#Qiskit IBM Runtime

[govindhtech]

Dell Uses IBM Qiskit Runtime for Scalable Quantum Research

Analysis of Classical-Quantum Hybrid Computing

Dell Technologies Platform Models Quantum Applications with IBM Qiskit Runtime Emulator

Dell must exponentially increase compute capacity through a variety of distributed, diverse computing architectures that work together as a system, including quantum computing, to meet the demands of today's digital economy's growing data.

Quantum computation can accelerate simulation, optimisation, and machine learning. IT teams worldwide are investigating how quantum computing will effect operations in the future. There is a prevalent misperception that the quantum computer will replace all conventional computing and can only be accessed locally or remotely via a physical quantum device.

The system can now recreate key quantum environment features using classical resources. IT executives interested in learning more and those who have begun and want to enhance their algorithms may now access the technology. Emulators simulate both quantum and classical features of a quantum system, while simulators just simulate quantum aspects.

Dell Technologies tested a hybrid emulation platform employing the Dell PowerEdge R740xd and IBM's open-source quantum computer containerised service Qiskit Runtime. The platform lets users locally recreate Qiskit Runtime and test quantum applications via an emulator.

IBM's Vice President of Quantum Jay Gambetta said, “This hybrid emulation platform is a significant advancement for the Qiskit Ecosystem and the quantum industry overall.” Because users may utilise Qiskit Runtime on their own classical resources, the platform simplifies algorithm creation and improvement for quantum developers of all levels. Dell wants to work with Dell to expand the quantum sector.

Quantum technology lets the Qiskit Runtime environment calculate in a day what would have taken weeks. Qiskit uses open-source technology, allowing third-party development and integration to progress the field. The hybrid emulation platform will accelerate algorithm development and use case identification and increase developer ecosystem accessibility.

GitHub has all the tested solution information. Testing revealed these important findings:

Quick Setup Cloud-native Kubernetes powers conventional and quantum processing on the platform. Customer deployment to on-premises infrastructure is easy. Customers used to transmit workloads and data to the cloud for processing.

Faster Results Running and queuing each quantum circuit is no longer essential. Performance and development time are improved by combining conventional and quantum algorithms.

Enhanced Security Classical computing—data processing, optimisation, and algorithm execution—can be done on-premises, improving privacy and security.

Selectivity and Cost Using an on-premise infrastructure solution might save money and provide you an edge over cloud service providers. This model may be run using the Qiskit Aer simulator or other systems, giving quantum solution selection freedom.

The rising workload levels for quantum computing need expansion of classical infrastructure, including servers, desktops, storage, networking, GPUs, and FPGAs. The hybrid emulation platform is what IT directors need to simulate quantum and traditional calculations on their infrastructure.

Running Dell Qiskit

Qiskit Dell Runtime runs classical-quantum programs locally and on-premises. This platform develops and executes hybrid classical-quantum code bundles. The Qiskit Runtime API-powered execution paradigm integrates quantum and conventional execution.

Simulation, emulation, and quantum hardware can be integrated on this platform. Qiskit lets developers abstract source code for simple execution across execution environments.

Windows and Linux are used to test Qiskit-Dell-Runtime.

Introduction to Qiskit

Qiskit Dell Runtime does hybrid classical-quantum calculations locally and remotely. Qiskit experience is recommended before using the platform.

Architecture

The platform offers server-side and client-side provider components.

Client-side provider

DellRuntimeProvider must be installed on client devices. The provider defaults to local execution and may be used immediately. This provider can also connect to server-side platforms, letting users operate servers and accomplish operations from one API.

Server-side components

Simple design gives server-side components a lightweight execution environment. Orchestrator, a long-running microservice, handles DellRuntimeProvider requests.

Starting a job will create a pod to perform classical and vQPU workloads at runtime.

Configuring Database

Code and execution parameters supplied by users will be stored in a database. This platform deploys MySQL by default. Users who want to switch databases should check these installations' database settings.

SSO

SSO integration is disabled by default to simplify sandbox creation. Integration hooks provide easy integration with several SSO systems on the platform.

Multi-Backend Support

The Qiskit Aer simulation engine handles quantum execution by default. Change the quantum backend by providing backend-name in the task input area. Qiskit may support several emulation, simulation, and QPU backends simply altering the code.

Emulation vs. Simulation

Emulation engines utilise deterministic calculations to calculate algorithm outputs, whereas simulation engines use quantum circuits to quantify probabilities.

