Unified framework for quantum classification

Nghiem, Nhat A.; Chen, Samuel Yen-Chi; Wei, Tzu-Chieh

doi:10.1103/PhysRevResearch.3.033056

Title: Unified framework for quantum classification

Journal Article · 16 July 2021 · Physical Review Research

DOI: https://doi.org/10.1103/PhysRevResearch.3.033056 · OSTI ID:1808346

Nghiem, Nhat A.;

;

Not Available

View Journal Article

Cite

Export

Save

Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC05-00OR22725; SC0012704

OSTI ID:: 1808346

Report Number(s):: BNL--222049-2021-JAAM; 033056

Journal Information:: Physical Review Research, Journal Name: Physical Review Research Journal Issue: 3 Vol. 3; ISSN PPRHAI; ISSN 2643-1564

Publisher:: American Physical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

References (39)

Supervised Learning with Quantum Computers Schuld, Maria; Petruccione, Francesco Quantum Science and Technology https://doi.org/10.1007/978-3-319-96424-9	book	January 2018
Quantum speed-up for unsupervised learning Aïmeur, Esma; Brassard, Gilles; Gambs, Sébastien Machine Learning, Vol. 90, Issue 2 https://doi.org/10.1007/s10994-012-5316-5	journal	August 2012
The quest for a Quantum Neural Network Schuld, Maria; Sinayskiy, Ilya; Petruccione, Francesco Quantum Information Processing, Vol. 13, Issue 11 https://doi.org/10.1007/s11128-014-0809-8	journal	August 2014
Machine learning in quantum spaces Schuld, Maria Nature, Vol. 567, Issue 7747 https://doi.org/10.1038/d41586-019-00771-0	journal	March 2019
Deep learning LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey Nature, Vol. 521, Issue 7553 https://doi.org/10.1038/nature14539	journal	May 2015
Quantum computational supremacy Harrow, Aram W.; Montanaro, Ashley Nature, Vol. 549, Issue 7671 https://doi.org/10.1038/nature23458	journal	September 2017
Quantum machine learning Biamonte, Jacob; Wittek, Peter; Pancotti, Nicola Nature, Vol. 549, Issue 7671 https://doi.org/10.1038/nature23474	journal	September 2017
Measurement-based quantum computation Briegel, H. J.; Browne, D. E.; Dür, W. Nature Physics, Vol. 5, Issue 1 https://doi.org/10.1038/nphys1157	journal	January 2009
Training deep quantum neural networks Beer, Kerstin; Bondarenko, Dmytro; Farrelly, Terry Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-14454-2	journal	February 2020
Hierarchical quantum classifiers Grant, Edward; Benedetti, Marcello; Cao, Shuxiang npj Quantum Information, Vol. 4, Issue 1 https://doi.org/10.1038/s41534-018-0116-9	journal	December 2018
Quantum classifier with tailored quantum kernel Blank, Carsten; Park, Daniel K.; Rhee, June-Koo Kevin npj Quantum Information, Vol. 6, Issue 1 https://doi.org/10.1038/s41534-020-0272-6	journal	May 2020
Quantum convolutional neural networks Cong, Iris; Choi, Soonwon; Lukin, Mikhail D. Nature Physics, Vol. 15, Issue 12 https://doi.org/10.1038/s41567-019-0648-8	journal	August 2019
Applications of machine learning in drug discovery and development Vamathevan, Jessica; Clark, Dominic; Czodrowski, Paul Nature Reviews Drug Discovery, Vol. 18, Issue 6 https://doi.org/10.1038/s41573-019-0024-5	journal	April 2019
Supervised learning with quantum-enhanced feature spaces Havlíček, Vojtěch; Córcoles, Antonio D.; Temme, Kristan Nature, Vol. 567, Issue 7747 https://doi.org/10.1038/s41586-019-0980-2	journal	March 2019
Quantum supremacy using a programmable superconducting processor Arute, Frank; Arya, Kunal; Babbush, Ryan Nature, Vol. 574, Issue 7779 https://doi.org/10.1038/s41586-019-1666-5	journal	October 2019
Machine learning & artificial intelligence in the quantum domain: a review of recent progress Dunjko, Vedran; Briegel, Hans J. Reports on Progress in Physics, Vol. 81, Issue 7 https://doi.org/10.1088/1361-6633/aab406	journal	June 2018
Learning the quantum algorithm for state overlap Cincio, Lukasz; Subaşı, Yiğit; Sornborger, Andrew T. New Journal of Physics, Vol. 20, Issue 11 https://doi.org/10.1088/1367-2630/aae94a	journal	November 2018
Parameterized quantum circuits as machine learning models Benedetti, Marcello; Lloyd, Erika; Sack, Stefan Quantum Science and Technology, Vol. 4, Issue 4 https://doi.org/10.1088/2058-9565/ab4eb5	journal	October 2019
Detector tomography on IBM quantum computers and mitigation of an imperfect measurement Chen, Yanzhu; Farahzad, Maziar; Yoo, Shinjae Physical Review A, Vol. 100, Issue 5 https://doi.org/10.1103/PhysRevA.100.052315	journal	November 2019
Circuit-centric quantum classifiers Schuld, Maria; Bocharov, Alex; Svore, Krysta M. Physical Review A, Vol. 101, Issue 3 https://doi.org/10.1103/PhysRevA.101.032308	journal	March 2020
