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Conti­nuous Develo­p­ment / Conti­nuous Integration

Conti­nuous Develo­p­ment is a broad approach where code changes are made, integra­ted, tested, and prepared for release on an ongoing basis rather than in large, infre­quent batches. It empha­si­zes short develo­p­ment cycles, frequent updates, and rapid feedback so that features, fixes, and impro­ve­ments flow steadily from idea to produc­tion.​ Conti­nuous Integra­tion is a speci­fic practice where develo­pers frequently merge their code changes into a shared reposi­tory, trigge­ring automa­ted builds and tests each time to detect integra­tion problems early. The goal is to keep the codebase in a consis­t­ently working state, reduce integra­tion conflicts, and enable faster, more relia­ble delivery of new software versions.

Topics in the Subfield Quantum software engineering:

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Design patterns

A design pattern is an abstract descrip­tion of how a recur­ring problem within a…

Workflows

In the context of software, a workflow descri­bes the struc­tu­red sequence of activi­ties, whether manual or automa­ted, states, and transi­ti­ons through which…

Standar­diza­tion (Appli­ca­tion Programming Inter­faces, APIs)

Standar­diza­tion in software develo­p­ment and APIs… 

Best practi­ces (e.g. clean code, documentation)

A best practice in software develo­p­ment is a method or guide­line that has proven over time to be effec­tive in addres­sing a recur­ring problem or accom­pli­shing a speci­fic task in a relia­ble, effici­ent, and maintainable manner.

Testing, debug­ging, verification

Testing in software develo­p­ment is the syste­ma­tic process of execu­ting a program or system with the objec­tive of…

AI powered code generation

AI Powered Code Genera­tion in software develo­p­ment refers to the use of artifi­cial intel­li­gence models to…

High Level Programming Languages (e.g. QRISP)

A high level programming language such as Python or QRISP is highly abstrac­ted from machine code and allows develo­pers to work with…

Domain speci­fic programming languages (DSLs)

A domain speci­fic language (DSL) in software develo­p­ment is a programming language that is specia­li­zed for a parti­cu­lar appli­ca­tion domain, problem area, or class of tasks.

Hardware Speci­fic Programming Languages

In the context of quantum software enginee­ring, hardware speci­fic refers to…

Low Level Programming Languages (e.g. Qiskit)

High level and low level programming languages differ prima­rily in how closely they…

Software Develo­p­ment Kit (SDK)

A Software Develo­p­ment Kit (SDK) is a bundled collec­tion of tools, libra­ries, and documen­ta­tion that…

General Purpose Emula­tors (e.g. state vector, QASM, tensor networks)

A General Purpose Emula­tor in quantum compu­ting software develo­p­ment is a classi­cal software tool or simula­tor that…

Specia­li­zed Emula­tors (e.g. STIM, QRyd)

In high perfor­mance compu­ting (HPC), specia­li­zed emula­tors refer to emula­tion tools or platforms that…

Quantum high perfor­mance compu­ting integration

Quantum HPC integra­tion in quantum compu­ting software develo­p­ment refers to the…

Develo­p­ment Platform

In the context of quantum software enginee­ring, the term platform refers to the under­ly­ing environ­ment on which software is develo­ped, execu­ted, and opera­ted. It compri­ses a combi­na­tion of…

Services QaaS

Quantum as a Service (QaaS) is a cloud service model that provi­des location indepen­dent, on demand access to quantum compu­ting resour­ces, inclu­ding real quantum proces­sors, emula­tors, and develo­p­ment tools, via the internet.

Hybrid Cloud

A hybrid cloud in software develo­p­ment and cloud compu­ting descri­bes an archi­tec­ture in which appli­ca­ti­ons and data are distri­bu­ted across a combi­na­tion of private and public cloud environments.

Manage­ment and opera­tion of cloud quantum compu­ting (e.g. orchestra­tion, scheduling)

The term descri­bes how a cloud based quantum compu­ting (QC) environ­ment is opera­ted in practice: how jobs…

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