Archive for the ‘Quantum Computer’ Category

IBM Unveils Advanced 133-Qubit Quantum Processor IBM Quantum Heron and Quantum System Two – guru3d.com

IBM has introduced its latest quantum computing achievement, the "IBM Quantum Heron," at the IBM Quantum Summit 2023 event. This 133-qubit processor, developed over four years, represents a significant leap in quantum computing technology. By incorporating a novel architecture and enhancing gate operation, IBM has managed to achieve a remarkable reduction in errors, up to five times less compared to its previous 127-qubit processor, the "IBM Quantum Eagle."

The "IBM Quantum Heron" is hailed as one of the world's most high-performance quantum processors due to its innovative design and error-reduction capabilities. This milestone reflects IBM's commitment to pushing the boundaries of quantum computing.

Furthermore, IBM has officially launched its inaugural modular quantum computer, the "IBM Quantum System Two." This utility-scale quantum computing system is equipped with three IBM Quantum Heron processors and accompanying control electronics. By linking multiple modules together, this system can execute a single quantum circuit with a capacity of up to 100 million operations. IBM's long-term vision is to expand this capability to achieve an impressive 1 billion operations, marking a significant advancement in the era of quantum utility.

For more detailed information, please visit IBM's official press release: "IBM Debuts Next-Generation Quantum Processor & IBM Quantum System Two, Extends Roadmap to Advance Era of Quantum Utility."

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IBM Unveils Advanced 133-Qubit Quantum Processor IBM Quantum Heron and Quantum System Two - guru3d.com

133qubit Quantum Heron launched by IBM – Electronics Weekly

IBM also unveiled IBM Quantum System Two, the companys first modular quantum computer and cornerstone of IBMs quantum-centric supercomputing architecture. The first IBM Quantum System Two, located in Yorktown Heights, New York, has begun operations with three IBM Heron processors and supporting control electronics

With this critical foundation now in place, along with other breakthroughs in quantum hardware, theory, and software, the company is extending its IBM Quantum Development Roadmap to 2033 with new targets to significantly advance the quality of gate operations. Doing so would increase the size of quantum circuits able to be run and help to realize the full potential of quantum computing at scale.

We are firmly within the era in which quantum computers are being used as a tool to explore new frontiers of science, said Dario Gil, IBM SVP and Director of Research. As we continue to advance how quantum systems can scale and deliver value through modular architectures, we will further increase the quality of a utility-scale quantum technology stack and put it into the hands of our users and partners who will push the boundaries of more complex problems.

As demonstrated by IBM earlier this year on a 127-qubit IBM Quantum Eagle processor, IBM Quantum systems can now serve as a scientific tool to explore utility-scale classes of problems in chemistry, physics, and materials beyond brute force classical simulation of quantum mechanics.

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IBM Quantum System Two is the foundation of IBMs next generation quantum computing system architecture. It combines scalable cryogenic infrastructure and classical runtime servers with modular qubit control electronics.

The new system is a building block for IBMs 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 ten-year IBM Quantum Development Roadmap, IBM plans for this system to also house IBMs 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.

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, 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 more easily create code. 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.

Additionally, IBM is pioneering the use of generative AI for quantum code programming through watsonx, IBMs 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.

With advanced hardware across IBMs 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.

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133qubit Quantum Heron launched by IBM - Electronics Weekly

IBM showcases quantum computing chip with 2033 target for large computer systems – Proactive Investors USA

About Andrew Kessel

Andrew is a financial journalist with experience covering public companies in a wide breadth of industries, including tech, medicine, cryptocurrency, mining and retail. In addition to Proactive, he has been published in a Financial Times-owned newsletter covering broker-dealer firms and in the Columbia Misourian newspaper as the lead reporter focused on higher education. He got his start with an internship at Rolling Stone magazine. Read more

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IBM showcases quantum computing chip with 2033 target for large computer systems - Proactive Investors USA

IBM brings ‘utility-scale’ quantum computing to Japan as China and Europe struggle to compete – Cointelegraph

IBM announced the completed installation of a 127-qubit quantum computing system at the University of Tokyo on Nov. 27. According to the company, this marks the arrival of the first utility-scale quantum system in the region.

The system, dubbed a Quantum System One by IBM and featuring the companys Eagle processor, was installed as part of an ongoing research partnership between Japan and IBM. According to a blog post from IBM, it will be used to conduct research in various fields, including bioinformatics, materials science and finance.

Per Hiroaki Aihara, executive vice president of the University of Tokyo:

While Japan and the University of Tokyo reap the benefits of working with a U.S. quantum computing partner, Chinas second-largest technology firm, Alibaba, has decided to shutter its own quantum computing laboratory and will reportedly donate its equipment to Zhejiang University.

Local media reports indicate the Alibaba move is a cost-cutting measure and that dozens of employees associated with the quantum research lab have been laid off. This follows the cancellation of a planned cloud computing spinoff earlier this month, with Alibaba stating that thepartial United States export ban on computer chips to China has contributed to uncertainty.

