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Quantum computing : NVIDIA partners with Pawsey

NVIDIA partners with Pawsey Supercomputing for Quantum computing exploration

In a significant move for the field of quantum computing, NVIDIA has joined forces with Australia’s Pawsey Supercomputing Centre. This collaboration is poised to make a substantial impact on research by combining NVIDIA’s cutting-edge CUDA Quantum platform with the deployment of the powerful Grace Hopper Superchips. These advancements are expected to propel computational capabilities at the Centre’s National Supercomputing and Quantum Computing Innovation Hub to new heights.

At the heart of this partnership is NVIDIA’s CUDA Quantum platform, which is designed to facilitate hybrid quantum computing research. This approach blends classical and quantum computing to solve complex problems more efficiently. Researchers at Pawsey will leverage this platform to advance quantum algorithm development, optimize quantum device designs, and improve techniques for quantum error correction, calibration, and control.

NVIDIA Quantum Computing

Equally important to this initiative is the introduction of the NVIDIA Grace Hopper Superchip. This superchip, which combines the Grace CPU with the Hopper GPU, is specifically engineered for high-precision quantum simulations. These simulations are essential for enhancing our understanding of quantum systems and for developing applications that span a variety of industries.

The economic implications of this venture are substantial. The Australian national science agency, CSIRO, estimates that quantum computing could add $2.5 billion to the economy annually and create 10,000 jobs by 2040. The anticipated growth is expected to stem from quantum computing’s potential to improve areas such as astronomy, life sciences, medicine, and finance.

Researchers at Pawsey are preparing to delve into quantum machine learning, which merges quantum computing with artificial intelligence to process information in new ways. They will also simulate chemical interactions, process radio astronomy images, analyze complex financial systems, and push forward bioinformatics for medical research.

To support these ambitious projects, the NVIDIA Grace Hopper Superchip nodes will be built using NVIDIA’s MGX modular architecture. This architecture is known for its high bandwidth and performance, which are essential for tackling the intricate challenges presented by quantum computing.

The partnership also has a goal of fostering an inclusive environment by providing the Australian quantum community and international collaborators with access to the NVIDIA Grace Hopper platform. This open access is expected to spur discovery and innovation, representing a transformative step for researchers and industries alike.

The collaboration between NVIDIA and the Pawsey Supercomputing Centre is set to drive significant advancements in quantum computing research. By providing researchers with advanced tools and resources, this partnership not only strengthens Australia’s position in the global quantum field but also holds promise for the scientific and economic benefits that this emerging technology is expected to yield.

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IBM watsonx Korea Quantum Computing (KQC) deal sealed

Korea Quantum Computing Signs IBM watsonx Deal

IBM has teamed up with Korea Quantum Computing (KQC) in a strategic partnership that’s set to advance on some computing. This alliance is not just a handshake between two companies; it’s a fusion of IBM’s trailblazing AI software and quantum computing services with KQC’s ambition to push the boundaries of technology.

“We are excited to work with KQC to deploy AI and quantum systems to drive innovation across Korean industries. With this engagement, KQC clients will have the ability to train, fine-tune, and deploy advanced AI models, using IBM watsonx and advanced AI infrastructure. Additionally, by having the opportunity to access IBM quantum systems over the cloud, today—and a next-generation quantum system in the coming years—KQC members will be able to combine the power of AI and quantum to develop new applications to address their industries’ toughest problems,” said Darío Gil, IBM Senior Vice President and Director of Research.

This collaboration includes an investment in infrastructure to support the development and deployment of generative AI. Plans for the AI-optimized infrastructure includes advanced GPUs and IBM’s Artificial Intelligence Unit (AIU), managed with Red Hat OpenShift to provide a cloud-native environment. Together, the GPU system and AIU combination is being engineered to offer members state-of-the-art hardware to power AI research and business opportunities.

Quantum Computing

That’s the vision KQC is chasing, and by 2028, they plan to bring this vision to life by installing an IBM Quantum System Two right in their Busan site. This isn’t just about getting their hands on new gadgets; it’s about weaving quantum computing into the very fabric of mainstream applications. To make this a reality, KQC is already on the move, beefing up their infrastructure with the latest GPUs and IBM’s AI Unit, all fine-tuned for AI applications that will redefine what’s possible.

