Course Syllabus
Obiettivi
Aims
Understanding Quantum Computing Fundamentals: Provide students with a foundational understanding of the principles and concepts that underpin quantum computing, including qubits, superposition, entanglement, and quantum gates.
Exploring Quantum Algorithms: Introduce students to various quantum algorithms such as Grover's algorithm, Shor's algorithm, and quantum simulation algorithms. Students learn how these algorithms differ from classical algorithms and their potential applications.
Tentative contents
- Introduction to quantum technology
- Introduction to superconducting platform
- Basics of quantum information
- Fundamentals of quantum algorithms
- Quantum Machine Learning: implicit and explicit model
- Quantum Information and High energy physics: connecting the dots (theory and use case)
- Introduction to software for quantum computing
- From quantum algorithms to software package
Lecturers
Michele Grossi
European Organization for Nuclear Research (CERN)
Quantum Technology Initiative, CERN
michele.grossi@cern.ch
Andrea Giachero
Università di Milano-Bicocca
Sezione INFN di Milano-Bicocca
Bicocca Quantum Technologies (BiQuTe) centre
andrea.giachero@unimib.it
Orario di ricevimento
Aims
Understanding Quantum Computing Fundamentals: Provide students with a foundational understanding of the principles and concepts that underpin quantum computing, including qubits, superposition, entanglement, and quantum gates.
Exploring Quantum Algorithms: Introduce students to various quantum algorithms such as Grover's algorithm, Shor's algorithm, and quantum simulation algorithms. Students learn how these algorithms differ from classical algorithms and their potential applications.
Tentative contents
Introduction to quantum technology
Introduction to superconducting platform
Basics of quantum information
Fundamentals of quantum algorithms
Quantum Machine Learning: implicit and explicit model
Quantum Information and High energy physics: connecting the dots (theory and use case)
Introduction to software for quantum computing
From quantum algorithms to software package
Aims
Aims
Understanding Quantum Computing Fundamentals: Provide students with a foundational understanding of the principles and concepts that underpin quantum computing, including qubits, superposition, entanglement, and quantum gates.
Exploring Quantum Algorithms: Introduce students to various quantum algorithms such as Grover's algorithm, Shor's algorithm, and quantum simulation algorithms. Students learn how these algorithms differ from classical algorithms and their potential applications.
Tentative contents
- Introduction to quantum technology
- Introduction to superconducting platform
- Basics of quantum information
- Fundamentals of quantum algorithms
- Quantum Machine Learning: implicit and explicit model
- Quantum Information and High energy physics: connecting the dots (theory and use case)
- Introduction to software for quantum computing
- From quantum algorithms to software package
Lecturers
Michele Grossi
European Organization for Nuclear Research (CERN)
Quantum Technology Initiative, CERN
michele.grossi@cern.ch
Andrea Giachero
Università di Milano-Bicocca
Sezione INFN di Milano-Bicocca
Bicocca Quantum Technologies (BiQuTe) centre
andrea.giachero@unimib.it