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Binary string

A binary string is a finite, ordered sequence of binary digits, each having the value zero or one.

How 5 Manning books explain it

Quantum Programming in Depth

A bit string is a finite sequence of binary digits used here to represent a computational basis state.

How it is used
Labels basis states, measurement outputs, oracle inputs, and constrained search candidates.
How deep it goes
Defines binary strings operationally through indexing, measurement, parity, and search encodings, while deferring general encoding theory.
Examples
Uses \(\ket{01}\), measured two-qubit outcomes, marked strings \(001\) and \(110\), and N queens board encodings.
What you can do after
Apply it via quantum programming tools by mapping basis labels to indexes and interpreting oracle or measurement inputs consistently.

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Building Quantum Software with Python

A binary string is a finite sequence of symbols drawn from the binary alphabet, typically 0 and 1.

How it is used
Represents quantum-computation measurement results and supports interpreting them as integers or encoded variables.
How deep it goes
Defines binary strings, relates length to qubit count and outcome count, and demonstrates decimal interpretation without pursuing hardware implementation.
Examples
Uses one-, two-, and three-qubit outcome tables, the outcome 100 interpreted as 4, and registers encoding a knapsack problem.
What you can do after
Evaluate/understand quantum measurement outcomes as bit sequences, integers, probability samples, or register-encoded values.

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Elixir in Action, Third Edition

A binary is a contiguous sequence of bytes used by Elixir to represent binary data and strings.

How it is used
Represents strings and byte-oriented data while supporting efficient output and binary protocol parsing.
How deep it goes
Defines construction, sizing, concatenation, and basic matching, but defers extensive binary handling and Unicode character processing.
Examples
Uses byte literals, sized bit fields, concatenated binaries, command-prefix matching, and nested IO-list output.
What you can do after
Apply it via Elixir syntax to construct, concatenate, match, and route byte sequences to I/O functions.

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Advanced Algorithms and Data Structures

A bit string is a finite sequence of binary digits used to represent information or a candidate solution.

How it is used
Encodes candidate solutions for genetic algorithms when decisions can be represented as binary inclusion or exclusion choices.
How deep it goes
Defines bit-level encoding and initialization, then contrasts binary chromosomes with real-valued and permutation representations.
Examples
Uses 0–1 knapsack and minimum vertex cover, contrasting item or vertex subsets selected by individual bits.
What you can do after
Apply it via genetic algorithms to encode, initialize, mutate, and recombine subset-selection solutions.

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Optimization Algorithms: AI techniques for design, planning, and control problems

A bit string is an ordered sequence whose elements are binary digits.

How it is used
Represents candidate solutions for binary genetic algorithms and discrete particle-swarm optimization.
How deep it goes
Defines bitwise representation, explains fixed-length numeric encoding, and describes probabilistic BPSO updates.
Examples
Uses ticket-price chromosomes such as 01001101 and 11001011, plus bitwise particle updates in BPSO.
What you can do after
Apply it via binary genetic algorithms or binary particle swarm optimization to encode and search candidate solutions.

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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.