quantrs2_device/

ibm_device.rs

#[cfg(feature = "ibm")]
use async_trait::async_trait;
#[cfg(feature = "ibm")]
use chrono;
use quantrs2_circuit::prelude::Circuit;
use std::collections::HashMap;
#[cfg(feature = "ibm")]
use std::sync::Arc;
#[cfg(feature = "ibm")]
use std::time::Duration;

#[cfg(feature = "ibm")]
use crate::{
    ibm::IBMQuantumClient, CircuitExecutor, CircuitResult, DeviceError, DeviceResult, QuantumDevice,
};

#[cfg(not(feature = "ibm"))]
use crate::{
    ibm::IBMQuantumClient, CircuitExecutor, CircuitResult, DeviceError, DeviceResult, QuantumDevice,
};

/// Implementation of QuantumDevice and CircuitExecutor for IBM Quantum hardware
#[cfg(feature = "ibm")]
pub struct IBMQuantumDevice {
    /// Internal IBM Quantum client
    client: Arc<IBMQuantumClient>,
    /// Selected backend
    backend: crate::ibm::IBMBackend,
    /// Configuration options
    config: IBMDeviceConfig,
}

#[cfg(not(feature = "ibm"))]
pub struct IBMQuantumDevice;

/// Configuration options for IBM Quantum devices
#[derive(Debug, Clone)]
pub struct IBMDeviceConfig {
    /// Default number of shots if not specified
    pub default_shots: usize,
    /// Optimization level (0-3)
    pub optimization_level: usize,
    /// Default timeout for job completion in seconds
    pub timeout_seconds: u64,
    /// Whether to use qubit routing optimization
    pub optimize_routing: bool,
    /// Maximum number of parallel jobs to submit at once
    pub max_parallel_jobs: usize,
}

#[cfg(feature = "ibm")]
impl Default for IBMDeviceConfig {
    fn default() -> Self {
        Self {
            default_shots: 1024,
            optimization_level: 1,
            timeout_seconds: 300,
            optimize_routing: true,
            max_parallel_jobs: 5,
        }
    }
}

#[cfg(not(feature = "ibm"))]
impl Default for IBMDeviceConfig {
    fn default() -> Self {
        Self {
            default_shots: 1024,
            optimization_level: 1,
            timeout_seconds: 300,
            optimize_routing: true,
            max_parallel_jobs: 5,
        }
    }
}

#[cfg(feature = "ibm")]
impl IBMQuantumDevice {
    /// Create a new IBM Quantum device with the specified backend
    pub async fn new(
        client: IBMQuantumClient,
        backend_name: &str,
        config: Option<IBMDeviceConfig>,
    ) -> DeviceResult<Self> {
        let backend = client.get_backend(backend_name).await?;
        let client = Arc::new(client);

        Ok(Self {
            client,
            backend,
            config: config.unwrap_or_default(),
        })
    }

    /// Create a circuit config for submission
    fn create_circuit_config<const N: usize>(
        &self,
        circuit: &Circuit<N>,
        shots: Option<usize>,
    ) -> DeviceResult<crate::ibm::IBMCircuitConfig> {
        let qasm = self.circuit_to_qasm(circuit)?;
        let shots = shots.unwrap_or(self.config.default_shots);

        Ok(crate::ibm::IBMCircuitConfig {
            name: format!("quantrs_circuit_{}", chrono::Utc::now().timestamp()),
            qasm,
            shots,
            optimization_level: Some(self.config.optimization_level),
            initial_layout: None, // Could be optimized in future
        })
    }

    /// Convert a Quantrs circuit to QASM for IBM Quantum
    fn circuit_to_qasm<const N: usize>(&self, _circuit: &Circuit<N>) -> DeviceResult<String> {
        if N > self.backend.n_qubits {
            return Err(DeviceError::CircuitConversion(format!(
                "Circuit has {} qubits but backend {} only supports {} qubits",
                N, self.backend.name, self.backend.n_qubits
            )));
        }

        // Start QASM generation
        let mut qasm = String::from("OPENQASM 2.0;\ninclude \"qelib1.inc\";\n\n");

        // Define the quantum and classical registers
        use std::fmt::Write;
        let _ = writeln!(qasm, "qreg q[{N}];");
        let _ = writeln!(qasm, "creg c[{N}];");

        // Process each gate in the circuit
        // This is a simplified placeholder implementation
        // In a real implementation, you would traverse the circuit gates and convert each to QASM

        Ok(qasm)
    }
}

#[cfg(not(feature = "ibm"))]
impl IBMQuantumDevice {
    /// Create a new IBM Quantum device with the specified backend
    pub async fn new(
        _client: IBMQuantumClient,
        _backend_name: &str,
        _config: Option<IBMDeviceConfig>,
    ) -> DeviceResult<Self> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled. Recompile with the 'ibm' feature.".to_string(),
        ))
    }
}

#[cfg(feature = "ibm")]
#[async_trait]
impl QuantumDevice for IBMQuantumDevice {
    async fn is_available(&self) -> DeviceResult<bool> {
        // Check the backend status
        let backend = self.client.get_backend(&self.backend.name).await?;
        Ok(backend.status == "active")
    }

    async fn qubit_count(&self) -> DeviceResult<usize> {
        Ok(self.backend.n_qubits)
    }

    async fn properties(&self) -> DeviceResult<HashMap<String, String>> {
        // In a complete implementation, this would fetch detailed properties
        // from the IBM Quantum API
        let mut props = HashMap::new();
        props.insert("name".to_string(), self.backend.name.clone());
        props.insert("description".to_string(), self.backend.description.clone());
        props.insert("version".to_string(), self.backend.version.clone());
        props.insert("n_qubits".to_string(), self.backend.n_qubits.to_string());
        props.insert("simulator".to_string(), self.backend.simulator.to_string());

