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Preparation of Fractional Quantum Hall States

Z-Pauli expectation values showing the preserved Charge Density Wave (CDW) order with quantum fluctuations characteristic of the v = 1/3 Laughlin state.

Overview

This project utilizes IBM Qiskit to simulate the quantum circuit preparation of Fractional Quantum Hall (FQH) states on a 1D qubit chain. Specifically, it targets the Laughlin state.

Features

  • State Initialization: Prepares the root partition $|100100\dots\rangle$ corresponding to the $\nu=1/3$ Charge Density Wave (CDW).
  • Parameterized Ansatz: Uses layers of $R_y(\theta)$ and $CX$ gates to introduce many-body entanglement.
  • Measurement: Calculates the local magnetization $\langle Z_i \rangle$ to verify the order parameter.
  • Visualization: Automatically generates circuit diagrams and expectation value plots.

Results Analysis

1. The Circuit Structure

The quantum circuit (below) implements the state preparation ansatz.

  • Initialization (Blue X Gates): The qubits $q_0, q_3, q_6, \dots$ are flipped to $|1\rangle$, creating the initial pattern $|100100100\dots\rangle$.
  • Entanglement (Rotations & CNOTs): The subsequent gates "melt" this crystalline order, introducing the necessary quantum superposition to approximate the topological ground state.

2. Physical Interpretation of Data

The results graph (shown at the top) plots the expectation value $\langle Z_i \rangle$ for each site.

  • Period-3 Oscillation: The data follows a clear pattern of "Down-Up-Up" ($\langle Z \rangle < 0$ followed by two $\langle Z \rangle > 0$), confirming that the system remains in the $\nu=1/3$ phase.
  • Quantum Fluctuations: Crucially, the peaks do not reach the classical limits of $\pm 1.0$. The observed values of $\approx \pm 0.75$ indicate strong quantum fluctuations. This confirms that the system has evolved away from the trivial product state into a macroscopic superposition, a hallmark of the FQH liquid phase.

Usage

1. Prerequisites

You will need Python installed along with Qiskit and Matplotlib:

pip install qiskit matplotlib numpy

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Circuit written in Python with IBM's Qiskit simulation Fractional Quantum Hall States

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