Mathematics, Linear Algebra, Quantum Computing, Quantum, Education.
e.vᵢ where vᵢ is the iᵗʰ component of the vector v. What you will get is a polynomial with degree n and the n roots of this polynomial correspond to the eigenvalues of your matrix. The above task is kind of tedious though and we shall stick to the 2-dimensional eigenvectors because they are