The Hybrid Emulation Platform simulates and emulates depending on the backend.

The VQE example in the manual or a Qiskit lesson might help you decide when to use simulation or emulation.

[vastfixx]

The Evolution of Computer Hardware - From Mainframes to Quantum Computers

Whether it's the mainframe that powers most of the world’s financial markets or a personal computer that lets you check your email and Facebook, modern computers are more than just bigger, faster machines. They’re also more complex and less predictable than ever. To understand how this happened, we can look at the history of computing hardware.

In the first generation of computers, a vacuum tube took five cycles — 300 microseconds — to multiply 40-bit words. The first programmable machine was developed by Konrad Zuse in 1941 with his Z3 — the world's first digital computer, according to Gerard O’Regan's book "A Brief History of Computing". By the end of 1958, the first solid-state electronic computers (called transistors) had appeared. The first writable random-access memory was magnetic core memory, which used the polarity of tiny rings to store information (like a computer hard drive).

The fourth generation of computers brought integrated circuit chips that dramatically improved performance, size and cost. Microprocessor chips like the 4004 (used in the IBM personal computer) were capable of 60,000 instructions per second, and memory was much smaller thanks to the development of writable memory on integrated circuits. A microprocessor chip could store kilobits of data on one small piece of semiconductor. These advances, plus the development of graphical user interfaces with the mouse and a graphical programming What is techogle? language called BASIC(Beginner's All-purpose Symbolic Instruction Code) made computers more affordable for the general public.

But even as computing became more affordable and accessible, it remained a highly specialized field. Computers were largely the domain of engineers and mathematicians, with only a few academic disciplines, such as biology and linguistics, that had some degree of computing expertise.

As software emerged from hardware, a new discipline – computer science — was created. However, purely engineering or pure maths perspectives are still prevalent in this new field. As Bertalanffy’s General Systems Theory explains, disciplines evolve when different specialties discover isomorphisms (equal laws or equations in different contexts).

The most recent evolution of computer hardware was the emergence of quantum computers. The qubits that comprise quantum computers are fabricated in silicon, just as traditional computer hardware is, and packed with lashings of niobium, aluminum and other superconducting metals website technology that are cooled to 15 millikelvins — 0.015 degrees above absolute zero, more than 100 times colder than outer space.

These quantum chips are based on the fundamental physical principle that subatomic particles can be entangled to perform calculations far beyond the limitations of classical computers. Quantum computers can, for example, perform many operations simultaneously that would take classical processors a long time to do. This allows them to speed up computational processes exponentially, with a trade-off of error rates. Until now, the only way to test quantum computers has been to program them with specific algorithms. But this week, IBM released a beta version of Qiskit Runtime - a quantum-computing service and programming model that makes it easier to optimize workloads for quantum systems at scale.

[dailytechnologynews]

IBM just solved this quantum computing problem 120 times faster than previously possible. Big Blue has now released Qiskit Runtime, which enables a significant acceleration of quantum calculations carried out over the cloud. https://ift.tt/3ty6sjr

[universallydragonstudentalmond]

Qiskit Runtime overview - IBM Quantum

Qiskit Runtime overview – IBM Quantum

Primitives provide a simplified interface for defining near-time quantum-classical workloads required to efficiently build and customize applications. The initial release of Qiskit Runtime includes two primitives: Estimator and Sampler. They perform foundational quantum computing tasks and act as an entry point to the Qiskit Runtime service. Learning, how-to, and reference materials for IBM…

[eurekakinginc]

"IBM just solved this quantum computing problem 120 times faster than previously possible. Big Blue has now released Qiskit Runtime, which enables a significant acceleration of quantum calculations carried out over the cloud."- Detail: https://ift.tt/3ty6sjr. Title by: izumi3682 Posted By: www.eurekaking.com

[we-future-first]

IBM just solved this quantum computing problem 120 times faster than previously possible. Big Blue has now released Qiskit Runtime, which enables a significant acceleration of quantum calculations carried out over the cloud.

submitted by /u/izumi3682 [link] [comments]

source https://www.reddit.com/r/Futurology/comments/naauyw/ibm_just_solved_this_quantum_computing_problem/

[kairostechinc]

IBM Reveals Five Year Quantum Development Roadmap

Every year we get closer to mainstream use of quantum computers. IBM continues its approach to making that a reality with a step-by-step roll out of new quantum hardware and software. Last year, IBM released its plans for a series of computers with ever increasing numbers of qubits (quantum bits) through to 2025. In this most recent announcement, IBM described new capabilities of its quantum computers to compute faster and with new capabilities. In addition, it announced plans to build a software and solution ecosystem around certain problem sets, including natural sciences (chemistry, biology, physics, etc.), optimizations, finance, and machine learning. These are research categories with lots of problems to solve.

