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Hidden linear function problem

Hidden linear function problem is a mathematics 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 Hidden linear function problem rather than just read about it. In short: The hidden linear function problem, is a search problem that generalizes the Bernstein–Vazirani problem. In the Bernstein–Vazirani problem, the hidden function is implicitly specified in an oracle; while in the 2D hidden linear function problem (2D HLF), the hidden function is explicitly specified by a matrix and a binary vector. 2D HLF can be solved exactly by a constant-depth quantum circuit restricted to a 2-dime…

Key takeaways

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

Reference excerpt

The hidden linear function problem, is a search problem that generalizes the Bernstein–Vazirani problem. In the Bernstein–Vazirani problem, the hidden function is implicitly specified in an oracle; while in the 2D hidden linear function problem (2D HLF), the hidden function is explicitly specified by a matrix and a binary vector. 2D HLF can be solved exactly by a constant-depth quantum circuit restricted to a 2-dimensional grid of qubits using bounded fan-in gates but can't be solved by any sub-exponential size, constant-depth classical circuit using unbounded fan-in biased threshold gates. While Bernstein–Vazirani's problem was designed to prove an oracle separation between complexity classes BQP and BPP, 2D HLF was designed to prove an explicit separation between the circuit classes Q N C 0 {\displaystyle QNC^{0}} and N C 0 {\displaystyle NC^{0}} ( Q N C 0 ⊈ N C 0 {\displaystyle QNC^{0}\nsubseteq NC^{0}} ).

2D HLF problem statement Given A ∈ F 2 n × n {\displaystyle A\in \mathbb {F} _{2}^{n\times n}} (an upper- triangular binary matrix of size n × n {\displaystyle n\times n} ) and b ∈ F 2 n {\displaystyle b\in \mathbb {F} _{2}^{n}} (a binary vector of length n {\displaystyle n} ), define a function q : F 2 n → Z 4 {\displaystyle q:\mathbb {F} _{2}^{n}\to \mathbb {Z} _{4}} :

q ( x ) = ( 2 x T A x + b T x ) mod 4 = ( 2 ∑ i , j A i , j x i x j + ∑ i b i x i ) mod 4 , {\displaystyle q(x)=(2x^{T}Ax+b^{T}x){\bmod {4}}=\left(2\sum _{i,j}A_{i,j}x_{i}x_{j}+\sum _{i}b_{i}x_{i}\right){\bmod {4}},}

and

L q = { x ∈ F 2 n : q ( x ⊕ y ) = ( q ( x ) + q ( y ) ) mod 4 ∀ y ∈ F 2 n } . {\displaystyle {\mathcal {L}}_{q}={\Big \{}x\in \mathbb {F} _{2}^{n}:q(x\oplus y)=(q(x)+q(y)){\bmod {4}}~~\forall y\in \mathbb {F} _{2}^{n}{\Big \}}.}

There exists a z ∈ F 2 n {\displaystyle z\in \mathbb {F} _{2}^{n}} such that

q ( x ) = 2 z T x ∀ x ∈ L q . {\displaystyle q(x)=2z^{T}x~~\forall x\in {\mathcal {L}}_{q}.}

Find z {\displaystyle z} .

2D HLF algorithm With 3 registers; the first holding A {\displaystyle A} , the second containing b {\displaystyle b} and the third carrying an n {\displaystyle n} -qubit state, the circuit has controlled gates which implement

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hidden linear function problem

Start with the simplest possible case. Write down what Hidden linear function problem claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Hidden linear function problem 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 Hidden linear function problem 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 Hidden linear function problem

In research
Hidden linear function problem appears in mathematics 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 Hidden linear function problem 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
Hidden linear function problem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational complexity theory, Quantum algorithms, Quantum complexity theory, so understanding it makes those chapters shorter.
In everyday life
Look for Hidden linear function problem 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 Hidden linear function problem in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hidden linear function problem 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 Hidden linear function problem out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hidden linear function problem in simple terms?

The hidden linear function problem, is a search problem that generalizes the Bernstein–Vazirani problem. In the Bernstein–Vazirani problem, the hidden function is implicitly specified in an oracle; while in the 2D hidden linear function problem (2D HLF), the hidden function is explicitly specified…

Why does Hidden linear function problem matter?

Because it connects several mathematics 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 Hidden linear function problem?

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 Hidden linear function problem.

Tags

  • Computational complexity theory
  • Quantum algorithms
  • Quantum complexity theory

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