Synthesis and Arithmetic of Single Qutrit Circuits
Bibliographic record
Abstract
In this paper we study single qutrit circuits consisting of words over the Clifford +D cyclotomic gate set, where D=diag(±ξa,±ξb,±ξc) , ξ is a primitive 9 -th root of unity and a,b,c are integers. We characterize classes of qutrit unit vectors z with entries in Z[ξ,1χ] based on the possibility of reducing their smallest denominator exponent (sde) with respect to χ:=1–ξ, by acting an appropriate gate in Clifford +D . We do this by studying the notion of `derivatives mod 3 ' of an arbitrary element of Z[ξ] and using it to study the smallest denominator exponent of HDz where H is the qutrit Hadamard gate and D . In addition, we reduce the problem of finding all unit vectors of a given sde to that of finding integral solutions of a positive definite quadratic form along with some additional constraints. As a consequence we prove that the Clifford +D gates naturally arise as gates with sde 0 and 3 in the group U(3,Z[ξ,1χ]) of 3×3 unitaries with entries in Z[ξ,1χ] . We illustrate the general applicability of these methods to obtain an exact synthesis algorithm for Clifford +R and recover the previously known exact synthesis algorithm of Kliuchnikov, Maslov, Mosca (2012). The framework developed to formulate qutrit gate synthesis for Clifford +D extends to qudits of arbitrary prime power.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".