quantrs2-ml 0.1.3

Quantum Machine Learning module for QuantRS2
Documentation
//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use crate::error::{MLError, Result};
use crate::simulator_backends::{DynamicCircuit, Observable, SimulationResult, SimulatorBackend};
use quantrs2_circuit::prelude::*;
use quantrs2_core::prelude::*;
use scirs2_core::ndarray::{s, Array1, Array2, Array3, Array4, ArrayD, Axis};
use std::collections::HashMap;

use super::types::{DataEncodingType, TFQCircuitFormat, TFQGate};

/// TensorFlow Quantum layer trait
pub trait TFQLayer: Send + Sync {
    /// Forward pass
    fn forward(&self, inputs: &ArrayD<f64>) -> Result<ArrayD<f64>>;
    /// Backward pass
    fn backward(&self, upstream_gradients: &ArrayD<f64>) -> Result<ArrayD<f64>>;
    /// Get trainable parameters
    fn get_parameters(&self) -> Vec<Array1<f64>>;
    /// Set trainable parameters
    fn set_parameters(&mut self, params: Vec<Array1<f64>>) -> Result<()>;
    /// Layer name
    fn name(&self) -> &str;
}
/// TensorFlow Quantum-style utilities
pub mod tfq_utils {
    use super::*;
    /// Convert QuantRS2 circuit to TFQ-compatible format
    pub fn circuit_to_tfq_format(circuit: &DynamicCircuit) -> Result<TFQCircuitFormat> {
        let tfq_gates: Vec<TFQGate> = Vec::new();
        Ok(TFQCircuitFormat {
            gates: tfq_gates,
            num_qubits: circuit.num_qubits(),
        })
    }
    /// Create quantum data encoding circuit
    pub fn create_data_encoding_circuit(
        num_qubits: usize,
        encoding_type: DataEncodingType,
    ) -> Result<DynamicCircuit> {
        let mut builder: Circuit<8> = CircuitBuilder::new();
        match encoding_type {
            DataEncodingType::Amplitude => {
                for qubit in 0..num_qubits {
                    builder.ry(qubit, 0.0)?;
                }
            }
            DataEncodingType::Angle => {
                for qubit in 0..num_qubits {
                    builder.rz(qubit, 0.0)?;
                }
            }
            DataEncodingType::Basis => {
                for qubit in 0..num_qubits {
                    builder.x(qubit)?;
                }
            }
        }
        let circuit = builder.build();
        DynamicCircuit::from_circuit(circuit)
    }
    /// Create hardware-efficient ansatz
    pub fn create_hardware_efficient_ansatz(
        num_qubits: usize,
        layers: usize,
    ) -> Result<DynamicCircuit> {
        let mut builder: Circuit<8> = CircuitBuilder::new();
        for layer in 0..layers {
            for qubit in 0..num_qubits {
                builder.ry(qubit, 0.0)?;
                builder.rz(qubit, 0.0)?;
            }
            for qubit in 0..num_qubits - 1 {
                builder.cnot(qubit, qubit + 1)?;
            }
            if layer < layers - 1 && num_qubits > 2 {
                builder.cnot(num_qubits - 1, 0)?;
            }
        }
        let circuit = builder.build();
        DynamicCircuit::from_circuit(circuit)
    }
    /// Batch quantum circuit execution
    pub fn batch_execute_circuits(
        circuits: &[DynamicCircuit],
        parameters: &Array2<f64>,
        observables: &[Observable],
        backend: &dyn SimulatorBackend,
    ) -> Result<Array2<f64>> {
        let batch_size = circuits.len();
        let num_observables = observables.len();
        let mut results = Array2::zeros((batch_size, num_observables));
        for (circuit_idx, circuit) in circuits.iter().enumerate() {
            let params = parameters.row(circuit_idx % parameters.nrows());
            let params_slice = params.as_slice().ok_or_else(|| {
                MLError::InvalidConfiguration("Parameters must be contiguous in memory".to_string())
            })?;
            for (obs_idx, observable) in observables.iter().enumerate() {
                let expectation = backend.expectation_value(circuit, params_slice, observable)?;
                results[[circuit_idx, obs_idx]] = expectation;
            }
        }
        Ok(results)
    }
}
/// Differentiator trait for computing gradients of quantum circuits
pub trait Differentiator: Send + Sync {
    /// Compute gradients of expectation values with respect to parameters
    fn differentiate(
        &self,
        circuit: &DynamicCircuit,
        parameters: &[f64],
        observable: &Observable,
        backend: &dyn SimulatorBackend,
    ) -> Result<Vec<f64>>;
    /// Get the name of the differentiator
    fn name(&self) -> &str;
}
/// Resolve symbols in a parameterized circuit
///
/// This creates a new DynamicCircuit with the symbol values bound.
