AWS Braket vs Azure Quantum

AWS Braket vs Azure Quantum in 2024

In 2024, AWS Braket and Azure Quantum continue to be two of the top cloud platforms for quantum computing. As quantum computing moves closer to having practical applications, more companies are evaluating quantum cloud services to determine which platform best meets their needs.

Overview of AWS Braket

AWS Braket is Amazon Web Services’ fully managed quantum computing service. First launched in 2019, Braket has expanded substantially over the past 5 years.

Some key things to know about Braket in 2024:

  • Access to quantum hardware from providers like IonQ, Rigetti, and D-Wave
  • Ability to test algorithms and build models using Amazon Braket SDK
  • Range of development tools like the Amazon Braket Jupyter notebook environment
  • Hybrid quantum classical workflows to combine quantum and classical computing
  • Amazon Braket Quantum Tasks for scheduling quantum jobs

In 2024, Braket offers expanded hardware access, additional simulators and emulators, and more ways to integrate with other AWS services.

Benefits and drawbacks of AWS Braket

Some potential benefits of using Braket in 2024 include:

  • Simple, fast way to get started with quantum computing
  • No need to invest in own quantum infrastructure
  • Access to leading quantum hardware and simulators
  • Tight integration with other AWS cloud services

However, there are some possible downsides:

  • Hardware access costs can accumulate quickly
  • Currently limited to set inventory of quantum systems
  • Less flexibility to customize quantum hardware

Overview of Azure Quantum

Released in 2020, Microsoft Azure Quantum provides another robust set of quantum development tools and computing access.

Here’s an overview of Azure Quantum in 2024:

  • Hardware access via partners like IonQ and Honeywell
  • Azure Quantum simulators for testing algorithms
  • Q# programming language and SDK for quantum app development
  • Integration with other Azure services via Azure Quantum Workbench
  • Visual workflow composer to model hybrid quantum-classical solutions

Since its launch, Azure Quantum added more hardware partners, simulation capabilities, and workflow automation features.

Benefits and drawbacks of Azure Quantum

When evaluating Azure Quantum, some potential advantages are:

  • Ability to program in common languages like C# and Python
  • Rich set of simulators and emulators
  • Tight integration with other Microsoft and Azure products
  • Flexibility to add modules and customize environment
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However, there are also some possible disadvantages:

  • Access costs can be high, especially for enterprise use cases
  • Currently offers less variety of quantum hardware partners
  • Steeper learning curve than Braket for those new to quantum

Hardware Partner Access

One area where AWS Braket and Azure Quantum differ is their roster of hardware providers available on the platform.

AWS Braket hardware partners

AWS Braket provides in-network access to quantum systems from:

  • IonQ: Trapped ion quantum computers
  • Rigetti: Superconducting quantum processors
  • D-Wave: Quantum annealing systems

These partnerships give Braket users access to over 30 qubits for quantum circuits today.

Azure Quantum hardware partners

On Azure Quantum, users can access quantum hardware from:

While fewer hardware partners overall, Honeywell systems on Azure Quantum offer 10+ fully connected qubits available. As hardware continues advancing rapidly, both platforms will expand access and capabilities in 2024 and beyond.

Programming Languages and Tools

When evaluating quantum cloud platforms, it’s also important to consider what programming languages and dev tools are available.

Languages and Tools on AWS Braket

Key options on AWS Braket include:

  • Amazon Braket SDK: Integrates with Python for quantum circuit modeling
  • Braket Notebook Instances: Pre-configured Jupyter notebooks
  • Braket Hybrid Jobs: Tools to run hybrid algorithms across quantum and classical resources

Braket focuses on providing a simple toolkit tailored for quantum. Knowlege of Python is helpful to access the full capabilities.

Languages and Tools on Azure Quantum

For developers, Azure Quantum offers:

  • Q# programming language: Custom language designed for quantum from Microsoft
  • Quantum Development Kit (QDK): Allows quantum programming in Python, C#, and other languages
  • Jupyter notebooks: Available but not pre-configured like on Braket
  • Visual workflow composer: Graphical tool to model quantum and classical processes

With built-in support for common languages like C# and Python, Azure Quantum can have a lower barrier to entry for some developers. However, there is more complexity to navigate for those without experience in Microsoft stack.

Cost Comparison

When budgeting for quantum computing access, AWS Braket and Azure Quantum have some pricing differences to consider.

AWS Braket pricing

Braket has three pricing components:

  • Managed hardware access – Per task pricing model based on quantum system used
  • Simulation tools – Range of hourly rates for simulator and emulator access tiers
  • Notebook usage – Hourly fee for Braket notebook environments

Overall, costs can vary widely based on hardware selection and run-time needed.

Azure Quantum pricing

Azure Quantum billing includes:

  • Base subscription – Flat monthly cost per user for access
  • Workflow run-time – Hourly usage fee for running quantum workflows
  • Q# coding – Per-minute rate for executing Q# programs
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Adds up to fairly consistent per-user pricing, could be more predictable month-to-month vs Braket. For heavy usage, Azure Quantum monthly fees often compare favorably to Braket’s pay-per-task model.