Today’s early developers are looking at where to use quantum. What are the problems to solve? These are areas where developers need to decide on today in preparation for new systems and capabilities coming online in the near future. But even at this early phase, quantum has provided business value to some of IBM’s corporate and government customers.

While AI is getting the most attention and venture capital, there are some problems that quantum can solve more effectively than classical (Von Neuman) and AI. While quantum won’t replace classical computing anytime soon, it promises to solve some intractable compute problems. Researchers recently have had access to real quantum computers (IBM opened up its quantum computers 5 years ago), so we are in the very early stages of applying quantum to solve research and industry problems.

In today’s use of quantum computers, a classic computer runs most of the code and then hands off the quantum problem to the quantum computer. Controllers set up the quantum circuits, run the circuit, and return the results. The quantum setup and return consume a lot of time. IBM has introduced the Qiskit Runtime (Qiskit is IBM’s open-source quantum development platform) that can now use local processing to run quantum circuits more efficiently and can lead to a 100x faster performance than without Qiskit Runtime.

IBM Hardware Quantum Circuits Improvements

The figure below shows the three key attributes IBM is focused on improving: Quality, Capacity and Variety. IBM has been working to not only develop more quantum circuit capacity, but also with more capabilities, allowing a broader variety of circuits that can be run on IBM Quantum computers and to run those circuits faster.

With IBM’s Qiskit Runtime, a classic computer near the quantum computer manages the quantum circuit results and any logic decisions, like those in nested loops. Previously, the result would have to travel from the quantum computer, through the cloud, and to the developer’s computer to make decisions on whether to continue to loop. With Qiskit Runtime, execution can be up to 100x faster on looping algorithms, increasing quantum capacity.

Another important improvement to IBM’s quantum computers is the addition of dynamics circuits. With dynamic circuits future execution can be dependent on earlier measurements, which is roughly equivalent to branching execution in classical computer. Dynamic circuit execution is based on mid-circuit measurements.

Also, with dynamic circuits, it is possible to do mid-circuit reset of qubits and therefore ancillary circuits can be reset and reused without resenting the whole circuit, this increases variety of circuits and increasing capacity. This will also lead to better phase estimation execution, an important algorithm for quantum. Dynamic circuits are essential for creating error checking and correction of quantum circuits – leading eventually to fault-tolerant logical qubits.

All these improvements are important for kernel circuit developers – the low-level programming of the quantum computers, roughly equivalent to microcode programming in classical computers. This is programming for the most expert quantum user.

Making Quantum Software Frictionless

IBM also released its roadmap for its quantum software development for the next five years. By 2023 IBM will offer new developer support for “frictionless” development for mainstream programmers using well know languages like Python to keep the develop environment user friendly and foster wider adoption. Ultimately only a quantum function call and results functions (figure below) should be required. This simplifies the developer use, making calling quantum functions no different than classic functions, which is what IBM calls frictionless.

Based on IBM’s roadmap (see below), we can expect that in 2021 it will have faster computing based on Qiskit Runtime availability. In 2022, IBM will have dynamic circuits available. In 2023 the company expects to have over 1,000 qubits. At the same time, it expects it will have circuit libraries and prebuilt quantum runtimes for the frictionless workflows. The goal is to make it seamless to use quantum cloud computers by 2023.

For 2024, IBM is investigating the possibility of error correction. Beyond that, there’s the possibility the high-performance classic computers will enable new quantum capabilities. The key to the next few years will be developing workflows and experiments with combinations of classical (including HPC) and quantum.

Access to Quantum is Essential to Knowing How to Use Quantum

Today’s early quantum developers are looking at where to use quantum to solve difficult problems that are not easily solvable with existing computers, like those that don’t scale linearly. These are areas where developers need to decide on today in preparation for new systems and capabilities coming online.

IBM’s Quantum Network has 140 participating organizations, indicting there’s significant interest in learning and testing quantum computers. IBM is presently operating twenty quantum machines of various qubits and ten are accessible free of charge. Developer activity continues to increase and is now up to two billion circuits run per day.

