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☁️ AWS Braket

Multi-vendor quantum computing as a service

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Google Quantum AI

☁️ Quantum Computing Meets AWS Cloud

AWS Braket (launched 2020) provides unified access to quantum hardware from multiple vendors—IonQ, Rigetti, OQC, QuEra, and classical simulators. Unlike platform-specific services (IBM Quantum, Google Quantum AI), Braket offers vendor-neutral quantum computing integrated with AWS infrastructure: S3 storage, Lambda functions, SageMaker ML, CloudWatch monitoring.

💡 The Braket Advantage

Multi-vendor access: Compare different quantum technologies (trapped ion vs superconducting) without learning separate platforms. Cloud integration: Quantum jobs trigger AWS services—results stored in S3, analyzed with SageMaker, visualized in QuickSight. Pay-per-use pricing with no upfront hardware investment.

Hardware:
4+ vendors available
Simulators:
34-qubit state vector
Pricing:
$0.25-$0.97 per task

🎯 What You'll Learn

🔧
Hardware Options
IonQ, Rigetti, OQC access
⚙️
Braket SDK
Python quantum programming
🔄
Hybrid Algorithms
Cloud-integrated workflows
💰
Cost Management
Budget optimization strategies

🏗️ Braket Architecture

Quantum Hardware LayerMulti-vendor

IonQ (trapped ion), Rigetti (superconducting), OQC (superconducting), QuEra (neutral atom)—unified API abstracts hardware differences.

Braket SDKPython library

Circuit construction, device selection, job submission—consistent interface across all quantum hardware providers.

AWS IntegrationCloud services

S3 (results storage), Lambda (triggers), SageMaker (hybrid ML), CloudWatch (monitoring), IAM (access control).

🔬 Use Cases

Quantum chemistry (molecular simulation with VQE), optimization (QAOA for logistics/finance), machine learning (quantum kernels, QNNs), cryptography (quantum random number generation). Braket Hybrid Jobs enable iterative algorithms where classical optimization loops call quantum circuits—ideal for NISQ-era applications.