Prerequisite

Below is a list of topic one should touch upon, or get familiar with before the workshop.

Algebra

• Vectors: Vectors, chapter 1, Essence of linear Algebra (Video)

• Linear combinations, span and matrices

• Linear transfromations and matrices

• Matrix mutiplication

• Eigenvectors and eigenvalues

Complex numbers

• Complex number overview: Introduction to Partial Differential Equations

• Imaginary numbers

• Complex numbers

• Complex numbers on Argand plane

• Linear gradient (2D), for optimization:

Qubits, Gates, circuits

• Bits to Qubits

Hamiltonian

simple description

Hamiltonian, in physics represents a function denoting the system’s energy. In very simple terms, it is expressed as sum of all sources of energy of a given system. For example, for a single particle it’s hamiltonian is sum of it’s kinetic and potential energy.

• Hamiltonian, a quick intro

See the page of Hamiltonian for a bit more detailed description of the term.

Further exploration

Below is a list of topics or keywords to explore -

• Classical Suppoer Vector Machines (SVM)

• Qiskit introduction

• Define and print basic circuits manually

• Device simulators (ideal vs noisy vs fake)

• Run simple circuit examples

• Grover Algorithm, Shor’s Algorithm