The progress that IBM is making on tools should increase the accessibility of quantum computing. Eventually, there will be no excuse not to have quantum computing as a tool for solving critical problems. IBM is making steady progression and offers a roadmap for companies to plan against.

This Article Source is From : https://www.forbes.com/sites/tiriasresearch/2021/02/18/ibm-reveals-five-year-quantum-development-roadmap/?sh=8981346774d8

[govindhtech]

IBM Boosts Qiskit, the Leading Quantum Software Toolkit

IBM Qiskit

IBM today announced the development and global adoption of its quantum software, Qiskit. Since its launch in 2017, Qiskit, an open-source software development kit (SDK), has enabled over 550,000 users to create and execute quantum circuits on IBM’s quantum hardware platforms, totaling over 3 trillion quantum circuit executions.

To achieve even greater performance, Qiskit has been developed into a whole software stack in its most recent version. From its humble beginnings as a well-liked quantum software development kit for investigating and executing quantum computing experiments, it has developed into a reliable SDK and services portfolio, designed to help users gain better performance when executing intricate quantum circuits on more than 100 qubit IBM quantum computers.

Members of the IBM Quantum Network will be able to discover the next generation of quantum algorithms in their respective areas with the most powerful Qiskit capabilities thanks to this extension, which will also help them uncover quantum advantage.

Users must have a set of tools that can map their issues to make use of both sophisticated classical and quantum computation, optimise the problem for effective quantum execution, and then successfully execute the quantum circuits on actual quantum hardware in order to achieve quantum advantage. These tools, which IBM has been developing for the past seven years, are now coming together to form the Qiskit software stack.

Qiskit has had over 100 releases since its debut as a pioneering quantum computing research tool. Qiskit is used by enterprises, governments, research centres, and universities to undertake large-scale quantum experiments.

The Qiskit software stack is expanded to include:

The Qiskit SDK v1.x stable release is designed for creating, refining, and displaying quantum circuits.

Quantum circuit optimisation using artificial intelligence (AI) integrated into the Qiskit Transpiler Service.

Simplified modes of operation for the Qiskit Runtime Service, which may be adjusted to run quantum circuits efficiently on quantum hardware.

Watsonx-based generative AI models enable the Qiskit Code Assistant to automate the creation of quantum code.

Using quantum hardware and classical clusters, quantum-centric supercomputing tasks can be executed using the Qiskit Serverless open-source platform.

Qiskit SDK

Circuits for quantum hardware can now be optimized 39 times faster than with Qiskit 0.33 thanks to the addition of new features and enhancements to the Qiskit SDK. In addition, Qiskit is designed to minimize overhead and minimize the size of circuits; it has been shown to cut memory use by an average of three times when compared to Qiskit 0.43.

Additionally, by integrating AI and heuristic passes with the Qiskit Transpiler Service, customers can minimise circuit depth in comparison to utilising the Qiskit SDK without AI optimisation.

According to Jay Gambetta, IBM Fellow and Vice President, IBM Quantum, “the global adoption of quantum computing and the discovery of quantum advantage will require a combination of leading quantum hardware alongside a robust and performant software stack to run workloads.” The algorithm discovery process that has started on utility-scale quantum technology is based on these two foundations. The Qiskit stack is expected to serve as a fundamental tool for investigating the computational domains where quantum computing shines, as an expanding quantum ecosystem matches its most challenging issues to quantum circuits.

In 2023, IBM gave its quantum hardware’s utility-scale capabilities its first public demonstration. This was the first step towards a future where quantum hardware would be able to execute quantum circuits more quickly and precisely than a classical computer could emulate a quantum computer. Designed to optimise the capabilities of cutting-edge quantum hardware, the Qiskit software stack seeks to support a worldwide community of users in exploring novel quantum algorithms that investigate scenarios in which quantum computing may outperform traditional methods in solving problems.

Giorgio Cortiana, Head of Data and AI – Energy Intelligence, E.ON, stated, “it offers a valuable set of tools for E.ON as we investigate how quantum computing could help us navigate the financial and operational complexities of the energy industry.” “Our team is able to advance utility-scale prototypes with this as a performant foundation to build and discover quantum algorithms that can be applied to business use cases, with the aim of finding new solutions to challenges in the European energy sector.”

