MétaCan
Menu
← Back to cohort
Record W4226431470 · doi:10.5281/zenodo.5772190

Coherent control of a multi-qubit dark state in waveguide quantum electrodynamics

2021· article· en· W4226431470 on OpenAlexaff
Maximilian Zanner, Tuure Orell, C. M. F. Schneider, Romain Albert, Stefan Oleschko, Mathieu L. Juan, Matti Silveri, Gerhard Kirchmair

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldComputer Science
TopicQuantum Information and Cryptography
Canadian institutionsInstitut quantiqueUniversité de Sherbrooke
FundersAcademy of FinlandAustrian Science FundEuropean Commission
KeywordsQubitPhysicsQuantum electrodynamicsPhase qubitCircuit quantum electrodynamicsQuantum mechanicsQuantumCavity quantum electrodynamicsOpen quantum system

Abstract

fetched live from OpenAlex

Superconducting qubits in a waveguide have long-range interactions mediated by photons that promote the emergence of collective states. Destructive interference between the qubits can collectively decouple them from the waveguide environment, creating dark states. Their inability to emit photons into the waveguide makes dark states a valuable resource for preparing long-lived many-body states and realizing quantum information protocols in open quantum systems. However, they also decouple from fields that drive the waveguide, making manipulation a challenge. Here we show coherent control of a collective dark state that is realized by controlling the interactions between four superconducting transmon qubits and local drives. The dark state's protection against decoherence results in decay times that exceed those of the waveguide-limited single qubits by more than two orders of magnitude. We perform phase-sensitive spectroscopy of the two-excitation manifold and reveal bosonic many-body statistics in the transmon array. Our dark state qubit provides a starting point for implementing quantum information protocols with collective states.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 designSimulation or modeling
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicQuantum Information and Cryptography→French-language works237,207→