https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/Head https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/assertion https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/provenance https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/pubinfo https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/assertion arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://purl.org/dc/terms/conformsTo https://w3id.org/ldac/profile#Object arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/about "_:FOR/020603" arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/about "_:FOR/080110" arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/citation https://arxiv.org/abs/2108.06661 arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/contactPoint "_:contact/elija.t.perrier@student.uts.edu.au" arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/contentUrl ./ arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/creator https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/creator https://data.research.uts.edu.au/api/object/akram.youssry@eng.asu.edu.eg arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/creator https://data.research.uts.edu.au/api/object/dacheng.tao@sydney.edu.au arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/creator https://data.research.uts.edu.au/api/object/elija.t.perrier@student.uts.edu.au arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/dataset https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/ arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/dataset https://data.research.uts.edu.au/api/object/_cloudstor arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/dateCreated 2022-03-28T04:39:03.553Z arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/datePublished 2022-03-28T04:39:03.553Z arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/description The QDataSet comprises 52 datasets based on simulations of one- and two-qubit systems evolving in the presence and/or absence of noise subject to a variety of controls. It has been developed to provide a large-scale set of datasets for the training, benchmarking and competitive development of classical and quantum algorithms for common tasks in quantum sciences, including quantum control, quantum tomography and noise spectroscopy. It has been generated using customised code drawing upon base-level Python packages in order to facilitate interoperability and portability across common machine learning and quantum programming platforms. Each dataset consists of 10,000 samples which in turn comprise a range of data relevant to the training of machine learning algorithms for solving optimisation problems. The data includes a range of information (stored in list, matrix or tensor format) regarding quantum systems and their evolution, such as: quantum state vectors, drift and control Hamiltonians and unitaries, Pauli measurement distributions, time series data, pulse sequence data for square and Gaussian pulses and noise and distortion data. The total compressed size of the QDataSet (using Pickle and zip formats) is around 14TB (uncompressed, around 100TB). Researchers can use the QDataSet in a variety of ways to design algorithms for solving problems in quantum control, quantum tomography and quantum circuit synthesis, together with algorithms focused on classifying or simulating such data. We also provide working examples of how to use the QDataSet in practice and its use in benchmarking certain algorithms. The associated paper provides in-depth detail on the QDataSet for researchers who may be unfamiliar with quantum computing, together with specifications for domain experts within quantum engineering, quantum computation and quantum machine learning. The dataset details are set out in the link to raw files. arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/funder arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/hasPart https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/2108.06661.pdf arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/identifier [70967290a59911eca9a84993133e6628, {"@id":"_:local-id:public_ocfl:70967290a59911eca9a84993133e6628","@type":"PropertyValue","value":"70967290a59911eca9a84993133e6628","name":"public_ocfl"}] arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/identifier https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/_1 arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/keywords machine learning arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/keywords quantum arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/license "_:license/http://creativecommons.org/licenses/by/3.0/au" arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/memberOf arcp://name,uts_public_data_repo/uts_root_collection arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/name QDataSet: Quantum Datasets for Machine Learning arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/publisher https://www.uts.edu.au/ arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/temporalCoverage 2021-01-01/2021-01-01 arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/yearCreated 2022 arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://schema.org/yearPublished 2022 arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://pcdm.org/models#Object arcp://name,uts_public_data_repo/70967290a59911eca9a84993133e6628 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset arcp://name,uts_public_data_repo/uts_root_collection http://purl.org/dc/terms/conformsTo https://w3id.org/ldac/profile#Collection arcp://name,uts_public_data_repo/uts_root_collection http://schema.org/description This is the UTS Research Data Portal. For any questions, please get in touch with us at eResearch-it@uts.edu.au arcp://name,uts_public_data_repo/uts_root_collection http://schema.org/license https://w3id.org/np/RAIvSVScGx3gdwGiNP-SZA6hewBf0v5NQZ3kHgXRLUg-A/_2 arcp://name,uts_public_data_repo/uts_root_collection http://schema.org/name UTS Research Data Portal arcp://name,uts_public_data_repo/uts_root_collection http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://pcdm.org/models#Collection arcp://name,uts_public_data_repo/uts_root_collection http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset git+https://github.com/Arkisto-Platform/oni-ocfl.git http://schema.org/description Oni ocfl tools git+https://github.com/Arkisto-Platform/oni-ocfl.git http://schema.org/name git+https://github.com/Arkisto-Platform/oni-ocfl.git git+https://github.com/Arkisto-Platform/oni-ocfl.git http://schema.org/programmingLanguage https://en.wikipedia.org/wiki/Node.js git+https://github.com/Arkisto-Platform/oni-ocfl.git http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/SoftwareSourceCode https://arxiv.org/abs/2108.06661 http://schema.org/identifier https://arxiv.org/abs/2108.06661 https://arxiv.org/abs/2108.06661 http://schema.org/name QDataset: Quantum Datasets for Machine Learning https://arxiv.org/abs/2108.06661 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/ScholarlyArticle https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/ http://schema.org/description https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/ http://schema.org/name 0a5ced406a603943296693967f241226 https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/2108.06661.pdf http://schema.org/encodingFormat application/pdf https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/2108.06661.pdf http://schema.org/name 2108.06661.pdf https://data.research.uts.edu.au/api/object/0a5ced406a603943296693967f241226/2108.06661.pdf http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/affiliation https://www.uts.edu.au/ https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/email Christopher.Ferrie@uts.edu.au https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/familyName Ferrie https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/givenName Christopher https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/identifier Christopher.Ferrie@uts.edu.au https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://schema.org/name Christopher Ferrie https://data.research.uts.edu.au/api/object/Christopher.Ferrie@uts.edu.au http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Person https://data.research.uts.edu.au/api/object/_cloudstor http://schema.org/description The data is publicly available via the URL: https://cloudstor.aarnet.edu.au/plus/s/rxYKXBS7Tq0kB8o, If this is no longer accessible, please contact elija.t.perrier@student.uts.edu.au. https://data.research.uts.edu.au/api/object/_cloudstor http://schema.org/encodingFormat The data is described below: G 1q X : (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: none; (iv) No distortion. G 1q X D : (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: none; (iv) Distortion. G 1q XY: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: none; (iv) No distortion. G 1q XY D : (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: none; (iv) Distortion. G 1q XY XZ N1N5: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N5 on z-axis; (iv) No distortion. G 1q XY XZ N1N5 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N5 on z-axis; (iv) No distortion. G 1q XY XZ N1N6: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) Distortion. G 1q XY XZ N1N6 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) No distortion. G 1q XY XZ N3N6: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) Distortion. G 1q XY XZ N3N6 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) No distortion. G 1q X Z N1 : (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N1 on z-axis; (iv) No distortion. G 1q X Z N1 D: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N1 on z-axis; (iv) Distortion. G 1q X Z N2: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N2 on z-axis; (iv) No distortion. G 1q X Z N2 D: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N2 on z-axis; (iv) Distortion. G 1q X Z N3: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N3 on z-axis; (iv) No distortion. G 1q X Z N3 D: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N3 on z-axis; (iv) Distortion. G 1q X Z N4: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N4 on z-axis; (iv) No distortion. G 1q X Z N4 D: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N4 on z-axis; (iv) Distortion. G 2q IX-XI IZ-ZI N1-N6: (i) Qubits: two; (ii) Control: x-axis on both qubits, Gaussian; (iii) Noise: N1 and N6 z-axis on each qubit; (iv) No distortion. G 2q IX-XI IZ-ZI N1-N6 D: (i) Qubits: two; (ii) Control: x-axis on both qubits, Gaussian; (iii) Noise: N1 and N6 z-axis on each qubit; (iv) Distortion. G 2q IX-XI-XX: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, Gaussian; (iii) Noise: none; (iv) No distortion. G 2q IX-XI-XX D: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, Gaussian; (iii) Noise: none; (iv) Distortion. G 2q IX-XI-XX IZZI N1-N5: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, Gaussian; (iii) Noise: N1 and N5 on z-axis noise on each qubit; (iv) No distortion. G 2q IX-XI-XX IZZI N1-N5: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, Gaussian; (iii) Noise: N1 and N5 on z-axis noise on each qubit; (iv) Distortion. S 1q X: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: none; (iv) No distortion. S 1q X D: (i) Qubits: one; (ii) Control: x-axis, Gaussquaresian; (iii) Noise: none; (iv) Distortion. S 1q XY: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: none; (iv) No distortion. S 1q XY D: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussquaresian; (iii) Noise: none; (iv) Distortion. S 1q XY XZ N1N5: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: N1 on x-axis, N5 on z-axis; (iv) No distortion. S 1q XY XZ N1N5 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, Gaussian; (iii) Noise: N1 on x-axis, N5 on z-axis; (iv) No distortion. S 1q XY XZ N1N6: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) Distortion. S 1q XY XZ N1N6 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) No distortion. S 1q XY XZ N3N6: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) Distortion. S 1q XY XZ N3N6 D: (i) Qubits: one; (ii) Control: x-axis and y-axis, square; (iii) Noise: N1 on x-axis, N6 on z-axis; (iv) No distortion. S 1q X Z N1: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N1 on z-axis; (iv) No distortion. S 1q X Z N1 D: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N1 on z-axis; (iv) Distortion. S 1q X Z N2 : (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N2 on z-axis; (iv) No distortion. S 1q X Z N2 D: (i) Qubits: one; (ii) Control: x-axis, Gaussian; (iii) Noise: N2 on z-axis; (iv) Distortion. S 1q X Z N3: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N3 on z-axis; (iv) No distortion. S 1q X Z N3 D: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N3 on z-axis; (iv) Distortion. S 1q X Z N4: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N4 on z-axis; (iv) No distortion. S 1q X Z N4 D: (i) Qubits: one; (ii) Control: x-axis, square; (iii) Noise: N4 on z-axis; (iv) Distortion. S 2q IX-XI IZ-ZI N1-N6: (i) Qubits: two; (ii) Control: x-axis on both qubits, square; (iii) Noise: N1 and N6 z-axis on each qubit; (iv) No distortion. S 2q IX-XI IZ-ZI N1-N6 D: (i) Qubits: two; (ii) Control: x-axis on both qubits, square; (iii) Noise: N1 and N6 z-axis on each qubit; (iv) Distortion. S 2q IX-XI-XX: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, square; (iii) Noise: none; (iv) No distortion. S 2q IX-XI-XX D: (i) Qubits: two; (ii) Control: single x-axis control on both qubits and x-axis interacting control, square; (iii) Noise: none; (iv) Distortion. S 2q IX-XI-XX IZZI N1-N5: (i) Qubits: two; (ii) Control: x-axis on both qubits and xaxis interacting control, square; (iii) Noise: N1 and N5 z-axis on each qubit; (iv) No distortion. S 2q IX-XI-XX IZZI N1-N5 D: (i) Qubits: two; (ii) Control: x-axis on both qubits and xaxis interacting control, square; (iii) Noise: N1 and N5 z-axis on each qubit; (iv) Distortion. S 2q IX-XI-XX IZZI N1-N6: (i) Qubits: two; (ii) Control: x-axis on both qubits and xaxis interacting control, square; (iii) Noise: N1 and N6 z-axis on each qubit; (iv) No distortion. 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