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cirq

by davila7

Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal),

Installation

Pick a client and clone the repository into its skills directory.

Installation

Quick info

Author
davila7
Category
UX / Design
Views
62
GitHub repo

About this skill

Quantum computing framework for building, simulating, optimizing, and executing quantum circuits. Use this skill when working with quantum algorithms, quantum circuit design, quantum simulation (noiseless or noisy), running on quantum hardware (Google, IonQ, AQT, Pasqal), circuit optimization and compilation, noise modeling and characterization, or quantum experiments and benchmarking (VQE, QAOA, QPE, randomized benchmarking).

How to use

  1. Zainstaluj Cirq poleceniem uv pip install cirq. Jeśli chcesz pracować z konkretnym sprzętem kwantowym, dodaj odpowiedni pakiet: cirq-google dla Google Quantum Engine, cirq-ionq dla IonQ, cirq-aqt dla AQT lub cirq-pasqal dla Pasqal.

  2. Stwórz qubity używając cirq.LineQubit.range(liczba), aby zdefiniować liczbę kubitów potrzebnych do Twojego obwodu.

  3. Zbuduj obwód kwantowy dodając bramki logiczne (np. Hadamard, CNOT) i pomiary. Użyj cirq.Circuit() i wewnątrz umieść operacje na kubitach, takie jak cirq.H(qubit) dla bramki Hadamarda czy cirq.CNOT(kontrola, cel) dla bramy CNOT.

  4. Symuluj obwód tworząc instancję cirq.Simulator() i uruchamiając simulator.run(obwód, repetitions=liczba), aby uzyskać wyniki pomiarów.

  5. Dla zaawansowanych eksperymentów użyj parametrów symbolicznych (sympy.Symbol) i run_sweep() do przeskanowania zakresu wartości parametrów, co pozwala badać zachowanie obwodu w różnych warunkach.

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