But what’s advanced technology without a solid foundation? That’s where Red Hat OpenShift comes into play. It’s the backbone that will ensure this complex infrastructure stands strong, offering the scalable cloud services that KQC needs to manage their high-tech setup. And it doesn’t stop there. KQC is also diving into the world of Red Hat OpenShift AI for management and runtime, and they’re exploring the frontiers of generative AI technologies with the WatsonX platform. These are the tools that will fuel the next wave of innovation and efficiency in AI.

Now, let’s talk about the ripple effect. This partnership isn’t just about KQC and IBM; it’s about sparking a fire of innovation across entire industries. Korean companies in finance, healthcare, and pharmaceuticals are joining the fray, eager to collaborate on research that leverages AI and quantum computing. The goal? To craft new applications that will catapult these industries into a new era of technological prowess.

The KQC-IBM partnership is more than a milestone for Korea’s tech landscape; it’s a beacon that signals a new dawn in the application of AI and quantum computing. With the integration of Red Hat OpenShift and the WatsonX platform, KQC is not just boosting its capabilities; it’s setting the stage for groundbreaking research and innovation. This collaboration is a testament to the power of partnership and the shared commitment to sculpting the future of industries with the finest technology at our fingertips.

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Quantum computing Hype vs Reality explained

Quantum Computing Hype vs Reality explained

Quantum computing is a term that has been generating a lot of excitement in the tech world. This cutting-edge field is different from the computing most of us are familiar with, which uses bits to process information. Quantum computers use something called qubits, which allow them to perform complex calculations much faster than current computers. While quantum computing is still in its early stages and not yet part of our everyday lives, it’s showing great potential for specialized uses.

One of the leaders in this field is Google Quantum AI, which has developed one of the most sophisticated quantum processors so far. Their work is a testament to it’s researchers commitment to advancing the industry. However, quantum computing is still largely in the research phase, and it will likely be several years before it becomes more mainstream.

Experts in the industry believe that it could take a decade or more before we have quantum computers that are fully functional and error-free, capable of handling practical tasks. This timeline is similar to the development of classical computers, which gradually became more powerful and useful over time.

Google Research Quantum Computing

Learn more about quantum computing as Google Research explains more about the hype and reality of the cutting-edge computer technology that is still under development. As quantum computing continues to develop, we’re starting to see more applications for this technology. It’s expected that quantum systems will enhance, rather than replace, traditional computers, increasing our overall computing capabilities.

Here are some other articles you may find of interest on the subject of  quantum computing :

The potential for quantum computing to transform various industries is immense. It could greatly improve research in fusion energy by making simulations more efficient and reducing the amount of computation needed. In healthcare, it could speed up the process of modeling new drugs. Quantum computing might also lead to better battery technology by optimizing electrochemical simulations, which could result in more effective energy storage solutions and help produce more environmentally friendly fertilizers.

Hype vs Reality

History has shown us that new technologies often lead to applications that we didn’t anticipate. As quantum computing technology continues to evolve, its full potential will become clearer. Quantum computing represents a significant shift in computational capabilities, promising to solve problems intractable for classical computers. However, the field is in its nascent stages, and there’s often a gap between public perception (hype) and the current state of technology (reality). Here’s a comprehensive explanation, distinguishing between the hype and reality of quantum computing:

Quantum Computer Hype :

  • Instant Problem Solving: A common misconception is that quantum computers can instantly solve extremely complex problems, like breaking encryption or solving intricate scientific issues, which traditional computers cannot.
  • Universal Application: There’s a belief that quantum computers will replace classical computers for all tasks, offering superior performance in every computing aspect.
  • Imminent Revolution: The public often perceives that quantum computing is just around the corner, ready to revolutionize industries in the immediate future.
  • Unlimited Capabilities: The hype often implies that there are no theoretical or practical limits to what quantum computing can achieve.

Quantum Computing Reality :

