Quantum Support Vector Machine for Big Data Classification

Quantum Support Vector Machine for Big Data Classification

Supervised machine learning is the classification of new data based on already classified training examples. In this work, we show that the support vector machine, an optimized binary classifier, can be implemented on a quantum computer, with complexity logarithmic in the size of the vectors and the...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän:	Mohseni, Masoud, Lloyd, Seth, Rebentrost, Frank Patrick
Övriga upphovsmän:	Massachusetts Institute of Technology. Department of Mechanical Engineering
Materialtyp:	Artikel
Språk:	English
Publicerad:	American Physical Society 2014
Länkar:	http://hdl.handle.net/1721.1/90391 https://orcid.org/0000-0002-6728-8163

Liknande verk

Quantum principal component analysis
av: Lloyd, Seth, et al.
Publicerad: (2015)

Environment-assisted quantum transport
av: Rebentrost, Patrick, et al.
Publicerad: (2012)

Quantum gradient descent and Newton’s method for constrained polynomial optimization
av: Rebentrost, Frank Patrick, et al.
Publicerad: (2020)

Symmetry-enhanced supertransfer of delocalized quantum states
av: Lloyd, Seth, et al.
Publicerad: (2012)

Quantum Hopfield neural network
av: Rebentrost, Patrick, et al.
Publicerad: (2018)

From Regression to Classification in Support Vector Machines
av: Pontil, Massimiliano, et al.
Publicerad: (2004)

Multiclass support vector machines for classification of ECG data with missing values
av: Hejazi, Maryamsadat, et al.
Publicerad: (2015)

Numerical evidence for robustness of environment-assisted quantum transport
av: Shabani, A., et al.
Publicerad: (2014)

Quantum singular-value decomposition of nonsparse low-rank matrices
av: Rebentrost, Frank, et al.
Publicerad: (2018)

Energy-scales convergence for optimal and robust quantum transport in photosynthetic complexes
av: Shabani, A., et al.
Publicerad: (2015)

Optimized support vector machines for nonstationary signal classification
av: Davy, M, et al.
Publicerad: (2002)

Improving Multiclass Text Classification with the Support Vector Machine
av: Rennie, Jason D. M., et al.
Publicerad: (2004)

Leukemia cancer classification based on Support Vector Machine
av: Hsieh, S, et al.
Publicerad: (2010)

An efficient quantum algorithm for spectral estimation
av: Eisert, Jens, et al.
Publicerad: (2017)

Intelligent classification algorithms in enhancing the performance of support vector machine
av: Alwan, Hiba Basim, et al.
Publicerad: (2019)

Enhancement of new smooth support vector machines for classification problems
av: Santi Wulan, Purnami
Publicerad: (2011)

Study of traffic incident classification using support vector machine
av: Tan, Jing Mei
Publicerad: (2017)

Geometrical effects on energy transfer in disordered open quantum systems
av: Shabani, A., et al.
Publicerad: (2015)

Exciton diffusion length in complex quantum systems: the effects of disorder and environmental fluctuations on symmetry-enhanced supertransfer
av: Abasto, D. F., et al.
Publicerad: (2013)

Quantum Brachistochrone Curves as Geodesics: Obtaining Accurate Minimum-Time Protocols for the Control of Quantum Systems
av: Wang, Xiaoting, et al.
Publicerad: (2015)

Classification performance of support vector machines on genomic data utilizing feature space selection techniques
av: Sharma, Jason P. (Jason Poonam), 1979-
Publicerad: (2014)

A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
av: Mohd Dzulkifli, Syarizul Amri
Publicerad: (2021)

A modified weighted support vector machine (WSVM) to reduce noise data in classification problem
av: Mohd Dzulkifli, Syarizul Amri
Publicerad: (2021)

Estimation of many-body quantum Hamiltonians via compressive sensing
av: Shabani, A., et al.
Publicerad: (2011)

Neural networks and support vector machines based bio-activity classification
av: Zeb Shah, Jehan, et al.
Publicerad: (2006)

Integration of spectral information into support vector machine for land cover classification
av: Md. Sap, Mohd. Noor, et al.
Publicerad: (2007)

Lightning fault classification for transmission line using support vector machine
av: Asman, Saidatul Habsah, et al.
Publicerad: (2023)

Gender classification from face images using support vector machine
av: Phyu Phyu Thant.
Publicerad: (2008)

Hyperspectral image classification with support vector machines on kernel distribution embeddings
av: Franchi, G, et al.
Publicerad: (2016)

Machining process classification using PCA reduced histogram features and the support vector machine
av: Ashour, Mohammed Waleed, et al.
Publicerad: (2015)

Time-optimal quantum control via differential geometry
av: Wang, Xiaoting, et al.
Publicerad: (2018)

A comparison of support vector machine and decision tree classifications using satellite data of Langkawi Island
av: Mohd Shafri, Helmi Zulhaidi, et al.
Publicerad: (2009)

An enhanced feature selection and cancer classiﬁcation for microarray data using relaxed Lasso and support vector machine
av: Aina Umairah, Mazlan, et al.
Publicerad: (2021)

An improved algorithm for iris classification by using support vector machine and binary random machine learning
av: Kamarulzalis, Ahmad Haadzal
Publicerad: (2018)

Texture-based classification of workpiece surface images using the support vector machine
av: Ashour, Mohammed Waleed, et al.
Publicerad: (2015)

Banana quality attribute prediction and ripeness classification using support vector machine
av: Adebayo, Segun Emmanuel, et al.
Publicerad: (2017)

The classification of skateboarding tricks: A support vector machine hyperparameter evaluation optimisation
av: Muhammad Ar Rahim, Ibrahim, et al.
Publicerad: (2021)

Rain classification for autonomous vehicle navigation : A support vector machine approach
av: Abdul Haleem, Habeeb Mohamed, et al.
Publicerad: (2020)

Waste classification using support vector machine with SIFT-PCA feature extraction
av: Puspaningrum, Adita Putri, et al.
Publicerad: (2020)

Combined support vector machine and pattern matching for hadith question classification system
av: Ali Muttaleb, Hasan, et al.
Publicerad: (2018)