are the mathematical backbone of quantum mechanics. They represent quantum systems as complex-valued vectors in , allowing us to describe and manipulate quantum states with precision.
provides a powerful shorthand for working with quantum states. It simplifies calculations and helps visualize complex operations, making it an essential tool for understanding and manipulating quantum information.
Quantum State Vectors
Mathematical representation of quantum states
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Variational Quantum Singular Value Decomposition – Quantum View original
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State vectors in quantum mechanics represent quantum systems as complex-valued vectors in Hilbert space
Properties of state vectors include condition ⟨ψ∣ψ⟩=1 ensures total probability is 1 and linear principle allows combining states
form foundation for representing qubits (computational basis ∣0⟩ and ∣1⟩)
General state expressed as ∣ψ⟩=α∣0⟩+β∣1⟩ where α and β are complex amplitudes
Multi-qubit systems constructed using of individual qubit states leads to exponential growth in dimensionality (2^n for n qubits)
Dirac notation for quantum states
notation ∣ψ⟩ represents column vectors describing quantum states
notation ⟨ψ∣ denotes row vectors (conjugate transpose of ket)
in Dirac notation written as A^ act on kets A^∣ψ⟩
calculated using ⟨A^⟩=⟨ψ∣A^∣ψ⟩
Projectors formed by ∣ψ⟩⟨ψ∣ project onto specific states
Operations on quantum state vectors
Inner products ⟨ϕ∣ψ⟩ measure overlap between states with properties (conjugate symmetry, linearity, positive-definiteness)
Outer products ∣ψ⟩⟨ϕ∣ create operators for state transformations
Vector addition and scalar multiplication enable superposition ∣ψ⟩=c1∣ϕ1⟩+c2∣ϕ2⟩
Tensor products ∣ψ⟩⊗∣ϕ⟩ combine separate quantum systems ()
Probabilities in quantum measurements
determines probability of measuring state ∣ϕ⟩ as P(ϕ)=∣⟨ϕ∣ψ⟩∣2
calculate probability of outcome a using P(a)=⟨ψ∣P^a∣ψ⟩
Expectation values of observables computed as ⟨A^⟩=∑iaiP(ai)
Measurement causes collapse of wave function to observed state
Dirac notation vs matrix representations
Single-qubit states in matrix form: ∣0⟩=(10), ∣1⟩=(01)
General state ∣ψ⟩=α∣0⟩+β∣1⟩=(αβ) shows amplitudes
Operators as matrices include Pauli matrices (σx, σy, σz) and Hadamard gate H=21(111−1)
Multi-qubit states represented using tensor product (2^n-dimensional vectors)
Transforming between representations involves identifying basis states and coefficients (Dirac to matrix) or writing out components (matrix to Dirac)