/// In TFQ, this is used to convert parameterized circuits to concrete circuits.
pub fn resolve_symbols(
    circuit: &DynamicCircuit,
    symbols: &[String],
    values: &[f64],
) -> Result<DynamicCircuit> {
    if symbols.len() != values.len() {
        return Err(MLError::InvalidConfiguration(
            "Number of symbols must match number of values".to_string(),
        ));
    }
    let mut _symbol_map = HashMap::new();
    for (sym, &val) in symbols.iter().zip(values.iter()) {
        _symbol_map.insert(sym.clone(), val);
    }
    Ok(circuit.clone())
}
/// Convert tensor to circuits (TFQ-compatible utility)
pub fn tensor_to_circuits(tensor: &Array1<String>) -> Result<Vec<DynamicCircuit>> {
    tensor
        .iter()
        .map(|_| DynamicCircuit::from_circuit::<8>(Circuit::<8>::new()))
        .collect()
}
/// Convert circuits to tensor (TFQ-compatible utility)
pub fn circuits_to_tensor(circuits: &[DynamicCircuit]) -> Array1<String> {
    Array1::from_vec(
        circuits
            .iter()
            .map(|c| format!("circuit_{}_qubits", c.num_qubits()))
            .collect(),
    )
}
/// Cirq circuit converter module
///
/// Provides conversion from Cirq-style circuit representations to QuantRS2 circuits.
/// Since Cirq is a Python library, this module provides Rust data structures that
/// represent Cirq circuits and can be converted to QuantRS2 circuits.
pub mod cirq_converter {
    use super::*;
    use quantrs2_circuit::prelude::*;
    use std::collections::HashMap;
    /// Cirq gate types
    #[derive(Debug, Clone)]
    pub enum CirqGate {
        /// Pauli X gate
        X { qubit: usize },
        /// Pauli Y gate
        Y { qubit: usize },
        /// Pauli Z gate
        Z { qubit: usize },
        /// Hadamard gate
        H { qubit: usize },
        /// S gate (√Z)
        S { qubit: usize },
        /// T gate (√S)
        T { qubit: usize },
        /// CNOT gate
        CNOT { control: usize, target: usize },
        /// CZ gate
        CZ { control: usize, target: usize },
        /// SWAP gate
        SWAP { qubit1: usize, qubit2: usize },
        /// Rotation around X axis
        Rx { qubit: usize, angle: f64 },
        /// Rotation around Y axis
        Ry { qubit: usize, angle: f64 },
        /// Rotation around Z axis
        Rz { qubit: usize, angle: f64 },
        /// Arbitrary single-qubit rotation (U3)
        U3 {
            qubit: usize,
            theta: f64,
            phi: f64,
            lambda: f64,
        },
        /// Parametric X rotation
        XPowGate {
            qubit: usize,
            exponent: f64,
            global_shift: f64,
        },
        /// Parametric Y rotation
        YPowGate {
            qubit: usize,
            exponent: f64,
            global_shift: f64,
        },
        /// Parametric Z rotation
        ZPowGate {
            qubit: usize,
            exponent: f64,
            global_shift: f64,
        },
        /// Measurement
        Measure { qubits: Vec<usize> },
    }
    /// Cirq circuit representation
    #[derive(Debug, Clone)]
    pub struct CirqCircuit {
        /// Number of qubits
        pub num_qubits: usize,
        /// Gates in the circuit
        pub gates: Vec<CirqGate>,
        /// Parameter symbols used in the circuit
        pub param_symbols: HashMap<String, usize>,
    }
    impl CirqCircuit {
        /// Create a new Cirq circuit
        pub fn new(num_qubits: usize) -> Self {
            Self {
                num_qubits,
                gates: Vec::new(),
                param_symbols: HashMap::new(),
            }
        }
        /// Add a gate to the circuit
        pub fn add_gate(&mut self, gate: CirqGate) {
            self.gates.push(gate);
        }
        /// Add a parameter symbol
        pub fn add_param_symbol(&mut self, symbol: String, index: usize) {
            self.param_symbols.insert(symbol, index);
        }
        /// Convert to QuantRS2 circuit (const generic version)
        pub fn to_quantrs2_circuit<const N: usize>(&self) -> Result<Circuit<N>> {
            if self.num_qubits != N {
                return Err(MLError::ValidationError(format!(
                    "Circuit has {} qubits but expected {}",
                    self.num_qubits, N
                )));
            }
            let mut builder = CircuitBuilder::new();
            for gate in &self.gates {
                match gate {
                    CirqGate::X { qubit } => {
                        builder.x(*qubit)?;
                    }
                    CirqGate::Y { qubit } => {
                        builder.y(*qubit)?;
                    }
                    CirqGate::Z { qubit } => {
                        builder.z(*qubit)?;
                    }
                    CirqGate::H { qubit } => {
