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Additionally , and with the goal of democratizing Quantum Computing development , IBM is announcing Qiskit Patterns .
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 onprem scenarios .
All of these tools will provide building blocks for users to build and run quantum algorithms more easily .
The new system is a building block for IBM ’ s vision of quantum-centric supercomputing . This architecture combines quantum communication and computation , assisted by classical computing resources , and leverages a middleware layer to appropriately integrate quantum and classical workflows .
As part of the newly expanded ten-year IBM Quantum Development Roadmap , IBM plans for this system to also house IBM ’ s future generations of quantum processors .
Also , as part of this roadmap , these future processors are intended to gradually improve the quality of operations they can run to significantly extend the complexity and size of workloads they are capable of handling .
Qiskit and Generative AI to Increase Ease of Quantum Software Programming
IBM is also detailing plans for a new generation of its software stack , within which Qiskit 1.0 will be a pivot point defined by stability and speed .
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 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 .”
With advanced hardware across IBM ’ s global fleet of 100 + qubit systems , as well as easy-touse 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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