liveBook · Manning

Quantum computing

Quantum computing is computation that represents and processes information using quantum-mechanical states and operations.

How 2 Manning books explain it

Quantum Programming in Depth

Quantum computing is computation that uses quantum-mechanical states and operations to process information.

How it is used
Frames specialized problem solving and the workflow for judging quantum solutions against classical baselines.
How deep it goes
Defines the paradigm and gate-based representation, then defers detailed algorithm implementation to concrete workflows.
Examples
Uses quantum-system simulation and Grover’s black-box unstructured search as representative applications.
What you can do after
Evaluate/understand whether a quantum approach can offer practical advantage over the best classical algorithm.

Read how Quantum Programming in Depth explains quantum computing →

Building Quantum Software with Python

Quantum computing, or quantum computation, is computation that exploits quantum-mechanical states and operations to process information.

How it is used
Assesses when quantum, classical, or hybrid approaches fit business and scientific problems.
How deep it goes
Explains states, gates, registers, repeated measurement, and amplitude amplification, while deferring quantum hardware details.
Examples
Uses Fourier transforms, a knapsack optimization encoding, binary-string outcomes, and multi-qubit state examples.
What you can do after
Build small-scale quantum solutions and evaluate problems for quantum, quantum-inspired, or hybrid approaches.

Read how Building Quantum Software with Python explains quantum computing →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.