  • Specialized Problem Solving: Quantum computers excel at specific types of problems, such as factorization (useful in cryptography) or simulation of quantum systems. They are not universally superior for all computational tasks.
  • Niche Applications: Currently, quantum computers are suited for particular niches where they can leverage quantum mechanics to outperform classical computers. This includes areas like cryptography, materials science, and complex system modeling.
  • Developmental Stage: As of now, quantum computing is in a developmental phase. Key challenges like error correction, coherence time, and qubit scalability need to be addressed before widespread practical application.
  • Physical and Theoretical Limits: Quantum computers face significant physical and engineering challenges. These include maintaining qubit stability (decoherence) and managing error rates, which grow with the number of qubits and operations.
  • Quantum Supremacy vs. Quantum Advantage: While quantum supremacy (a quantum computer solving a problem faster than a classical computer could, regardless of practical utility) has been claimed, the more crucial milestone of quantum advantage (practical and significant computational improvements in real-world problems) is still a work in progress.
  • Hybrid Systems: The foreseeable future likely involves hybrid systems where quantum and classical computers work in tandem, leveraging the strengths of each for different components of complex problems.
  • Investment and Research: Significant investment and research are ongoing, with breakthroughs happening at a steady pace. However, it’s a field marked by incremental progress rather than sudden leaps.
  • Ethical and Security Implications: The rise of quantum computing brings ethical considerations, particularly in cybersecurity (e.g., breaking current encryption methods) and data privacy. It necessitates the development of new cryptographic methods (quantum cryptography).

The excitement around quantum computing is not without merit. Each new discovery moves us closer to what once seemed like the stuff of science fiction. The progress made by Google Quantum AI and others in this field is a strong sign of the transformative power of quantum computing.

Quantum computing is still in its infancy, but the advancements made by Google and other pioneers are steadily paving the way for a future that includes quantum computation. Although the current state of quantum computing may not live up to the high expectations some have for it, the potential applications and ongoing research suggest that it could indeed live up to its promise in the years to come.

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Artificial Intelligence vs Quantum Computing

Artificial Intelligence vs Quantum Computers

In the ever-evolving world of technology, two titans are making strides that could transform how we tackle some of the most challenging issues facing our society, including the pressing matter of climate change. Artificial intelligence (AI) and quantum computers stand at the forefront of this technological revolution, each with its own set of strengths and weaknesses. But in the fight between Artificial Intelligence vs Quantum Computing will the two technologies combine or will one proved to be a more cost-effective solution to solving the problems of planet Earth?

Quantum computing is a fascinating concept that has intrigued many with its potential to surpass traditional computing methods. It operates on the principles of quantum mechanics, utilizing qubits that can represent numerous states simultaneously, which could allow it to solve certain problems at speeds we’ve never seen before. However, the technology is still in its infancy, and it faces significant hurdles, such as error correction, which can undermine the very speed it promises.

Meanwhile, AI is making waves by enhancing the capabilities of classical computers. These advancements are enabling computers to become smarter and more efficient, capable of handling complex tasks with relative ease. As AI continues to evolve, it pushes the threshold at which quantum computing would become superior even further into the future, making classical computing a tough competitor to beat.

Artificial Intelligence vs Quantum Computing

Here are some other articles you may find of interest on the subject of quantum computing :

Despite the challenges that quantum computing currently faces, its theoretical potential is immense. The unique abilities of qubits might one day allow quantum computers to process information in ways that classical computers cannot, offering solutions to problems that are currently unsolvable. However, at this point in time, AI-driven classical computing is the more viable option for solving real-world problems.

The progress in AI is remarkable, with algorithms becoming increasingly sophisticated. These advancements are empowering classical computers to learn and adapt, solving problems with an efficiency that is difficult to surpass. This rapid growth in AI technology presents a significant hurdle for quantum computing to demonstrate its worth.

Quantum computers

For those interested in the finer details of quantum computing, there are educational resources available, such as courses on brilliant.org, that provide a deeper understanding of the subject. These courses explain complex concepts like interference, superpositions, and entanglement in a way that lays the foundation for a greater appreciation of what quantum technology could one day achieve.

While quantum computing offers an exciting look into the future of problem-solving, its practicality in the present day remains uncertain. AI, on the other hand, continues to expand the capabilities of classical computers, ensuring their place as a vital component in our current technological arsenal. The race between AI and quantum computing is far from over, but for now, AI is leading the way with its practicality and efficiency.

Future technologies

As we look to the future, it’s clear that both AI and quantum computing will play critical roles in advancing our technological capabilities. The question is not whether one will ultimately prove more valuable than the other, but how they will work together to address the complex challenges we face. The potential for AI to enhance quantum computing, and vice versa, suggests that the most effective solutions may come from a synergy of these two powerful technologies.

The journey toward fully realizing the capabilities of quantum computing is a long one, and it’s fraught with technical obstacles that researchers are diligently working to overcome. The quest for stable qubits, effective error correction methods, and scalable quantum systems is ongoing, and each breakthrough brings us closer to harnessing the true power of quantum computing.

