Qubit, An Intuition #4 — Unitary Matrices for Quantum Computation
The beauty of Quantum Mechanics for Quantum Computation, featuring IBM Quantum
Andi Sama — CIO, Sinergi Wahana Gemilang with Cahyati S. Sangaji
TL;DR;
Unitary matrices, with examples and their implementation in IBM quantum.Please refer to the previous articles:
“Qubit, An Intuition #1 — First Baby Steps in Exploring the Quantum World” for a discussion on a single qubit as a computing unit for quantum computation.
- "Qubit, An Intuition #2 - Inner Product, Outer Product, and Tensor Product" for a discussion on two-qubits operations.
- "Qubit, An Intuition #3 - Quantum Measurement, Full and Partial Qubits" for examples on full and partial quantum measurements.
For an introductory helicopter view of the overall six articles in the series, please visit this link “Embarking on a Journey to Quantum Computing — Without Physics Degree.”
To do the quantum computation, we need to have reversible transformations, meaning that input can be reconstructed from the output after a series of transformations to transform a quantum state.
Mathematically, reversible transformations are performed by unitary matrices.
