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Quantum convolutional code

Quantum convolutional code is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Quantum convolutional code rather than just read about it. In short: Quantum block codes are useful in quantum computing and in quantum communications. The encoding circuit for a large block code typically has a high complexity although those for modern codes do have lower complexity.

Key takeaways

  • Quantum convolutional code belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Quantum convolutional code to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Quantum convolutional code from memory before moving on to harder problems.

Reference excerpt

Quantum block codes are useful in quantum computing and in quantum communications. The encoding circuit for a large block code typically has a high complexity although those for modern codes do have lower complexity. Quantum convolutional coding theory offers a different paradigm for coding quantum information. The convolutional structure is useful for a quantum communication scenario where a sender possesses a stream of qubits to send to a receiver. The encoding circuit for a quantum convolutional code has a much lower complexity than an encoding circuit needed for a large block code. It also has a repetitive pattern so that the same physical devices or the same routines can manipulate the stream of quantum information. Quantum convolutional stabilizer codes borrow heavily from the structure of their classical counterparts. Quantum convolutional codes are similar because some of the qubits feed back into a repeated encoding unitary and give the code a memory structure like that of a classical convolutional code. The quantum codes feature online encoding and decoding of qubits. This feature gives quantum convolutional codes both their low encoding and decoding complexity and their ability to correct a larger set of errors than a block code with similar parameters.

Definition A quantum convolutional stabilizer code acts on a Hilbert space H , {\displaystyle {\mathcal {H}},}

which is a countably infinite tensor product of two-dimensional qubit Hilbert spaces indexed over integers ≥ 0

{ H i } i ∈ Z + {\displaystyle \left\{{\mathcal {H}}_{i}\right\}_{i\in \mathbb {Z} ^{+}}} :

H = ⨂ i = 0 ∞ H i . {\displaystyle {\mathcal {H}}={\displaystyle \bigotimes \limits _{i=0}^{\infty }}\ {\mathcal {H}}_{i}.}

A sequence

A {\displaystyle \mathbf {A} } of Pauli matrices { A i } i ∈ Z + {\displaystyle \left\{A_{i}\right\}_{i\in \mathbb {Z} ^{+}}} , where

A = ⨂ i = 0 ∞ A i , {\displaystyle \mathbf {A} ={\displaystyle \bigotimes \limits _{i=0}^{\infty }}\ A_{i},}

can act on states in H {\displaystyle {\mathcal {H}}} . Let Π Z + {\displaystyle \Pi ^{\mathbb {Z} ^{+}}} denote the set of all Pauli sequences. The support supp ( A ) {\displaystyle \left(\mathbf {A} \right)} of a Pauli sequence A {\displaystyle \mathbf {A} } is the set of indices of the entries in A {\displaystyle \mathbf {A} } that are not equal to the identity. The weight of a sequence A {\displaystyle \mathbf {A} } is the size | supp ( A ) | {\displaystyle \left\vert {\text{supp}}\left(\mathbf {A} \right)\right\vert } of its support. The delay del ( A ) {\displaystyle \left(\mathbf {A} \right)} of a sequence A {\displaystyle \mathbf {A} } is the smallest index for an entry not equal to the identity. The degree deg ( A ) {\displaystyle \left(\mathbf {A} \right)} of a sequence A {\displaystyle \mathbf {A} } is the largest index for an entry not equal to the identity. E.g., the following Pauli sequence

I X I Y Z I I ⋯ , {\displaystyle {\begin{array}{cccccccc}I&X&I&Y&Z&I&I&\cdots \end{array}},}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Quantum convolutional code

Start with the simplest possible case. Write down what Quantum convolutional code claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Quantum convolutional code before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Quantum convolutional code ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Quantum convolutional code

In research
Quantum convolutional code appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Quantum convolutional code in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Quantum convolutional code is common in secondary-school and first-year university syllabi. It links to neighbouring topics Quantum information science, so understanding it makes those chapters shorter.
In everyday life
Look for Quantum convolutional code outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Quantum convolutional code in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quantum convolutional code means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Quantum convolutional code out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quantum convolutional code in simple terms?

Quantum block codes are useful in quantum computing and in quantum communications. The encoding circuit for a large block code typically has a high complexity although those for modern codes do have lower complexity.

Why does Quantum convolutional code matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Quantum convolutional code?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Quantum convolutional code.

Tags

  • Quantum information science

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