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ExperimentsExperiment 15 Β· Quantum AI

Quantum + AI Agent

An educational agent decides: classical or quantum search?

  1. 1. Learn
  2. 2. Watch
  3. 3. Interact
  4. 4. Predict
  5. 5. Run
  6. 6. Observe
  7. 7. Record
  8. 8. Answer
  9. 9. Research
β‘  What is the problem?

When should a computer choose a quantum algorithm?

β‘‘ How does a classical computer approach it?

Most problems (sorted data, arithmetic, small N) are best solved classically.

β‘’ How does the quantum approach differ?

Grover helps for unstructured search with an efficient oracle and large N β€” and only on fault-tolerant hardware.

β‘£ What is happening mathematically?
Compare expected cost: classical ~N/2 checks vs Grover ~(Ο€/4)√N queries Γ— oracle cost (+ error-correction overhead).
β‘€ What does the simulation show?
A transparent rule-based agent: problem β†’ analysis β†’ choice β†’ simulation β†’ comparison β†’ explanation.
β‘₯ What did we learn?
Choosing the right algorithm matters more than 'using quantum'. This is an educational simulation, not a production quantum AI system.
⑦ What can you experiment with?
Give the agent the sorted-dictionary problem. Why does it refuse Grover?
πŸ““ Record: my lab notebook