Cost-function embedding and dataset encoding for machine learning with parametrized quantum circuits Cao, Shuxiang; Wossnig, Leonard; Vlastakis, Brian Physical Review A, Vol. 101, Issue 5 https://doi.org/10.1103/PhysRevA.101.052309	journal	May 2020
Mitigating measurement errors in multiqubit experiments Bravyi, Sergey; Sheldon, Sarah; Kandala, Abhinav Physical Review A, Vol. 103, Issue 4 https://doi.org/10.1103/PhysRevA.103.042605	journal	April 2021
Efficient Z gates for quantum computing McKay, David C.; Wood, Christopher J.; Sheldon, Sarah Physical Review A, Vol. 96, Issue 2 https://doi.org/10.1103/PhysRevA.96.022330	journal	August 2017
Quantum circuit learning Mitarai, K.; Negoro, M.; Kitagawa, M. Physical Review A, Vol. 98, Issue 3 https://doi.org/10.1103/PhysRevA.98.032309	journal	September 2018
Quantum Hopfield neural network Rebentrost, Patrick; Bromley, Thomas R.; Weedbrook, Christian Physical Review A, Vol. 98, Issue 4 https://doi.org/10.1103/PhysRevA.98.042308	journal	October 2018
Quantum Random Access Memory Giovannetti, Vittorio; Lloyd, Seth; Maccone, Lorenzo Physical Review Letters, Vol. 100, Issue 16 https://doi.org/10.1103/PhysRevLett.100.160501	journal	April 2008
Quantum Support Vector Machine for Big Data Classification Rebentrost, Patrick; Mohseni, Masoud; Lloyd, Seth Physical Review Letters, Vol. 113, Issue 13 https://doi.org/10.1103/PhysRevLett.113.130503	journal	September 2014
Error Mitigation for Short-Depth Quantum Circuits Temme, Kristan; Bravyi, Sergey; Gambetta, Jay M. Physical Review Letters, Vol. 119, Issue 18 https://doi.org/10.1103/PhysRevLett.119.180509	journal	November 2017
Quantum Machine Learning in Feature Hilbert Spaces Schuld, Maria; Killoran, Nathan Physical Review Letters, Vol. 122, Issue 4 https://doi.org/10.1103/PhysRevLett.122.040504	journal	February 2019
Quantum adversarial machine learning Lu, Sirui; Duan, Lu-Ming; Deng, Dong-Ling Physical Review Research, Vol. 2, Issue 3 https://doi.org/10.1103/PhysRevResearch.2.033212	journal	August 2020
Practical Quantum Error Mitigation for Near-Future Applications Endo, Suguru; Benjamin, Simon C.; Li, Ying Physical Review X, Vol. 8, Issue 3 https://doi.org/10.1103/PhysRevX.8.031027	journal	July 2018
The use of Multiple Measurements in Taxonomic Problems Fisher, R. A. Annals of Eugenics, Vol. 7, Issue 2 https://doi.org/10.1111/j.1469-1809.1936.tb02137.x	journal	September 1936
Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer Shor, Peter W. SIAM Review, Vol. 41, Issue 2 https://doi.org/10.1137/S0036144598347011	journal	January 1999
Quantum Computation by Local Measurement Raussendorf, Robert; Wei, Tzu-Chieh Annual Review of Condensed Matter Physics, Vol. 3, Issue 1 https://doi.org/10.1146/annurev-conmatphys-020911-125041	journal	March 2012
Deep Learning for Computer Vision: A Brief Review Voulodimos, Athanasios; Doulamis, Nikolaos; Doulamis, Anastasios Computational Intelligence and Neuroscience, Vol. 2018 https://doi.org/10.1155/2018/7068349	journal	January 2018
A new quantum approach to binary classification Sergioli, Giuseppe; Giuntini, Roberto; Freytes, Hector PLOS ONE, Vol. 14, Issue 5 https://doi.org/10.1371/journal.pone.0216224	journal	May 2019
Quantum Computing in the NISQ era and beyond Preskill, John Quantum, Vol. 2 https://doi.org/10.22331/q-2018-08-06-79	journal	August 2018
Data re-uploading for a universal quantum classifier Pérez-Salinas, Adrián; Cervera-Lierta, Alba; Gil-Fuster, Elies Quantum, Vol. 4 https://doi.org/10.22331/q-2020-02-06-226	journal	February 2020
The Species Problem in Iris Anderson, Edgar Annals of the Missouri Botanical Garden, Vol. 23, Issue 3 https://doi.org/10.2307/2394164	journal	September 1936

Similar Records

Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework

Journal Article · 2011 · Physical Review. A · OSTI ID:22068498

Machnes, S; Sander, U; Glaser, S J; +4 more

A unified conceptual framework for prediction and control of microbiomes

Journal Article · 2018 · Current Opinion in Microbiology · OSTI ID:1702057

Stegen, James C.; Bottos, Eric M.; Jansson, Janet K.

Ensemble transport smoothing. Part I: Unified framework

Journal Article · 2023 · Journal of Computational Physics: X · OSTI ID:2205545

Ramgraber, Maximilian; Baptista, Ricardo; McLaughlin, Dennis; +1 more

Related Subjects

97 MATHEMATICS AND COMPUTING

Title: Unified framework for quantum classification

Citation Formats

References (39)

Similar Records

Related Subjects