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Complex optimization problems exist across every industry, such as vehicle routing, supply chain management, portfolio optimization, power grid management, and many others. Optimization algorithms are also at the core of many machine learning methods. These real-world problems are very valuable to solve in order to reduce costs, accelerate processes, or reduce risk.
Quantum computers might be able help solve complex optimization problems, from combinatorial optimization to partial differential equations. Quantum computers can naturally represent random distributions as quantum states, and therefore have the potential to provide better solutions than today’s classical optimization algorithms.
Because of quantum computing’s ability to more efficiently explore thousands of scenarios, optimization applications in the energy and utilities sector are ideal since they are complex systems that require compute power beyond what even the most powerful classical computers can currently provide.
In addition to solving complex optimization problems, quantum computers may be able to aid in chemistry and materials development far beyond the capacity of present-day supercomputers. Such simulations could lead to breakthroughs in materials science such as batteries with greater capacity and longer life spans, high temperature superconductors, and new catalysts for converting and optimizing alternative fuel sources.
In response to unique business challenges, many organisations must adjust how they deliver their services. As these organisations adopt new technology solutions to support this change, the developers who create these solutions must meet an increased demand – while also adapting to working remotely. Boost your development productivity while meeting new requirements – with cloud-based tools that support remote coding, collaboration and delivering code to production.
Read the white paper, Cloud-enabled development in a remote world, to see how to quickly expand your toolset – and produce better-quality work in less time.
Learn how to:
- Simplify your workflow and work from anywhere with GitHub Codespaces.
- Customise your code recommendations using AI with Visual Studio IntelliCode.
- Discover new ways to build, test and deliver your code using automated systems including continuous integration and continuous delivery (CI/CD).
- Maximise the benefits of remote collaboration tools, such as Visual Studio Live Share.
Attend the free webinar: Build cloud applications for a remote world
Prove if a concept works or not – before your organisation makes a significant investment. Learn how to create and execute a proof of concept for developing apps in Azure, from a well-designed plan to measurable test results.
Read the Azure Proof of Concept Guide for Developers to explore:
- What makes an effective proof of concept.
- How to prepare for and start your proof of concept project.
- Best-practice examples to help you to create your own projects, including building a web app and an intelligent chat bot.
- Additional resources to help you develop apps in Azure.
New Thought Leadership Checklist whitepaper to be posted to Business-critical applications page
Learn about the Azure Disk Storage portfolio and range of capabilites for enterprise workloads in the cloud in this white paper by International Data Corporation.
This licensing guide is for people who would like to gain a basic understanding of how to license Microsoft Azure Stack Hub and workloads on Azure Stack Hub.
For manufacturers, the promise of Industry 4.0 lies in breaking down silos and gaining a holistic view across the entire operation, from asset data to insights across all manufacturing processes. But there are some big challenges in getting there—the data path is generally several layers deep, and enabling those layers to communicate freely can be an expensive and complex proposition.
Microsoft Azure offers a path to overcome the ISA-95 compliance and interoperability conundrum. Azure Industrial IoT enables both established plants and new plants to be equipped with future monitoring and optimization functions for Industry 4.0 needs in addition to the classic automation pyramid—through a safe, secure, and open approach that does not compromise existing implementations.
The goal of this whitepaper is to help our customers understand how they can use an Azure nested edge solution to unlock Industry 4.0 in their own facilities. It offers guidance on how customers around the world can build cloud native industrial solutions on their terms and be ready for the future..
The “Optimizing performance and managing costs with Azure Cosmos DB” guide will help you set up your workloads for speed and performance in cost-effective ways. In it, you’ll discover:
- The differences between serverless and throughput, and how to choose the right option for your application
- How to ensure fast response times and reduce costs of your most frequent queries with the right data model
- Ways to minimize throttling and boost performance by choosing the right partition key
- How to improve resiliency and availability by distributing your data across multiple Azure regions
- What “multi-master” is and how it can lower latency and deliver high availability
Plus, you’ll learn how to configure your account and databases to take advantage of Azure Cosmos DB’s enhanced SLAs for 99.999% high availability, and <10 ms read and write latencies worldwide.
Azure SQL Edge whitepaper