Senior scientist Stephan Eidenbenz of Los Alamos National Laboratory stated, “We started using Qiskit for our quantum computing efforts several years ago as part of an effort to help develop a quantum-ready workforce.” Every day, scientists in the lab utilise this to experiment with novel algorithmic concepts and to communicate with IBM’s quantum hardware backends. Our team can also add compiler optimisation steps and enable pulse-level access thanks to it’s open nature.

We have executed circuits on IBM’s quantum hardware at Brookhaven using Qiskit, and this work has led to the publication of around 20 articles to date, covering topics such as condensed matter systems, dynamic systems, and physics frontiers. According to James Misewich, Associate Laboratory Director for Energy and Photon Sciences at Brookhaven National Laboratory, “Qiskit has also allowed our teams to develop extensions that push forward our exploration of bosonic and hybrid qubit-bosonic circuits, and how they could advance fundamental quantum algorithm development and error correction.”

“We have integrated IBM’s Qiskit resources and tutorials into our educational programmes through Brookhaven’s Co-design Centre for Quantum Advantage, where we partner with academic institutions like Stony Brook University to prepare the quantum workforce of the future, as we advance the scientific applications of quantum computing.”

Director of the Department of Energy’s Quantum Science Centre at Oak Ridge National Laboratory, Travis Humble, stated, “Advances in quantum computing software can help support the innovation and rapid growth of our user community and their developing technologies for our Quantum Computing User Programme here at Oak Ridge National Laboratory.” Enhancements in software efficiency will have a substantial influence on how users assess and test the capabilities of current quantum computing systems.

“The Q-CTRL team is excited about collaborating with Qiskit for building,” stated Michael J. Biercuk, the company’s founder and CEO. “Its flexible new interfaces and enhanced stability are enabling us to efficiently build simple abstractions on top of our powerful performance-management software at utility scale, so end users can explore their toughest problems with a single command.”

Constructed for the Quantum Utility Era and Beyond

The breakthrough quantum circuits to advance the quantum utility era are planned to be run by it’s software stack, which is designed to handle the quickly evolving quantum hardware and offers flexibility independent of vendor. This is accomplished by using the Rust programming language in place of performance-critical code, together with an extensive set of tools to facilitate the effective operation of quantum circuits.

The company anticipates that it will continue to provide a framework for the open, iterative, and collaborative development of new quantum algorithms and applications, carried out in conjunction with a growing global ecosystem of clients across industries and domain expertise areas, as IBM continues to build milestones along its IBM Quantum Development and Innovation Roadmap towards error-corrected systems.

Furthermore, the goal of these developing capabilities is to assist users in combining classical and quantum computing resources into a new high-performance computing paradigm characterised by quantum-centric supercomputing, which combines CPUs, GPUs, and QPUs. This next step in high-performance computing, orchestrated by it’s performant software layer, intends to create significant, new, and powerful opportunities for companies throughout the world.

Qiskit 1.0

Please note that IBM’s performance claims for Qiskit are based on comparisons between the software’s performance in its present version and its performance in relevant previous versions when users could access similar functionality. The IBM Quantum Summit 2021 saw a total speed time of 430.89 seconds for Qiskit 0.33. When Qiskit 1.0 was released in February 2024, its total speed time was equal to 10.9 seconds.

Please note that IBM’s performance claims for it is based on comparisons between the software’s performance in its present version and its performance in relevant previous versions when users could access similar functionality. In May 2023, Qiskit 0.43 used 1,750 MiB of RAM. When Qiskit 1.0 was released in February 2024, its memory utilisation was equal to 580 MiB.

The plans, directions, and intentions expressed by IBM are subject to modification or retraction at any time, at IBM’s sole discretion, and without prior notice. Any future features or functionality that we mention for our products are subject to our exclusive discretion regarding their development, release, and timing.

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[my-yasiuae]

IBM تجعل الحواسيب الكمومية أكثر عملية

IBM تجعل الحواسيب الكمومية أكثر عملية

بقدر ما تحسنت أجهزة الحواسيب الكمومية، فهي بعيدة كل البعد عن أخذ زمام الأمور من أجهزة الحاسب التقليدية في بعض المواقف، ومع ذلك، ربما جعلتها شركة IBM أكثر عملية. ووجدت العملاقة التكنولوجية طريقة للجمع بين بيئة تنفيذ البرامج الجديدة، Qiskit Runtime، مع توازن الحوسبة الكلاسيكية والحوسبة الكمومية لتقديم تسريع 100 مرة للمهام التي تعتمد على تنفيذ الدائرة التكرارية. وقالت IBM: إن الحسابات التي تستغرق…

[govindhtech]

IBM Launches Quantum System Two And Quantum Heron Processor

IBM Quantum Heron Processor

The first of a new series of utility-scale quantum processors, IBM Quantum Heron, was unveiled right now at the annual IBM Quantum Summit in New York. Its architecture has been developed over the last four years to deliver IBM’s highest performance metrics and lowest error rates of any IBM Quantum processor to date.