AI algorithms

In the meantime, AI is not standing still. It’s being integrated into various industries, revolutionizing fields such as healthcare, finance, and transportation. AI algorithms are becoming more autonomous, learning from data in ways that mimic human cognition, and in some cases, even surpassing it.

The interplay between AI and quantum computing is a testament to the incredible ingenuity of scientists and engineers who are pushing the boundaries of what’s possible. As we continue to explore these technologies, we can expect to see a landscape of problem-solving that is more sophisticated, more efficient, and more capable of addressing the needs of a rapidly changing world.

Ultimately, the future of problem-solving lies in the hands of these two technological giants. Whether it’s through the sheer computational might of quantum computing or the intelligent adaptability of AI, the solutions to some of our most pressing problems may be closer than we think. As we stand on the cusp of these Artificial Intelligence vs Quantum Computers advancements, it’s an exciting time to be a part of the journey toward a smarter, more capable future.

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Rigetti Novera QPU Quantum computer CPU processor launches

Rigetti Novera QPU Quantum CPU launches

In the rapidly evolving world of quantum computing, Rigetti Computing, Inc. has taken a bold step forward with the introduction of their latest innovation, the Novera Quantum Processing Unit (QPU). This new 9-qubit processor is a testament to Rigetti’s commitment to pushing the boundaries of what’s possible in quantum technology. The Novera QPU emerges from the Ankaa-class architecture and is a product of the company’s own Fab-1 facility, highlighting their ability to not only design but also manufacture cutting-edge quantum devices.

The Novera QPU is tailored for researchers and professionals who are at the forefront of quantum computing exploration. With a price tag of $900,000, it offers these experts on-premise access to some of the most advanced quantum technology available today. This access allows users to delve into quantum computation right within their own institutions, opening up new possibilities for discovery and innovation.

At the heart of the Novera QPU is a 9-qubit chip arranged in a 3×3 grid. This chip features tunable transmons, which are a type of superconducting qubit known for their stability and coherence. Additionally, the Novera comes with a simpler 5-qubit chip designed specifically for honing single-qubit operations. The processor is complemented by a full suite of components including a puck, tower, shields, payload brackets, and signal conditioning devices, all of which work together to ensure the processor operates at its best.

QPU Quantum processor

If you would like to learn more about how quantum computing works check out our previous article.

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But the Novera QPU quantum computer processor is more than a collection of hardware. It represents a gateway to the world of universal, gate-based quantum computing. The processor is engineered to assist in the creation and testing of hybrid quantum algorithms. It also supports critical research in areas such as error mitigation and quantum error correction, which are essential for the development of reliable quantum computing systems.

The Novera QPU is particularly beneficial for organizations that are working on developing components for the quantum computing stack. Its design ensures that it is compatible with standard commercial dilution refrigerators and control systems, which means it can be easily integrated into existing quantum computing setups without the need for extensive modifications.

With the launch of the Novera QPU, Rigetti Computing is reinforcing its role as a leader in the quantum computing industry. By providing a powerful and versatile processor, Rigetti is enabling the scientific community to take significant strides in quantum research and the development of practical applications. The Novera QPU is a step toward a future where quantum computing is more accessible and has the potential to unlock new capabilities across various fields of study and industry.

Quantum computing is a field that promises to transform the way we solve complex problems, from drug discovery to cryptography. The Novera QPU’s introduction is a clear signal that Rigetti Computing is not only participating in this transformation but is also actively facilitating it. As the quantum landscape continues to expand, tools like the Novera QPU will be at the forefront, helping to translate theoretical quantum advancements into tangible benefits for society. Rigetti’s latest offering is a significant contribution to the quantum community and a clear indication of the company’s dedication to advancing this exciting field.

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New Helium 1 16-Qubit Quantum processing unit unveiled

New Helium 1 16-Qubit Quantum processing unit unveiled

In the world of quantum computing, a significant stride has been made with the unveiling of the Helium 1, a 16-qubit quantum processing unit (QPU) by Alice & Bob. This groundbreaking technology aims to revolutionize the quantum computing field through its potential to significantly lower error rates. The Paris and Boston-based start-up, Alice & Bob, is no stranger to the quantum computing world, having consistently demonstrated its expertise and achievements in cat qubit technology.

The Helium 1 is a testament to Alice & Bob’s pioneering efforts in the quantum computing industry. This 16-qubit QPU is the first chip in the company’s roadmap that harnesses the power of cat qubits to run an error correction code. Cat qubits are unique in their design, offering protection from bit flips, thus making them hardware efficient and enabling logical qubit designs using significantly fewer qubits.