Use Cases and Applications

Some of the early use cases emerging for quantum computing where AWS Braket or Azure Quantum could be applied:

  • Drug design and discovery
  • New battery chemistry formulations
  • Optimized machine learning
  • Financial analysis for investing
  • Improved climate forecasting
  • Efficient logistics routing

Both Braket and Azure Quantum enable these solutions by making robust quantum resources accessible to more developers.

Developer Community and Support

Along with technical capabilities, assessing the developer community around each quantum platform is also key when choosing a provider.

AWS Braket Community and Support

As an AWS offering, Braket users can take advantage of:

  • Active AWS Community engagement in forums and events
  • Documentation across wide range of quantum topics on AWS
  • Workshops and training resources for Braket and quantum basics

Can tap into the broader AWS ecosystem more easily.

Azure Quantum Community and Support

On Azure Quantum side, users have access to:

  • Established Microsoft development community
  • Documentation aimed at different experience levels
  • Videos, tutorials, and guided training for Azure Quantum
  • Tie-in events with relevant Microsoft conferences like Build and Ignite

Leverages existing Microsoft audience and content repositories. Both platforms enable connecting with others working on quantum applications in the cloud.

Security and Compliance

For commercial quantum computing use, having proper security controls and compliance certification is essential.

AWS Braket Security and Compliance

AWS manages security for the full Braket platform, meaning users benefit from:

  • Braket’s compliance with ISO, HIPAA, and other standards via the AWS infrastructure
  • End-to-end encryption for algorithm inputs, outputs, code
  • Ability to store outputs in a user controlled Amazon S3 bucket
  • Apply AWS identity and access controls to Braket usage and tasks

Can meet stringent requirements leveraging other AWS compliance related tools.

Azure Quantum Security and Compliance

Microsoft also enables robust security policies within Azure Quantum like:

  • Out-of-the-box support for multi factor authentication
  • Data encryption both in-transit and at rest
  • Private network connectivity options to restrict external access
  • Monitoring and logging of all Azure Quantum workflows
  • Fulfills extensive certifications like FedRAMP, HITRUST that meet regulatory mandates

Enables safeguarding quantum workloads according to organization’s standards.

Both AWS and Microsoft provide enterprise grade security as expected from cloud leaders.

The Right Platform for Future Quantum Exploration

When evaluating AWS Braket vs Azure Quantum in 2024, there are several factors to weigh when deciding on a quantum platform:

  • Developer background: Azure Quantum may appeal more to those versed in Microsoft tools, while Braket reaches broader coder community.
  • Budget: Azure Quantum’s flat-rate pricing can be easier to forecast, but Braket offers more hardware variety.
  • Priority workloads: Initial quantum use cases like financial modeling or machine learning may thrive better on one platform.
  • In-house quantum expertise: Building up internal skills to manage quantum programs will influence technology decisions.
  • Hybrid quantum-classical integration: Requirements around combining quantum and classical systems will direct platform selection.
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The good news is both AWS Braket and Azure Quantum provide robust capabilities for early quantum exploration. As the technology continues rapidly advancing, keeping an eye on new developments in quantum cloud services is key.

By benchmarking options like Braket and Azure Quantum, organizations can make informed platform decisions for their quantum future. The next few years promise great leaps in practical quantum applications with cloud accessibility at the core of driving real-world breakthroughs.


In 2024 AWS Braket and Azure Quantum offer leading enterprise quantum cloud solutions. With expanding rosters of hardware partners, richer hybrid quantum-classical options, and enhanced developer features, these platforms enable more impactful quantum adoption. By removing infrastructure barriers, AWS Braket and Azure Quantum empower more organizations to test quantum algorithms at scale. As pioneers in quantum cloud services seek to accelerate practical use cases, choosing the right provider depends on specific priorities around budget, workloads, and technical integration needs. The next few years will prove transformative for quantum, with versatile cloud access paving the way for real-world quantum advantage.


What programming languages can be used with AWS Braket and Azure Quantum?

AWS Braket is focused on Python and Amazon Braket SDK, while Azure Quantum supports Q# along with C#, Python, and other common programming languages.

Which platform offers more quantum hardware access right now?

Currently AWS Braket has more quantum hardware partners available, with systems from IonQ, Rigetti and D-Wave.

How do the pricing models differ between the platforms?

AWS Braket uses pay-per-task billing for quantum workloads, while Azure Quantum has a flat rate subscription model that can be more predictable.

What security compliance certifications do the platforms offer?

Both Braket and Azure Quantum fulfill extensive compliance standards like HIPAA, ISO, FedRAMP due to inheriting from AWS and Microsoft infrastructure.

What are the leading use cases emerging for quantum computing in the cloud?

Early quantum computing use cases enabled by these platforms include optimized machine learning, drug discovery, advanced financial modeling, climate forecasting, and supply chain logistics.

MK Usmaan