Struct CircuitToTensorNetwork 

pub struct CircuitToTensorNetwork<const N: usize> { /* private fields */ }

Convert a quantum circuit to tensor network representation

Implementations

impl<const N: usize> CircuitToTensorNetwork<N>

pub fn new() -> Self

Create a new converter

Examples found in repository

examples/tensor_network_demo.rs (line 227)

fn demo_tensor_contraction() -> quantrs2_core::error::QuantRS2Result<()> {
    println!("--- Tensor Contraction Optimization ---");

    // Create a circuit with specific structure
    let mut circuit = Circuit::<4>::new();

    // Layer 1: Single-qubit gates
    for i in 0..4 {
        circuit.add_gate(Hadamard { target: QubitId(i) })?;
    }

    // Layer 2: Entangling gates
    circuit.add_gate(CNOT {
        control: QubitId(0),
        target: QubitId(1),
    })?;
    circuit.add_gate(CNOT {
        control: QubitId(2),
        target: QubitId(3),
    })?;

    // Layer 3: Cross entangling
    circuit.add_gate(CNOT {
        control: QubitId(1),
        target: QubitId(2),
    })?;

    // Convert to tensor network
    let converter = CircuitToTensorNetwork::<4>::new()
        .with_max_bond_dim(8)
        .with_tolerance(1e-12);

    let tn = converter.convert(&circuit)?;

    println!("Converted circuit to tensor network");
    println!("Network has {} tensors", circuit.num_gates());

    // Contract the network
    let result = tn.contract_all()?;
    println!("Contracted to single tensor of rank {}", result.rank());

    println!();
    Ok(())
}

pub fn with_max_bond_dim(self, dim: usize) -> Self

Set maximum bond dimension

Examples found in repository

examples/tensor_network_demo.rs (line 228)

fn demo_tensor_contraction() -> quantrs2_core::error::QuantRS2Result<()> {
    println!("--- Tensor Contraction Optimization ---");

    // Create a circuit with specific structure
    let mut circuit = Circuit::<4>::new();

    // Layer 1: Single-qubit gates
    for i in 0..4 {
        circuit.add_gate(Hadamard { target: QubitId(i) })?;
    }

    // Layer 2: Entangling gates
    circuit.add_gate(CNOT {
        control: QubitId(0),
        target: QubitId(1),
    })?;
    circuit.add_gate(CNOT {
        control: QubitId(2),
        target: QubitId(3),
    })?;

    // Layer 3: Cross entangling
    circuit.add_gate(CNOT {
        control: QubitId(1),
        target: QubitId(2),
    })?;

    // Convert to tensor network
    let converter = CircuitToTensorNetwork::<4>::new()
        .with_max_bond_dim(8)
        .with_tolerance(1e-12);

    let tn = converter.convert(&circuit)?;

    println!("Converted circuit to tensor network");
    println!("Network has {} tensors", circuit.num_gates());

    // Contract the network
    let result = tn.contract_all()?;
    println!("Contracted to single tensor of rank {}", result.rank());

    println!();
    Ok(())
}

pub fn with_tolerance(self, tol: f64) -> Self

Set truncation tolerance

Examples found in repository

examples/tensor_network_demo.rs (line 229)

fn demo_tensor_contraction() -> quantrs2_core::error::QuantRS2Result<()> {
    println!("--- Tensor Contraction Optimization ---");

    // Create a circuit with specific structure
    let mut circuit = Circuit::<4>::new();

    // Layer 1: Single-qubit gates
    for i in 0..4 {
        circuit.add_gate(Hadamard { target: QubitId(i) })?;
    }

    // Layer 2: Entangling gates
    circuit.add_gate(CNOT {
        control: QubitId(0),
        target: QubitId(1),
    })?;
    circuit.add_gate(CNOT {
        control: QubitId(2),
        target: QubitId(3),
    })?;

    // Layer 3: Cross entangling
    circuit.add_gate(CNOT {
        control: QubitId(1),
        target: QubitId(2),
    })?;

    // Convert to tensor network
    let converter = CircuitToTensorNetwork::<4>::new()
        .with_max_bond_dim(8)
        .with_tolerance(1e-12);

    let tn = converter.convert(&circuit)?;

    println!("Converted circuit to tensor network");
    println!("Network has {} tensors", circuit.num_gates());

    // Contract the network
    let result = tn.contract_all()?;
    println!("Contracted to single tensor of rank {}", result.rank());

    println!();
    Ok(())
}

pub fn convert(&self, circuit: &Circuit<N>) -> QuantRS2Result<TensorNetwork>

Convert circuit to tensor network

Examples found in repository

examples/tensor_network_demo.rs (line 231)

fn demo_tensor_contraction() -> quantrs2_core::error::QuantRS2Result<()> {
    println!("--- Tensor Contraction Optimization ---");

    // Create a circuit with specific structure
    let mut circuit = Circuit::<4>::new();

    // Layer 1: Single-qubit gates
    for i in 0..4 {
        circuit.add_gate(Hadamard { target: QubitId(i) })?;
    }

    // Layer 2: Entangling gates
    circuit.add_gate(CNOT {
        control: QubitId(0),
        target: QubitId(1),
    })?;
    circuit.add_gate(CNOT {
        control: QubitId(2),
        target: QubitId(3),
    })?;

    // Layer 3: Cross entangling
    circuit.add_gate(CNOT {
        control: QubitId(1),
        target: QubitId(2),
    })?;

    // Convert to tensor network
    let converter = CircuitToTensorNetwork::<4>::new()
        .with_max_bond_dim(8)
        .with_tolerance(1e-12);

    let tn = converter.convert(&circuit)?;

    println!("Converted circuit to tensor network");
    println!("Network has {} tensors", circuit.num_gates());

    // Contract the network
    let result = tn.contract_all()?;
    println!("Contracted to single tensor of rank {}", result.rank());

    println!();
    Ok(())
}