16-Qubit Quantum processing unit

The company’s ambitious goal is to use the Helium 1 platform to create its first logical qubit with error rates lower than any existing single physical qubit. The quantum industry is gradually shifting its focus towards demonstrating logical qubits, which have significant advantages over physical qubits. Logical qubits are essential for achieving low error rates in fault-tolerant quantum computing, marking a significant milestone in the journey towards the realization of practical quantum computing.

Alice & Bob’s CEO, Théau Peronnin, has expressed confidence in their cat qubit technology, stating that it holds world records in addressing bit flips. He further emphasized that the Helium 1 will play a crucial role in suppressing the remaining errors. This aligns with the company’s vision for the “six-nines” logical qubit, aiming for a logical error rate of 10-6 or lower.

“Our cat qubit technology already holds world records in addressing bit flips,” said Théau Peronnin, CEO of Alice & Bob. “Helium 1 is our new platform to exponentially suppress the remaining errors as we add more depth, enabling us to deliver on our clear roadmap to reach the full computational potential of quantum computers.”

Currently, the Helium 1 chip is in a characterization and calibration phase. Once this phase is complete, the chip will be released on the cloud, marking a significant step forward in Alice & Bob’s journey towards creating the first universal, fault-tolerant quantum computer.

Alice & Bob’s expertise in cat qubits technology has not only resulted in the development of the Helium 1 but also led to a significant reduction in hardware requirements compared to other approaches. The company recently demonstrated that the number of qubits required to run Shor’s algorithm could be reduced from 20 million to 350 thousand with a cat qubit-based system.

Since its inception in 2020, Alice & Bob has made remarkable strides in the quantum computing field. The company has raised 30M€ in funding, hired over 80 employees, and demonstrated experimental results exceeding those of tech giants like Google or IBM. With the unveiling of the Helium 1, Alice & Bob is poised to push the boundaries of quantum computing even further.

The release of Alice & Bob’s new 16-qubit quantum processing unit, Helium 1, marks a significant milestone in the journey towards achieving lower error rates in quantum computing. Through the use of cat qubits and error correction codes, the company is paving the way for the development of the first error-corrected, logical qubit. Alice & Bob’s expertise and achievements in cat qubit technology remain at the forefront of this exciting new era in quantum computing.

Where does the name Alice and Bob come from?

Alice and Bob are fictional characters originally invented to make research in cryptology easier to understand. In a now-famous paper (“A method for obtaining digital signatures and public-key cryptosystems”), authors Ron Rivest, Adi Shamir, and Leonard Adleman described exchanges between a sender and receiver of information as follows: “For our scenarios we suppose that A and B (also known as Alice and Bob) are two users of a public-key cryptosystem.” In that instant, Alice and Bob were born.

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IBM System Two Quantum Computer unveiled crosses 1000 Qubits threshold

IBM System Two Quantum Computer

In the rapidly evolving world of quantum computing, IBM is making significant strides. Recently announcing that its latest quantum processor, the IBM Condor, which boasts 1,121 qubits, a significant increase from the previous 433-qubit chip. This development aligns with IBM’s projected quantum roadmap. Qubits, the fundamental units of quantum computers, enable significantly faster calculations than traditional computers when entangled. However, the sheer number of qubits is not the sole indicator of a quantum computer’s performance.

This cutting-edge field, once confined to theoretical research, is now seeing practical applications that could transform how we tackle complex problems. The IBM Quantum System Two, a new system that houses the Condor, is a marvel of engineering. Enclosed in a 15-foot structure, it operates in conditions that mimic the extreme cold of outer space. Initially, it will run on three 133-qubit Heron processors, but its design is future-proof, ready to integrate subsequent technological leaps.

IBM Quantum System Two computer

One of the most impressive features of the Quantum System Two is its modular architecture. This design is key to its ability to perform an astounding 100 million operations within a single quantum circuit. IBM isn’t stopping there; they have set their sights on scaling up to 1 billion operations by the year 2033.

To support the people who will develop the future of quantum computing, IBM has released Qiskit 1.0, a software development kit (SDK) that enhances the tools available to developers. This SDK makes it easier to compile quantum circuits with the help of artificial intelligence and introduces a batch mode that streamlines job execution. These improvements are designed to make the quantum computing workflow more user-friendly.

