidelity Disorder-Free 2D Floquet Time Crystal with Imaginary Spiral Twist: 5000-Period Simulation and 1M-Gate Validation on IBM Sherbrooke
Bibliographic record
Abstract
I demonstrate a universal, passively stabilized logical qubit encoded in the degenerate Néel-cat subspace of a clean 2D Floquet system. Mean-field product-state evolution of a $30\times30$ lattice under disorder-free global drive with imaginary spiral twist $iJ\sin(\theta_{ij})\sigma^z_i\sigma^z_j$ yields full wavefunction fidelity 0.995741 after 5000 periods ($\omega\approx20$ Hz) with stabilizer fluctuations $\sim$0.001. The identical global-RF Hamiltonian, compiled with TKET, is executed on a 9-qubit patch of IBM Sherbrooke (127-qubit Eagle processor), achieving $\sim$1.05 million physical gate depth. Direct measurement on four marked physical qubits gives classical state fidelity $0.305\pm0.018$. For codes supported on the even-parity (cat) subspace, the tight lower bound of Gilchrist et al. (Phys. Rev. A 71, 062310, 2005) and subsequent cat-qubit literature yields logical fidelity $F_L \geq 1 - \frac{(1-F_c)^2}{2}$, giving $F_L \geq 0.76$ (central value) and $F_L \geq 0.71$ at 99\% confidence — surpassing all previously demonstrated bosonic codes at comparable overhead. Clear period-doubling response confirms robust discrete time-crystal order deep in the NISQ regime, with immediate applications to low-frequency 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".