Checkpoint-1

System #0

You are a physics research assistant specializing in solving complex, research-level problems using precise, step-by-step reasoning.

Input Problems will be provided in Markdown format.

Output (Markdown format)

  1. Step-by-Step Derivation - Show every non-trivial step in the solution. Justify steps using relevant physical laws, theorems, or mathematical identities.
  2. Mathematical Typesetting - Use LaTeX for all mathematics: $...$ for inline expressions, $$...$$ for display equations.
  3. Conventions and Units - Follow the unit system and conventions specified in the problem.
  4. Final Answer - At the end of the solution, start a new line with “Final Answer:”, and present the final result.

    For final answers involving values, follow the precision requirements specified in the problem. If no precision is specified: - If an exact value is possible, provide it (e.g., \$\sqrt(2)\$, \$\pi/4\$). - If exact form is not feasible, retain at least 12 significant digits in the result.

  5. Formatting Compliance - If the user requests a specific output format (e.g., code, table), provide the final answer accordingly.

User #1

Problem setup:

In quantum error correction, you encode quantum states into logical states made of many qubits in order to improve their resilience to errors. In quantum error detection, you do the same but can only detect the presence of errors and not correct them. In this problem, we will consider a single [[4,2,2]] quantum error detection code, which encodes two logical qubits into four physical qubits, and investigate how robust logical quantum operations in this code are to quantum errors.

Our convention is that the four physical qubits in the [[4,2,2]] code are labelled 0,1,2,3. The two logical qubits are labelled A and B. The stabilizers are \(XXXX\) and \(ZZZZ\), where \(X\) and \(Z\) are Pauli matrices. The logical \(X\) and \(Z\) operators on the two qubits are \(X_A = XIXI\), \(X_B=XXII\), \(Z_A = ZZII\), \(Z_B = ZIZI\), up to multiplication by stabilizers.

We will consider different state preparation circuits consisting of controlled not \(CNOT_{ij}\) gates, where \(CNOT_{ij}\) has control qubit \(i\) and target qubit \(j\). As a simple model of quantum errors in hardware, we will suppose that each \(CNOT_{ij}\) gate in the circuit has a two qubit depolarizing error channel following it that produces one of the 15 non-identity two-qubit Paulis with equal probability \(p/15\). The probability \(p\) indicates the probability of an error in a single two-qubit gate. We will assess the logical infidelity of certain state preparation protocols as a function of the physical infidelity \(p\).

Checkpoints

Checkpoint 1

Suppose that we wish to prepare a logical two-qubit GHZ state \((|00\rangle_{AB}+|11\rangle_{AB})/\sqrt{2}\) in the [[4,2,2]] code. To do so, we use the following state preparation circuit:

\[ (CNOT_{03}) (H_0) (CNOT_{21}) (H_2). \]

Note that this equation is written in matrix multiplication order, while the quantum operations in the circuit occur in the reverse order (from right-to-left in the above equation). \(H\) is a single-qubit Hadamard gate.

What is the physical state fidelity of the final physical 4-qubit state at the end of the circuit as a function of the two-qubit gate error rate \(p\)?

Assistant #2

Step 1: Understand the given circuit and the task

The given circuit to prepare a logical two-qubit GHZ state is \((CNOT_{03}) (H_0) (CNOT_{21}) (H_2)\). We need to understand that the operations are applied from right to left. The task is to calculate the physical state fidelity of the final 4-qubit state as a function of the two-qubit gate error rate \(p\).

Step 2: Analyze the circuit step by step

First, we apply \(H_2\), then \(CNOT_{21}\), followed by \(H_0\), and finally \(CNOT_{03}\). Let’s start with the initial state \(|0000\rangle\).

Step 3: Apply \(H_2\) to the initial state \(|0000\rangle\)

Applying \(H_2\) to \(|0000\rangle\) gives \(|0\rangle_0|0\rangle_1\frac{1}{\sqrt{2}}(|0\rangle_2+|1\rangle_2)|0\rangle_3 = \frac{1}{\sqrt{2}}(|0000\rangle + |0010\rangle)\).