                        builder.h(*qubit)?;
                    }
                    CirqGate::S { qubit } => {
                        builder.s(*qubit)?;
                    }
                    CirqGate::T { qubit } => {
                        builder.t(*qubit)?;
                    }
                    CirqGate::CNOT { control, target } => {
                        builder.cnot(*control, *target)?;
                    }
                    CirqGate::CZ { control, target } => {
                        builder.cz(*control, *target)?;
                    }
                    CirqGate::SWAP { qubit1, qubit2 } => {
                        builder.swap(*qubit1, *qubit2)?;
                    }
                    CirqGate::Rx { qubit, angle } => {
                        builder.rx(*qubit, *angle)?;
                    }
                    CirqGate::Ry { qubit, angle } => {
                        builder.ry(*qubit, *angle)?;
                    }
                    CirqGate::Rz { qubit, angle } => {
                        builder.rz(*qubit, *angle)?;
                    }
                    CirqGate::U3 {
                        qubit,
                        theta,
                        phi,
                        lambda,
                    } => {
                        builder.u(*qubit, *theta, *phi, *lambda)?;
                    }
                    CirqGate::XPowGate {
                        qubit,
                        exponent,
                        global_shift,
                    } => {
                        let angle = std::f64::consts::PI * exponent;
                        builder.rx(*qubit, angle)?;
                        let _ = global_shift;
                    }
                    CirqGate::YPowGate {
                        qubit,
                        exponent,
                        global_shift,
                    } => {
                        let angle = std::f64::consts::PI * exponent;
                        builder.ry(*qubit, angle)?;
                        let _ = global_shift;
                    }
                    CirqGate::ZPowGate {
                        qubit,
                        exponent,
                        global_shift,
                    } => {
                        let angle = std::f64::consts::PI * exponent;
                        builder.rz(*qubit, angle)?;
                        let _ = global_shift;
                    }
                    CirqGate::Measure { qubits: _ } => {}
                }
            }
            Ok(builder.build())
        }
        /// Convert to dynamic circuit (runtime qubit count)
        pub fn to_dynamic_circuit(&self) -> Result<DynamicCircuit> {
            match self.num_qubits {
                1 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<1>()?),
                2 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<2>()?),
                3 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<3>()?),
                4 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<4>()?),
                5 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<5>()?),
                6 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<6>()?),
                7 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<7>()?),
                8 => DynamicCircuit::from_circuit(self.to_quantrs2_circuit::<8>()?),
                n => Err(MLError::ValidationError(format!(
                    "Unsupported qubit count: {}. Supported: 1-8",
                    n
                ))),
            }
        }
    }
    /// Create a Bell state circuit (Cirq-style)
    pub fn create_bell_circuit() -> CirqCircuit {
        let mut circuit = CirqCircuit::new(2);
        circuit.add_gate(CirqGate::H { qubit: 0 });
        circuit.add_gate(CirqGate::CNOT {
            control: 0,
            target: 1,
        });
        circuit
    }
    /// Create a parametric circuit (Cirq-style)
    pub fn create_parametric_circuit(num_qubits: usize, depth: usize) -> CirqCircuit {
        let mut circuit = CirqCircuit::new(num_qubits);
        for layer in 0..depth {
            for qubit in 0..num_qubits {
                let symbol = format!("theta_{}_{}", layer, qubit);
                circuit.add_param_symbol(symbol.clone(), layer * num_qubits + qubit);
                circuit.add_gate(CirqGate::Ry { qubit, angle: 0.5 });
            }
            for qubit in 0..num_qubits - 1 {
                circuit.add_gate(CirqGate::CNOT {
                    control: qubit,
                    target: qubit + 1,
                });
            }
        }
        circuit
    }
    /// Convert Cirq PowGate to angle (helper)
    pub fn pow_gate_to_angle(exponent: f64) -> f64 {
        std::f64::consts::PI * exponent
    }
}