Microsoft has opened Azure Quantum, its cloud ecosystem for building quantum computing applications, to the public for use in a preview phase.

While Microsoft has been at the heart of creating a full software stack that will give developers a chance to learn about quantum computing programming; with its Q# language (pronounced “q sharp”) and simulator which were first announced in 2017, intended to bridge the functions, variables, and branches of traditional programming concepts.

Quantum computing is a relatively new field with built algorithms from wiring up logic gates; including vector and matrix mathematics, the qubit, Dirac notation, Pauli measurements, and quantum circuits.

Free trial for Azure Quantum cloud service



Microsoft announced on February 1, that the Azure Quantum cloud service will be available for a free trial. With developers, researchers, and other integrators able to use the platform to build different solutions leveraging the tools in a trusted public cloud.



The key component of the platform is the open source Quantum Development Kit developed by Microsoft with the Q# language for quantum programming. And Microsoft’s Quantum Intermediate Representation (QIR) featured as a common open source interface between the languages and target quantum computations.

Microsoft looks to partner with Honeywell Quantum Solutions and IonQ in providing quantum computing hardware. Microsoft has already made available a primer on essential quantum computing concepts, and the Q# development kit with detailed instructions on the installation and introductory programming tutorials.

Getting Started with Azure Quantum cloud service



Microsoft invites developers to explore the system, which will be offered on a pay-as-you go basis. Azure Quantum has been employed for applications such as freight optimization, cancer research, logistics and risk management.

Even as quantum computing is perceived as capable of disrupting many industries once it becomes available and ubiquitous, it will also help in solving pretty complex problems.

Microsoft opens up Azure Quantum cloud service for public preview

Microsoft has opened Azure Quantum, its cloud ecosystem for building quantum computing applications, to the public for use in a preview phase.

While Microsoft has been at the heart of creating a full software stack that will give developers a chance to learn about quantum computing programming; with its Q# language (pronounced “q sharp”) and simulator which were first announced in 2017, intended to bridge the functions, variables, and branches of traditional programming concepts.

Quantum computing is a relatively new field with built algorithms from wiring up logic gates; including vector and matrix mathematics, the qubit, Dirac notation, Pauli measurements, and quantum circuits.

Free trial for Azure Quantum cloud service



Microsoft announced on February 1, that the Azure Quantum cloud service will be available for a free trial. With developers, researchers, and other integrators able to use the platform to build different solutions leveraging the tools in a trusted public cloud.



The key component of the platform is the open source Quantum Development Kit developed by Microsoft with the Q# language for quantum programming. And Microsoft’s Quantum Intermediate Representation (QIR) featured as a common open source interface between the languages and target quantum computations.

Microsoft looks to partner with Honeywell Quantum Solutions and IonQ in providing quantum computing hardware. Microsoft has already made available a primer on essential quantum computing concepts, and the Q# development kit with detailed instructions on the installation and introductory programming tutorials.

Getting Started with Azure Quantum cloud service



Microsoft invites developers to explore the system, which will be offered on a pay-as-you go basis. Azure Quantum has been employed for applications such as freight optimization, cancer research, logistics and risk management.

Even as quantum computing is perceived as capable of disrupting many industries once it becomes available and ubiquitous, it will also help in solving pretty complex problems.

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