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Qiskit Patterns will serve as a mechanism to allow quantum developers to create code more easily . It is based in a collection of tools to simply map classical problems , optimize them to quantum circuits using Qiskit , executing those circuits using Qiskit Runtime , and then postprocess the results .
With Qiskit Patterns , combined with Quantum Serverless , users will be able to build , deploy and execute workflows integrating classical and quantum computation in different environments , such as cloud or on-prem scenarios .
All of these tools will provide building blocks for users to build and run quantum algorithms more easily . code for Qiskit . This will be achieved through the finetuning of the IBM Granite model series .
“ Generative AI and Quantum Computing are both reaching an inflection point , presenting us with the opportunity to use the trusted foundation model framework of watsonx to simplify how quantum algorithms can be built for utility-scale exploration ,” said Jay Gambetta , Vice President and IBM Fellow at IBM .
“ This is a significant step towards broadening how Quantum Computing can be accessed and put in the hands of users as an instrument for scientific exploration .”
Additionally , IBM is pioneering the use of generative AI for quantum code programming through watsonx , IBM ’ s enterprise AI platform .
IBM will integrate generative AI available through watsonx to help automate the development of quantum
With advanced hardware across IBM ’ s global fleet of 100 + qubit systems , as well as easy-to-use software that IBM is debuting in Qiskit , users and computational scientists can now obtain reliable results from quantum systems as they map increasingly larger and more complex problems to quantum circuits . p
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