IBM is also focused on building a robust quantum computing ecosystem. They are doing this by developing resources like Qiskit Patterns and Quantum Serverless, which aid in the creation of algorithms and applications. Additionally, IBM is pioneering the integration of generative AI into quantum code programming through Watsonx, showcasing the synergy between artificial intelligence and quantum computing.

IBM Condor Qubit processor

At the forefront of this advancement is IBM’s latest creation, the IBM Condor, a powerful 1,121-qubit processor that is setting new benchmarks in computational capabilities. The IBM Condor’s large number of qubits is a clear indication of the progress IBM has made on their quantum computing roadmap. The power of a quantum computer comes from the entanglement of qubits, which allows for an exponential increase in computational capabilities. This means that quantum computers can address problems that are currently beyond the reach of classical computers.

Creating a quantum processor like the IBM Condor involves complex superconducting circuits that are etched onto silicon wafers. This is a crucial step in the advancement of quantum computing technology. However, it’s not just about having a large number of qubits. It’s also essential to achieve low error rates and maintain high fidelity in the operations of these qubits for them to be practically applied.

Although the qubit count of the IBM Condor is noteworthy, IBM has not yet shared detailed performance data for this new processor. The company has previously emphasized the importance of ‘quantum volume’ as a metric, which takes into account not only the number of qubits but also their quality, connectivity, and the error rates of operations. This metric has not been updated since 2020, leaving us waiting for more information on the processor’s capabilities.

1000 Qubits threshold crossed what does that mean?

The potential uses for the IBM Condor are still being explored. Experts in the field suggest that quantum computing will require millions of qubits to become commercially viable. This means that, despite the advancements the IBM Condor represents, there is still a long way to go before quantum computing can transform various industries. Here are some other articles you may find of interest on the subject of Quantum computing :

As we consider IBM’s latest development, it’s crucial to remember that the promise of quantum computing is not solely based on the number of qubits. It also includes the complexity of their interconnections and the accuracy with which they can be manipulated. The IBM Condor is a sign of the progress being made in quantum computing and signals the approach of a new era in this exciting field.

Quantum computing is an area of technology that has the potential to transform how we solve complex problems. Unlike traditional computers that use bits to process information, quantum computers use qubits, which can exist in multiple states simultaneously. This allows them to perform many calculations at once, providing a level of processing power that’s unattainable with current classical computers.

IBM’s unveiling of the IBM Condor quantum processor with 1,121 qubits is a testament to the rapid advancements in quantum technology. The IBM Condor represents a significant leap from IBM’s previous quantum processors and is a key milestone on their roadmap for the development of quantum computing.

The power of quantum computing lies in the ability of qubits to be entangled, which allows for an exponential increase in computational capabilities. This entanglement enables quantum computers to tackle problems that are currently unsolvable by traditional computers. The IBM Condor’s large number of qubits is a clear indication of the progress IBM has made in this area.

However, the number of qubits is not the only challenge in quantum computing. Achieving low error rates and maintaining high fidelity in qubit operations are also critical for the practical application of quantum processors. While the qubit count of the IBM Condor is impressive, IBM has yet to release detailed performance data for the processor. The company has previously highlighted ‘quantum volume’ as an important metric, which considers the number of qubits, their quality, connectivity, and the error rates of operations. This metric has not been updated since 2020, leaving us waiting for more information on the processor’s capabilities.

Looking ahead, IBM has laid out a comprehensive roadmap that extends to 2033. This plan includes a series of enhancements to their quantum computing systems, which will eventually feature processors with over 100 qubits. IBM is also forging partnerships with research institutions to explore quantum-powered applications.

IBM’s dedication to quantum computing is not just about technological prowess; it’s about providing enterprise solutions that are tailored to specific industries. As IBM’s quantum computing technology matures, it opens up possibilities for addressing some of the most challenging issues facing the world today. The advancements IBM is making today are paving the way for a future where quantum computing plays a pivotal role in solving complex problems and unlocking new opportunities.

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Advancing Quantum Classical Computing with CUDA Quantum 0.5

Advancing Quantum Classical Computing with CUDA Quantum 0.5

Quantum-classical computing applications are rapidly evolving, with the CUDA Quantum platform playing an instrumental role in this development. The open-source platform is designed to facilitate the building of quantum-classical computing applications, compatible with quantum processor units (QPUs), GPUs, and CPUs. The latest release, CUDA Quantum 0.5, introduces a host of new features and improvements, making it a crucial tool in the realm of heterogeneous computing.

