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Record W4213385230 · doi:10.21203/rs.3.rs-1327792/v1

Experimental super-Heisenberg quantum metrology withindefinite gate order

2022· preprint· en· W4213385230 on OpenAlexafffund
Peng Yin, Xiaobin Zhao, Yuxiang Yang, Yu Guo, Wen-Hao Zhang, Gongchu Li, Yong‐Jian Han, Bi‐Heng Liu, Jin‐Shi Xu, Giulio Chiribella, Geng Chen, Chuan‐Feng Li, Guang‐Can Guo

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsPerimeter Institute
FundersFundamental Research Funds for the Central UniversitiesNational Key Research and Development Program of ChinaGovernment of CanadaCroucher FoundationNational Natural Science Foundation of ChinaInstitut Périmètre de physique théoriqueInnovation, Science and Economic Development CanadaJohn Templeton Foundation
KeywordsMetrologyQuantum metrologyHeisenberg limitOrder (exchange)QuantumTheoretical physicsPhysicsQuantum mechanicsMathematicsQuantum computerQuantum networkEconomics

Abstract

fetched live from OpenAlex

Abstract The Heisenberg limit, corresponding to a root mean square error vanishing as 1/N with the number N of independent processes probed in an experiment, is widely believed to be an ultimate limit to the precision of quantum metrology.In this work, we experimentally demonstrate a quantum metrology protocol surpassing Heisenberg limit by implementing indefinite (a superposition of) orders of two groups of independent processes. Each process creates a phase space displacement, and the precision to estimate the geometric phase introduced by a total number of 2N processes approaches the super-Heisenberg limit of 1/N 2 . In our setup, the polarization of a single photon coherently controls the order of displacements on the transverse modes of the radiation field, resulting into indefinite order and allowing us to outperform every setup where the displacements are probed in a definite order. Our experiment features a realization of coherent control over the order in a continuous-variable system, and can be applied to the measurement of various important parameters.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.008
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.070
GPT teacher head0.384
Teacher spread0.313 · 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 teacher head, not a consensus.

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

Citations6
Published2022
Admission routes2
Has abstractyes

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