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Record W4416874692 · doi:10.1109/qce65121.2025.20537

Hadamard Eigenvectors with Misty States

2025· article· W4416874692 on OpenAlexaff
Lia Yeh, Mary Ganey, Prabhav Gudapati, Ginger Jia, Yisakor Melke, Christina Naylor, Ethan Parr, Amy Pezzoni, Carla Gehlhausen, John W. Phillips, Kevin Moist, Rebekah Randall, Vickie Houlihan, Colleen Rock, Scout Winchester, Adrian German

Bibliographic record

Venuenot available
Typearticle
Language
FieldComputer Science
TopicQuantum Computing Algorithms and Architecture
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsFormalism (music)Hadamard transformRewritingQuantumAlgebra over a fieldQuantum gate

Abstract

fetched live from OpenAlex

The misty states formalism is a set of rewriting rules (with strict syntax and acting on a small set of carefully selected quantum gates) with operations no more complicated than the rules of basic arithmetic. Introduced in 2017 by Terry Rudolph, this formalism (i.e., syntactic rules plus gates) is universal, the reason being a remarkable mathematical result due to Yaoyun Shi, leveraging another powerful result from Alexei Kitaev. Here we show that the formalism is powerful (robust) enough to handle correctly quantum gates and states for which (although well-formed) it has not been specifically designed.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.002

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.

Opus teacher head0.005
GPT teacher head0.217
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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