CUDA Quantum accelerates workflows in quantum simulation, quantum machine learning, and quantum chemistry by harnessing the power of GPUs. This acceleration is essential as it allows for more efficient and faster computations, enabling researchers and developers to solve complex problems more quickly. With the latest release, CUDA Quantum 0.5, the platform has broadened its scope, introducing more QPUs backends, more simulators, and other enhancements to streamline quantum-classical computing applications development.

CUDA Quantum 0.5

One of the key improvements is the platform’s support for running adaptive quantum kernels, a specification from the Quantum Integrated Runtime (QIR) alliance. This is a significant step towards integrated quantum-classical programming, a concept that combines classical and quantum computing principles to solve complex problems more efficiently.

CUDA Quantum 0.5 also introduces new kernels for quantum chemistry simulations, including Fermionic and Givens rotation and fermionic SWAP kernels. These kernels are instrumental in performing intricate calculations and simulations in the field of quantum chemistry. Furthermore, the platform now supports exponentials of Pauli matrices, which are useful for quantum simulations of physical systems and for developing quantum algorithms for optimization problems.

Quantum Computers

In terms of data handling, CUDA Quantum 0.5 has improved its support for std::vector and (C style) arrays. This enhanced support allows for more flexible and efficient data management, crucial for handling large data sets in quantum computing applications. The platform also now supports execution of for-and while-loops of known lengths on quantum hardware backends, a feature that enhances the efficiency of loop execution in quantum algorithms.

The new release of CUDA Quantum also expands its compatibility with different quantum hardware backends. IQM and Oxford Quantum Circuits (OQC) quantum computers are now supported as QPU backends in CUDA Quantum, joining the already supported quantum computers from Quantinuum and IonQ. This wider range of supported hardware opens up more possibilities for developers and researchers to run their quantum algorithms on different quantum hardware platforms.

Getting started with Quantum Classical Computing

Finally, CUDA Quantum 0.5 has also made significant strides in the area of quantum simulators. The platform has improved its tensor network-based simulators, which are suitable for large-scale simulation of certain classes of quantum circuits. Furthermore, a matrix product state (MPS) simulator has been added to CUDA Quantum. MPS simulators can handle a large number of qubits and more gate depth for certain classes of quantum circuits on a relatively small memory footprint, making them a valuable tool for quantum computing simulations.

The latest release of CUDA Quantum, with its host of new features and improvements, is a significant milestone in the development of quantum-classical computing applications. By providing a platform that supports a variety of quantum hardware, offers advanced kernels for quantum simulations, and improves data handling and simulation capabilities, CUDA Quantum 0.5 is paving the way for the future of quantum-classical computing.

If you would like to get started with CUDA Quantum NVIDIA has created a introductory guide on getting started with CUDA Quantum taking you step-by-step with Python and C++ examples that provide a quick learning path for CUDA Quantum capabilities.

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NVIDIA and IQM Quantum Computers

NVIDIA and IQM Quantum Computers

The quantum computing field is on the cusp of a significant transformation, thanks to a pioneering partnership between IQM Quantum Computers and NVIDIA. This collaboration aims to advance the development of hybrid quantum applications, leveraging the capabilities of NVIDIA CUDA Quantum. This open-source platform is specifically designed to streamline the integration and programming of quantum processing units (QPUs), marking a new chapter in quantum computing.

This partnership is a significant leap forward in the quantum computing field. IQM, a leader in providing cutting-edge computing systems that utilize quantum bits, is known for its innovative approach to quantum computing. NVIDIA, on the other hand, is a global leader in GPU supercomputing and machine learning, making it an excellent partner for IQM in this ambitious project.

The primary goal of this collaboration is to advance the development of hybrid quantum applications using NVIDIA CUDA Quantum. CUDA Quantum is an open-source platform that simplifies the integration and programming of QPUs. This platform is set to revolutionize the development and application of quantum computing, enabling users of IQM’s QPUs across various industries and research institutions to develop the next generation of hybrid quantum-classical applications.

Quantum Computers

Another key objective of this partnership is to speed up the development and application of quantum computing. By leveraging the capabilities of CUDA Quantum, the partnership aims to accelerate the evolution and application of quantum computing across various fields. This will not only stimulate innovation but also pave the way for potential scientific and industrial breakthroughs.

