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You're reading from  A Practical Guide to Quantum Machine Learning and Quantum Optimization

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Published inMar 2023
PublisherPackt
ISBN-139781804613832
Edition1st Edition
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Authors (2):
Elías F. Combarro
Elías F. Combarro
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Elías F. Combarro

Elías F. Combarro holds degrees from the University of Oviedo (Spain) in both Mathematics (1997, award for second highest grades in the country) and Computer Science (2002, award for highest grades in the country). After some research stays at the Novosibirsk State University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under the supervision of Prof. Andrey Morozov and Prof. Consuelo Martínez. Since 2009, Elías F. Combarro has been an associate professor at the Computer Science Department of the University of Oviedo. He has published more than 50 research papers in international journals on topics such as Computability Theory, Machine Learning, Fuzzy Measures and Computational Algebra. His current research focuses on the application Quantum Computing to algebraic, optimisation and machine learning problems. From July 2020 to January 2021, he was a Cooperation Associate at CERN openlab. Currently, he is the Spain representative in the Advisory Board of CERN Quantum Technology Initiative, a member of the Advisory Board of SheQuantum and one of the founders of the QSpain, a quantum computing think tank based in Spain.
Read more about Elías F. Combarro

Samuel González-Castillo
Samuel González-Castillo
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Samuel González-Castillo

Samuel González-Castillo holds degrees from the University of Oviedo (Spain) in both Mathematics and Physics (2021). He is currently a mathematics research student at the National University of Ireland, Maynooth, where he works as a graduate teaching assistant. He completed his physics bachelor thesis under the supervision of Prof. Elías F. Combarro and Prof. Ignacio F. Rúa (University of Oviedo), and Dr. Sofia Vallecorsa (CERN). In it, he worked alongside other researchers from ETH Zürich on the application of Quantum Machine Learning to classification problems in High Energy Physis. In 2021, he was a summer student at CERN developing a benchmarking framework for quantum simulators. He has contributed to several conferences on quantum computing.
Read more about Samuel González-Castillo

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Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

Appendix B
Basic Linear Algebra

Algebra is generous. She often gives you more than is asked of her.
— Jean le Rond d’Alembert

In this chapter, we will present a very broad overview of linear algebra. More than anything, this is meant to be a refresher. If you would like to learn linear algebra from the basics, we suggest reading Sheldon Axler’s wonderful book [116]. If you are all-in with abstract algebra, we can also recommend the great book by Dummit and Foote [115]. With this out of the way, let’s do some algebra!

When most people think of vectors, they think of fancy arrows pointing in a direction. But, where others see arrows, we mathematicians — in our tireless pursuit of abstraction — see elements of vector spaces. And what is a vector space? Simple!

B.1 Vector spaces

Let be the real or the complex numbers. An -vector space is a set together with an ”addition” function (usually represented by , for obvious reasons) and...

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Authors (2)

author image
Elías F. Combarro

Elías F. Combarro holds degrees from the University of Oviedo (Spain) in both Mathematics (1997, award for second highest grades in the country) and Computer Science (2002, award for highest grades in the country). After some research stays at the Novosibirsk State University (Russia), he obtained a Ph.D. in Mathematics (Oviedo, 2001) with a dissertation on the properties of some computable predicates under the supervision of Prof. Andrey Morozov and Prof. Consuelo Martínez. Since 2009, Elías F. Combarro has been an associate professor at the Computer Science Department of the University of Oviedo. He has published more than 50 research papers in international journals on topics such as Computability Theory, Machine Learning, Fuzzy Measures and Computational Algebra. His current research focuses on the application Quantum Computing to algebraic, optimisation and machine learning problems. From July 2020 to January 2021, he was a Cooperation Associate at CERN openlab. Currently, he is the Spain representative in the Advisory Board of CERN Quantum Technology Initiative, a member of the Advisory Board of SheQuantum and one of the founders of the QSpain, a quantum computing think tank based in Spain.
Read more about Elías F. Combarro

author image
Samuel González-Castillo

Samuel González-Castillo holds degrees from the University of Oviedo (Spain) in both Mathematics and Physics (2021). He is currently a mathematics research student at the National University of Ireland, Maynooth, where he works as a graduate teaching assistant. He completed his physics bachelor thesis under the supervision of Prof. Elías F. Combarro and Prof. Ignacio F. Rúa (University of Oviedo), and Dr. Sofia Vallecorsa (CERN). In it, he worked alongside other researchers from ETH Zürich on the application of Quantum Machine Learning to classification problems in High Energy Physis. In 2021, he was a summer student at CERN developing a benchmarking framework for quantum simulators. He has contributed to several conferences on quantum computing.
Read more about Samuel González-Castillo