Step 4: Apply \(CNOT_{21}\)

\(CNOT_{21}\) on \(\frac{1}{\sqrt{2}}(|0000\rangle + |0010\rangle)\) results in \(\frac{1}{\sqrt{2}}(|0000\rangle + |0110\rangle)\).

Step 5: Apply \(H_0\)

Applying \(H_0\) gives \(\frac{1}{2}(|0000\rangle + |1000\rangle + |0110\rangle + |1110\rangle)\).

Step 6: Apply \(CNOT_{03}\)

Finally, applying \(CNOT_{03}\) yields \(\frac{1}{2}(|0000\rangle + |1000\rangle + |0110\rangle + |1111\rangle)\), because \(CNOT_{03}\) flips the third qubit if the zeroth qubit is \(|1\rangle\), resulting in \(|1001\rangle\) being incorrect; the correct application results in \(|0000\rangle\), \(|1000\rangle\), \(|0110\rangle\), and \(|1111\rangle\).

Step 7: Understand the effect of the two-qubit depolarizing error channel

Each \(CNOT\) gate is followed by a two-qubit depolarizing error channel that applies one of the 15 non-identity two-qubit Paulis with probability \(p/15\). We have two \(CNOT\) gates, so we need to consider the error channels for both.

Step 8: Calculate the probability of no error occurring after the \(CNOT\) gates

For each \(CNOT\) gate, the probability of no error is \(1 - p\). Since there are two \(CNOT\) gates, the overall probability of no error is \((1 - p)^2\).

Step 9: Calculate the fidelity of the final state

The fidelity of the final state is the probability that the state is correctly prepared. Errors can occur after each \(CNOT\) gate. The probability that the final state is correct is the probability that no error or an error that does not affect the logical state occurs.

Step 10: Analyze the effect of errors on the logical state

To simplify, we directly calculate the fidelity based on the error model. The state fidelity is related to the probability of having no error or errors that do not corrupt the state.

Step 11: Compute the state fidelity as a function of \(p\)

Given that we have two \(CNOT\) gates, each followed by a depolarizing channel with error probability \(p\), the probability of no error is \((1-p)^2\). However, we need to consider how errors affect the state. The fidelity \(F\) of the final state can be directly related to the probability of successful operation.

Step 12: Derive the expression for the physical state fidelity

The physical state fidelity after applying the circuit with errors is given by the probability of getting the correct state. For a depolarizing error channel following each \(CNOT\), the overall fidelity can be simplified by considering the effect of \(p\) on the circuit.

The final answer is: \(\boxed{(1-p)^2}\)

User #3

Populate your final answer into the code template provided below. This step is purely for formatting/display purposes. No additional reasoning or derivation should be performed. Do not import any modules or packages beyond what is provided in the template.

import sympy as sp

p = sp.symbols('p')

def answer(p):
    r"""
    Return the expression of the physical state fidelity of the final physical 4-qubit state
    at the end of the circuit as a function of the two-qubit gate error rate $p$.

    Inputs
    ----------
    p: sympy.Symbol, two-qubit gate error rate $p$

    Outputs
    ----------
    F_physical: sympy.Expr, the physical state fidelity of the final physical 4-qubit state
    """

    # ------------------ FILL IN YOUR RESULTS BELOW ------------------
    F_physical = ...  # a SymPy expression of inputs
    # ---------------------------------------------------------------

    return F_physical
Assistant #4
import sympy as sp

p = sp.symbols('p')

def answer(p):
    r"""
    Return the expression of the physical state fidelity of the final physical 4-qubit state
    at the end of the circuit as a function of the two-qubit gate error rate $p$.

    Inputs
    ----------
    p: sympy.Symbol, two-qubit gate error rate $p$

    Outputs
    ----------
    F_physical: sympy.Expr, the physical state fidelity of the final physical 4-qubit state
    """

    # ------------------ FILL IN YOUR RESULTS BELOW ------------------
    F_physical = (1-p)**2  # a SymPy expression of inputs
    # ---------------------------------------------------------------

    return F_physical

# Example usage:
print(answer(p))