Prominent institutions such as the CSC – IT Centre for Science and the VTT Technical Research Centre of Finland are already planning to use CUDA Quantum on VTT’s 5-qubit quantum computer. This quantum computer, a joint venture between IQM and VTT, demonstrates the potential of quantum computing innovation. Other articles we have written that you may find of interest on the subject :

Looking ahead, IQM is dedicated to making the integration of quantum and classical systems more accessible to experts. The company is focusing on quantum-accelerated supercomputing, a concept that combines the power of traditional supercomputing with the unique capabilities of quantum computing. This could have significant implications across various sectors, including cybersecurity and drug and chemical research.

The partnership between IQM Quantum Computers and NVIDIA is set to reshape the quantum computing landscape. By driving the development of hybrid quantum applications through NVIDIA CUDA Quantum, this collaboration is poised to accelerate the evolution and application of quantum computing, laying the groundwork for future innovations and breakthroughs. With leading institutions already planning to use CUDA Quantum, and a future focus on quantum-accelerated supercomputing, the potential of this collaboration is truly exciting.

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IBM Quantum System One PINQ² quantum computer

IBM Quantum System One PINQ quantum computer

The inauguration of an IBM Quantum System One in Quebec by the Platform for Digital and Quantum Innovation of Quebec (PINQ²) has marked a significant milestone in the field of information technology and innovation. This development has not only strengthened Quebec’s and Canada’s position in the rapidly advancing field of quantum computing but also opened new prospects for the technological future of the province and the country.

The establishment of the IBM Quantum System One in Quebec by PINQ², a non-profit organization founded by the Ministry of Economy, Innovation and Energy of Quebec and the Université de Sherbrooke, in collaboration with IBM, is a significant step forward. The quantum computer is housed at IBM Bromont, making PINQ² the only administrator to operate an IBM Quantum System One in Canada. This unique position has positioned Quebec as the only place outside of the United States to be engaged in an IBM Discovery Accelerator.

IBM Quantum System One

The new quantum computer will promote the growth of Quebec’s quantum sciences ecosystem and the development of DistriQ innovation zones in Sherbrooke and Technum Québec in Bromont. These innovation zones will have access to cutting-edge technology, fostering a conducive environment for technological advancements and research.

PINQ² has also set up a high-performance computing centre (HPC) at the Humano District in Sherbrooke. This will enable PINQ² to offer a hybrid computing approach, providing businesses with a unique opportunity to access a full range of hybrid quantum computing services. This approach combines the best of classical and quantum computing, offering a more efficient and powerful computing solution.

In a bid to explore quantum computing solutions for sustainability challenges, PINQ² and IBM will lead a world-class quantum working group. This group will be supported by founding members Hydro-Québec and the Université de Sherbrooke, further strengthening the collaboration between academia and industry in the field of quantum computing.

To accelerate the adoption of quantum technologies, PINQ² is establishing a Centre of Excellence. This centre will provide accessible access to its infrastructure for businesses and researchers, fostering a community dedicated to quantum software. The Centre of Excellence aims to make quantum software easier to use, create, and foster dynamic collaboration, all while setting industry benchmarks in software engineering.

IBM Quantum System One being installed in Japan

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Quantum computer

PINQ² is also working with a network of Canadian academic partners such as IVADO, Université de Sherbrooke, University of Saskatchewan, Quantum Algorithms Institute and Concordia University. This collaboration aims to train quantum talent and foster collaborative projects, further strengthening Canada’s position in the field of quantum computing.

In addition to these initiatives, PINQ² is creating a multidisciplinary team through the Centre of Excellence in Quantum Hybrid Software Engineering. This team will accelerate the development of quantum business solutions, contributing to the technological revolution and offering valuable services for businesses.

The IBM Quantum System One is the first integrated quantum system with a compact design optimized for stability, reliability and continuous use. It has been deployed in Germany, Japan, the United States and now Canada, marking the creation of the world’s largest commercial quantum research infrastructure.

Next generation System Two

The inauguration of the IBM Quantum System One by PINQ² in Quebec is a significant development that strengthens Quebec’s and Canada’s position in the field of quantum computing. It offers numerous opportunities for businesses, researchers, and the innovation zones of DistriQ and Technum Québec. Through its various initiatives and partnerships, PINQ² is playing a crucial role in the technological revolution, fostering the growth of the quantum sciences ecosystem in Quebec and Canada.

Source : IBM

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