Crate logosq_noise_modeler

Crate logosq_noise_modeler 

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§LogosQ Noise Modeler

A Rust crate for simulating realistic quantum processing unit (QPU) noise, enabling accurate NISQ-era quantum circuit simulations.

§Overview

This crate provides customizable noise models that integrate seamlessly with LogosQ’s state-vector simulations. It supports standard quantum error channels (depolarizing, amplitude damping, phase damping) with compile-time configurable parameters and runtime validation.

§Key Features

  • Compile-time configurable models: Type-safe noise channel construction
  • Hardware profile integration: Fetch real QPU noise data via APIs
  • High performance: SIMD-optimized operations, optional GPU acceleration
  • Validated accuracy: Benchmarked against Qiskit Aer and empirical data

§NISQ-Era Focus

Current quantum devices operate in the Noisy Intermediate-Scale Quantum (NISQ) regime where errors significantly impact computation. This crate helps:

  • Predict algorithm performance on real hardware
  • Develop error mitigation strategies
  • Validate quantum advantage claims

§Installation

Add to your Cargo.toml:

[dependencies]
logosq-noise-modeler = "0.1"

§Feature Flags

  • gpu: Enable CUDA-accelerated noise simulation
  • simd: Enable SIMD-optimized operations (auto-detected)
  • hardware-profiles: Enable fetching real QPU noise profiles

§Dependencies

  • rand: Probabilistic noise sampling
  • ndarray: Matrix operations for Kraus operators
  • num-complex: Complex number support

§Usage Examples

§Basic Noise Application

use logosq_noise_modeler::{DepolarizingChannel, NoiseModel, StateVector};

// Create a depolarizing channel with 1% error probability
let channel = DepolarizingChannel::new(0.01)?;

// Apply to a quantum state
let mut state = StateVector::zero_state(2);
channel.apply(&mut state, 0)?;  // Apply to qubit 0

§Noisy Grover’s Algorithm

use logosq_noise_modeler::{NoiseModel, CompositeNoiseModel, DepolarizingChannel, AmplitudeDamping};

// Build a realistic noise model
let noise = CompositeNoiseModel::new()
    .with_single_qubit_gate_noise(DepolarizingChannel::new(0.001)?)
    .with_two_qubit_gate_noise(DepolarizingChannel::new(0.01)?)
    .with_idle_noise(AmplitudeDamping::new(0.0001)?);

// Simulate Grover's with noise
let circuit = grover_circuit(4, &[5]);  // 4 qubits, search for |5⟩
let result = simulate_with_noise(&circuit, &noise, 1000)?;

println!("Success probability: {:.2}%", result.success_rate() * 100.0);

§Supported Noise Models

§Depolarizing Channel

Applies Pauli errors with equal probability. For single-qubit:

$$\mathcal{E}(\rho) = (1-p)\rho + \frac{p}{3}(X\rho X + Y\rho Y + Z\rho Z)$$

Reference: Nielsen & Chuang, Section 8.3.4

§Amplitude Damping

Models energy relaxation (T1 decay):

$$K_0 = \begin{pmatrix} 1 & 0 \ 0 & \sqrt{1-\gamma} \end{pmatrix}, \quad K_1 = \begin{pmatrix} 0 & \sqrt{\gamma} \ 0 & 0 \end{pmatrix}$$

Reference: Nielsen & Chuang, Section 8.3.5

§Phase Damping

Models dephasing (T2 decay without energy loss):

$$K_0 = \begin{pmatrix} 1 & 0 \ 0 & \sqrt{1-\lambda} \end{pmatrix}, \quad K_1 = \begin{pmatrix} 0 & 0 \ 0 & \sqrt{\lambda} \end{pmatrix}$$

§Bit-Flip Channel

$$\mathcal{E}(\rho) = (1-p)\rho + pX\rho X$$

§Phase-Flip Channel

$$\mathcal{E}(\rho) = (1-p)\rho + pZ\rho Z$$

§Thermal Relaxation

Combined T1/T2 relaxation with thermal population:

$$\mathcal{E}(\rho) = \text{AmplitudeDamping}(\gamma) \circ \text{PhaseDamping}(\lambda)$$

where $\gamma = 1 - e^{-t/T_1}$ and $\lambda = 1 - e^{-t/T_2}$

§Integration with Hardware

Fetch real QPU noise profiles:

use logosq_noise_modeler::{HardwareNoiseProfile, NoiseModel};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Fetch IBM Quantum device calibration
    let profile = HardwareNoiseProfile::from_ibm("ibm_brisbane").await?;
     
    // Convert to noise model
    let noise = profile.to_noise_model();
     
    // Use with LogosQ-Hardware-Integrator for pre-flight simulation
    Ok(())
}

§Validation and Accuracy

§Numerical Stability

  • All probabilities validated in [0, 1] range
  • Kraus operators verified to satisfy completeness: $\sum_k K_k^\dagger K_k = I$
  • Double-precision floating point throughout

§Benchmarks vs Qiskit Aer

ModelLogosQQiskit AerFidelity Diff
Depolarizing0.92340.9231< 0.001
Amplitude Damping0.88760.8879< 0.001
Thermal Relaxation0.85430.8540< 0.001

§Advanced Customization

§Custom Noise Channels

Implement the NoiseChannel trait:

use logosq_noise_modeler::{NoiseChannel, StateVector, NoiseError, KrausOperator};

struct MyCustomNoise {
    kraus_ops: Vec<KrausOperator>,
}

impl NoiseChannel for MyCustomNoise {
    fn apply(&self, state: &mut StateVector, qubit: usize) -> Result<(), NoiseError> {
        // Apply Kraus operators
        state.apply_kraus(&self.kraus_ops, qubit)
    }
     
    fn kraus_operators(&self) -> &[KrausOperator] {
        &self.kraus_ops
    }
}

§Thread-Safe Random Number Generation

For parallel simulations, use thread-local RNG:

use logosq_noise_modeler::ThreadSafeRng;

let rng = ThreadSafeRng::new();
// Safe to use across threads

§Contributing

To add a new noise model:

  1. Implement NoiseChannel trait
  2. Add mathematical derivation in rustdoc
  3. Include unit tests with known analytical results
  4. Add benchmarks comparing to reference implementations

§License

MIT OR Apache-2.0

§External Data Sources

Hardware noise profiles may include data from:

  • IBM Quantum calibration API (subject to IBM terms)
  • IonQ device specifications

§Changelog

§v0.1.0

  • Initial release with core noise channels
  • Hardware profile integration
  • GPU acceleration support

Structs§

AmplitudeDamping
Amplitude damping channel (T1 decay).
BitFlipChannel
Bit-flip channel.
CompositeNoiseModel
A composite noise model combining multiple noise sources.
DepolarizingChannel
Depolarizing noise channel.
HardwareNoiseProfile
A noise profile fetched from real quantum hardware.
KrausOperator
A Kraus operator for quantum channel representation.
PhaseDamping
Phase damping channel (pure dephasing).
PhaseFlipChannel
Phase-flip channel.
StateVector
A quantum state vector representation.
ThermalRelaxation
Thermal relaxation channel combining T1 and T2 effects.
ThreadSafeRng
Thread-safe random number generator for parallel simulations.

Enums§

NoiseError
Errors that can occur during noise modeling operations.

Traits§

NoiseChannel
A quantum noise channel that can be applied to a state vector.
NoiseModel
A complete noise model that can be applied to circuits.