Fano-qubits for quantum devices with enhanced isolation and bandwidth
Bibliographic record
Abstract
Quantum devices often suffer from reflections and noise during readout, a problem traditionally addressed by magneto-optical isolators and circulators. However, these solutions are hindered by limited bandwidth, low tunability, high losses, and incompatibility with planar technologies like circuit QED. To overcome these challenges, we introduce an approach to quantum non-reciprocity, leveraging the inherent nonlinearity of qubits and spatial symmetry disruption. Our method transforms a circuit with Lorentz-type qubits into one with Fano-type qubits, which exhibit an asymmetric spectral response. This transformation leads to a significant enhancement in isolation (up to 40 dB) and a doubling of spectral bandwidth (up to 200 MHz). We base our analysis on realistic circuit parameters and substantiate it with existing experimental results and comprehensive quantum simulations. Our research paves the way for creating compact, high-performance, planar-compatible non-reciprocal quantum devices. These devices could revolutionize quantum computing, communication, and sensing by offering improved noise protection and broader bandwidth.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".