MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Quantum Computing Algorithms and Architecture
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,386 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,386 works in the cohort · of 4,299,418page 1 of 48

Labels cover 3 of 2,386 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,386 of 2,386 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Quantum annealing with manufactured spins
Mark W. Johnson, M. H. S. Amin, S. Gildert, T. Lanting, Firas Hamze, Neil G. Dickson +20 more
2011· article· en· Nature· Computer Science
machine prediction:candidate · noneconsensus · none
1,922
citations
afffundunlabeled
Noisy intermediate-scale quantum algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand +8 more
2022· article· en· Reviews of Modern Physics· Computer Science
machine prediction:candidate · noneconsensus · none
1,653
citations
affunlabeled
Improved simulation of stabilizer circuits
Scott Aaronson, Daniel Gottesman
2004· article· en· Physical Review A· Computer Science
machine prediction:candidate · noneconsensus · none
1,561
citations
affunlabeled
Quantum amplitude amplification and estimation
Gilles Brassard, Peter Høyer, Michele Mosca, Alain Tapp
2002· other· en· Contemporary mathematics - American Mathematical Society· Computer Science
machine prediction:candidate · noneconsensus · none
1,436
citations
affunlabeled
Quantum Fingerprinting
Harry Buhrman, Richard Cleve, John Watrous, Ronald de Wolf
2001· article· en· Physical Review Letters· Computer Science
machine prediction:candidate · noneconsensus · none
1,207
citations
affunlabeled
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, Nathan Killoran
2019· article· en· Physical review. A/Physical review, A· Computer Science
machine prediction:candidate · noneconsensus · none
1,053
citations
affunlabeled
Universal Computation by Quantum Walk
Andrew M. Childs
2009· article· en· Physical Review Letters· Computer Science
machine prediction:candidate · noneconsensus · none
1,035
citations
affunlabeled
Quantum lower bounds by polynomials
Robert Beals, Harry Buhrman, Richard Cleve, Michele Mosca, Ronald de Wolf
2001· article· en· Journal of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
659
citations
affno abstractunlabeled
Challenges and opportunities in quantum machine learning
M. Cerezo, Guillaume Verdon, Hsin-Yuan Huang, Łukasz Cincio, Patrick J. Coles
2022· review· en· Nature Computational Science· Computer Science
machine prediction:candidate · noneconsensus · none
652
citations
afffundunlabeled
Toward the first quantum simulation with quantum speedup
Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su
2018· article· en· Proceedings of the National Academy of Sciences· Computer Science
machine prediction:candidate · noneconsensus · none
574
citations
affunlabeled
Quantum Generative Adversarial Learning
Seth Lloyd, Christian Weedbrook
2018· article· en· Physical Review Letters· Computer Science
machine prediction:candidate · noneconsensus · none
573
citations
affunlabeled
Quantum Algorithm for Data Fitting
Nathan Wiebe, Daniel Braun, Seth Lloyd
2012· article· en· Physical Review Letters· Computer Science
machine prediction:candidate · noneconsensus · none
535
citations
affunlabeled
Quantum generative adversarial networks
Pierre-Luc Dallaire-Demers, Nathan Killoran
2018· article· en· Physical review. A/Physical review, A· Computer Science
machine prediction:candidate · noneconsensus · none
503
citations
affunlabeled
Towards a quantum programming language
Peter Selinger
2004· article· en· Mathematical Structures in Computer Science· Computer Science
machine prediction:candidate · noneconsensus · none
496
citations
afffundunlabeled
Qudits and High-Dimensional Quantum Computing
Yuchen Wang, Zixuan Hu, Barry C. Sanders, Sabre Kais
2020· article· en· Frontiers in Physics· Computer Science
machine prediction:candidate · noneconsensus · none
481
citations
affunlabeled
Quantum Natural Gradient
James Stokes, Josh Izaac, Nathan Killoran, Giuseppe Carleo
2020· article· en· Quantum· Computer Science
machine prediction:candidate · noneconsensus · none
439
citations
affno abstractunlabeled
Real-time quantum error correction beyond break-even
Volodymyr Sivak, Alec Eickbusch, Baptiste Royer, Shraddha Singh, Ioannis Tsioutsios, Suhas Ganjam +7 more
2023· article· en· Nature· Computer Science
machine prediction:candidate · noneconsensus · none
396
citations
affno abstractunlabeled
Machine Learning with Quantum Computers
Maria Schuld, Francesco Petruccione
2021· book· en· Quantum science and technology· Computer Science
machine prediction:candidate · noneconsensus · none
382
citations
affno abstractunlabeled
Verified quantum information scrambling
K. A. Landsman, Caroline Figgatt, Thomas Schuster, Norbert M. Linke, Beni Yoshida, Norman Y. Yao +1 more
2019· article· en· Nature· Computer Science
machine prediction:candidate · noneconsensus · none
375
citations
afffundunlabeled
Quantum Boltzmann Machine
2018· article· en· Physical Review X· Computer Science
machine prediction:candidate · noneconsensus · none
344
citations

How this was built: Screen · Findings · About