Additionally, IBM debuted IBM Quantum System Two, the first modular quantum computer made by the firm and the main component of their quantum-centric supercomputing architecture. With three IBM Heron processor and accompanying control electronics, the first IBM Quantum System Two, situated in Yorktown Heights, New York, has started up operations.

Now that this crucial framework is in place, the company is extending its IBM Quantum Development Roadmap until 2033 with new goals to greatly improve the quality of gate operations, in addition to other advances in quantum hardware, theory, and software. By doing this, it would be possible to run quantum circuits of greater size and contribute to the full realization of quantum computing’s promise at scale.

IBM Quantum systems can now be used as a scientific tool to examine utility-scale classes of issues in chemistry, physics, and materials beyond brute force classical simulation of quantum mechanics, as proven by IBM earlier this year on a 127-qubit ‘IBM Quantum Eagle’ processor.

Since then, utility-scale quantum computing has been demonstrated more often by eminent scientists, engineers, and researchers from a variety of institutions, including IBM, the U.S. Department of Energy’s Argonne National Laboratory, the University of Tokyo, the University of Washington, the University of Cologne, Harvard University, Qedma, Algorithmiq, UC Berkeley, Q-CTRL, Fundacion Ikerbasque, Donostia International Physics Center, and the University of the Basque Country.

This includes trials currently underway on the brand-new IBM Quantum Heron 133-qubit processor, which the company is currently offering to consumers through the cloud. The first of IBM’s new generation of high-performance processors, IBM Heron offers a five-fold gain over the previous best records set by IBM Eagle, thanks to dramatically improved error rates. Over the course of the next year, more IBM Heron processors will be added to IBM’s fleet of systems, which leads the industry in terms of utility and performance.

The Extended IBM Quantum Development Roadmap and IBM Quantum System Two

The architecture of IBM’s next-generation quantum computing system is built on IBM Quantum System Two. It integrates modular qubit control circuits with traditional runtime servers and scalable cryogenic infrastructure. The new system serves as a foundational element for IBM’s quantum-centric supercomputing concept. This architecture uses a middleware layer to properly integrate quantum and classical workflows. It integrates quantum communication and processing with the help of classical computer resources.

This system is intended to contain IBM’s next generation of quantum processors as well, according to IBM’s recently enlarged ten-year IBM Quantum Development Roadmap. Furthermore, as part of this roadmap, these upcoming processors are meant to progressively enhance the caliber of operations they can perform, hence greatly increasing the complexity and volume of workloads they can manage.

Enhance the Simplicity of Quantum Software Programming with Qiskit and Generative AI

IBM is also presenting plans today for a new generation of its software stack, of which Qiskit 1.0 will be a turning point characterized by speed and stability. IBM is also introducing Qiskit Patterns, which aims to democratize the development of quantum computers.

Quantum developers will be able to write code more quickly and simply with the help of Qiskit Patterns. Its foundation is a set of tools for mapping classical issues to quantum circuits, optimizing those circuits with Qiskit, running those circuits with Qiskit Runtime, and postprocessing the output. Users will be able to create, implement, and run workflows mixing classical and quantum processing in various contexts, such as cloud or on-premise situations, by combining Qiskit Patterns with Quantum Serverless. With the help of these tools, users will be able to construct and execute quantum algorithms more quickly.

Furthermore, IBM is in the forefront of applying generative AI to quantum code programming via its enterprise AI platform, Watsonx. IBM plans to include Watsonx’s generative AI technology to facilitate the automation of Qiskit’s quantum code development. The IBM Granite model series will be adjusted in order to accomplish this.

“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,” stated Jay Gambetta, Vice President and Fellow at the company. “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.”

Users and computational scientists can now reliably derive results from quantum systems as they map larger and more complex problems to quantum circuits thanks to the sophisticated hardware found in IBM’s global fleet of more than 100 qubit systems and the user-friendly software that IBM is introducing with Qiskit.

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