        Ok(props)
    }

    async fn is_simulator(&self) -> DeviceResult<bool> {
        Ok(self.backend.simulator)
    }
}

#[cfg(not(feature = "ibm"))]
impl QuantumDevice for IBMQuantumDevice {
    fn is_available(&self) -> DeviceResult<bool> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn qubit_count(&self) -> DeviceResult<usize> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn properties(&self) -> DeviceResult<HashMap<String, String>> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn is_simulator(&self) -> DeviceResult<bool> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }
}

#[cfg(feature = "ibm")]
#[async_trait]
impl CircuitExecutor for IBMQuantumDevice {
    async fn execute_circuit<const N: usize>(
        &self,
        circuit: &Circuit<N>,
        shots: usize,
    ) -> DeviceResult<CircuitResult> {
        // Create circuit config
        let config = self.create_circuit_config(circuit, Some(shots))?;

        // Submit the circuit
        let job_id = self
            .client
            .submit_circuit(&self.backend.name, config)
            .await?;

        // Wait for the job to complete
        let result = self
            .client
            .wait_for_job(&job_id, Some(self.config.timeout_seconds))
            .await?;

        // Convert to CircuitResult
        let mut metadata = HashMap::new();
        metadata.insert("job_id".to_string(), job_id);
        metadata.insert("backend".to_string(), self.backend.name.clone());
        metadata.insert("shots".to_string(), shots.to_string());

        Ok(CircuitResult {
            counts: result.counts,
            shots: result.shots,
            metadata,
        })
    }

    async fn execute_circuits<const N: usize>(
        &self,
        circuits: Vec<&Circuit<N>>,
        shots: usize,
    ) -> DeviceResult<Vec<CircuitResult>> {
        if circuits.is_empty() {
            return Ok(Vec::new());
        }

        // Limit the number of parallel jobs based on config
        let chunk_size = self.config.max_parallel_jobs.max(1);
        let mut results = Vec::new();

        // Process circuits in chunks to avoid overloading the API
        for chunk in circuits.chunks(chunk_size) {
            let mut configs = Vec::new();

            // Create configs for each circuit in this chunk
            for circuit in chunk {
                let config = self.create_circuit_config(circuit, Some(shots))?;
                configs.push(config);
            }

            // Submit the batch of circuits
            let job_ids = self
                .client
                .submit_circuits_parallel(&self.backend.name, configs)
                .await?;

            // Wait for all jobs to complete
            let mut chunk_results = Vec::new();
            for job_id in job_ids {
                let result = self
                    .client
                    .wait_for_job(&job_id, Some(self.config.timeout_seconds))
                    .await?;

                let mut metadata = HashMap::new();
                metadata.insert("job_id".to_string(), job_id);
                metadata.insert("backend".to_string(), self.backend.name.clone());
                metadata.insert("shots".to_string(), shots.to_string());

                chunk_results.push(CircuitResult {
                    counts: result.counts,
                    shots: result.shots,
                    metadata,
                });
            }

            results.extend(chunk_results);
        }

        Ok(results)
    }

    async fn can_execute_circuit<const N: usize>(
        &self,
        _circuit: &Circuit<N>,
    ) -> DeviceResult<bool> {
        // Basic check: does the circuit fit on the device?
        if N > self.backend.n_qubits {
            return Ok(false);
        }

        // In a more sophisticated implementation, this would check:
        // - If all gates in the circuit are supported by the backend
        // - If the circuit depth is within backend limits
        // - If the connectivity requirements are satisfied

        // For now, just do a basic qubit count check
        Ok(true)
    }

    async fn estimated_queue_time<const N: usize>(
        &self,
        _circuit: &Circuit<N>,
    ) -> DeviceResult<Duration> {
        // In a complete implementation, this would query the IBM Quantum API
        // for the current queue times or use a heuristic based on backend popularity

        // For now, return a placeholder estimate
        if self.backend.simulator {
            Ok(Duration::from_secs(10)) // Simulators typically have short queues
        } else {
            Ok(Duration::from_secs(3600)) // Hardware often has longer queues
        }
    }
}

#[cfg(not(feature = "ibm"))]
impl CircuitExecutor for IBMQuantumDevice {
    fn execute_circuit<const N: usize>(
        &self,
        _circuit: &Circuit<N>,
        _shots: usize,
    ) -> DeviceResult<CircuitResult> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn execute_circuits<const N: usize>(
        &self,
        _circuits: Vec<&Circuit<N>>,
        _shots: usize,
    ) -> DeviceResult<Vec<CircuitResult>> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn can_execute_circuit<const N: usize>(&self, _circuit: &Circuit<N>) -> DeviceResult<bool> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }

    fn estimated_queue_time<const N: usize>(
        &self,
        _circuit: &Circuit<N>,
    ) -> DeviceResult<std::time::Duration> {
        Err(DeviceError::UnsupportedDevice(
            "IBM Quantum support not enabled".to_string(),
        ))
    }
}