Related: US official confirms military concerns over Chinas access to cloud technology

The quantum computing sector is expected to grow by more than $5.5 billion between 2023 and 2030, according to estimates from Fortune Business Insights. This has led some experts to worry over the state of quantum computing research in areas outside of the U.S. and China.

Koen Bertels, founder of quantum computing accelerator QBee and a professor at the University of Ghent in Belgium, recently opined that Europe had already lost the artificial intelligence race and couldnt afford to lose at quantum computing.

In addition to being behind in funding, talent, and strategy, wrote Bertels, Europe isnt only competing against the US.

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IBM brings 'utility-scale' quantum computing to Japan as China and Europe struggle to compete - Cointelegraph

Quantum Advantage: A Physicist Explains The Future of Computers – ScienceAlert

Quantum advantage is the milestone the field of quantum computing is fervently working toward, where a quantum computer can solve problems that are beyond the reach of the most powerful non-quantum, or classical, computers.

Quantum refers to the scale of atoms and molecules where the laws of physics as we experience them break down and a different, counterintuitive set of laws apply. Quantum computers take advantage of these strange behaviors to solve problems.

There are some types of problems that are impractical for classical computers to solve, such as cracking state-of-the-art encryption algorithms. Research in recent decades has shown that quantum computers have the potential to solve some of these problems.

If a quantum computer can be built that actually does solve one of these problems, it will have demonstrated quantum advantage.

I am a physicist who studies quantum information processing and the control of quantum systems.

I believe that this frontier of scientific and technological innovation not only promises groundbreaking advances in computation but also represents a broader surge in quantum technology, including significant advancements in quantum cryptography and quantum sensing.

Central to quantum computing is the quantum bit, or qubit. Unlike classical bits, which can only be in states of 0 or 1, a qubit can be in any state that is some combination of 0 and 1. This state of neither just 1 or just 0 is known as a quantum superposition. With every additional qubit, the number of states that can be represented by the qubits doubles.

This property is often mistaken for the source of the power of quantum computing. Instead, it comes down to an intricate interplay of superposition, interference and entanglement.

Interference involves manipulating qubits so that their states combine constructively during computations to amplify correct solutions and destructively to suppress the wrong answers.

Constructive interference is what happens when the peaks of two waves like sound waves or ocean waves combine to create a higher peak. Destructive interference is what happens when a wave peak and a wave trough combine and cancel each other out.

Quantum algorithms, which are few and difficult to devise, set up a sequence of interference patterns that yield the correct answer to a problem.

Entanglement establishes a uniquely quantum correlation between qubits: The state of one cannot be described independently of the others, no matter how far apart the qubits are. This is what Albert Einstein famously dismissed as "spooky action at a distance."

Entanglement's collective behavior, orchestrated through a quantum computer, enables computational speed-ups that are beyond the reach of classical computers.

Quantum computing has a range of potential uses where it can outperform classical computers. In cryptography, quantum computers pose both an opportunity and a challenge. Most famously, they have the potential to decipher current encryption algorithms, such as the widely used RSA scheme.

One consequence of this is that today's encryption protocols need to be reengineered to be resistant to future quantum attacks. This recognition has led to the burgeoning field of post-quantum cryptography.

After a long process, the National Institute of Standards and Technology recently selected four quantum-resistant algorithms and has begun the process of readying them so that organizations around the world can use them in their encryption technology.

In addition, quantum computing can dramatically speed up quantum simulation: the ability to predict the outcome of experiments operating in the quantum realm. Famed physicist Richard Feynman envisioned this possibility more than 40 years ago.

Quantum simulation offers the potential for considerable advancements in chemistry and materials science, aiding in areas such as the intricate modeling of molecular structures for drug discovery and enabling the discovery or creation of materials with novel properties.

Another use of quantum information technology is quantum sensing: detecting and measuring physical properties like electromagnetic energy, gravity, pressure and temperature with greater sensitivity and precision than non-quantum instruments.

Quantum sensing has myriad applications in fields such as environmental monitoring, geological exploration, medical imaging and surveillance.

Initiatives such as the development of a quantum internet that interconnects quantum computers are crucial steps toward bridging the quantum and classical computing worlds.

This network could be secured using quantum cryptographic protocols such as quantum key distribution, which enables ultra-secure communication channels that are protected against computational attacks including those using quantum computers.

Despite a growing application suite for quantum computing, developing new algorithms that make full use of the quantum advantage in particular in machine learning remains a critical area of ongoing research.

The quantum computing field faces significant hurdles in hardware and software development. Quantum computers are highly sensitive to any unintentional interactions with their environments. This leads to the phenomenon of decoherence, where qubits rapidly degrade to the 0 or 1 states of classical bits.

Building large-scale quantum computing systems capable of delivering on the promise of quantum speed-ups requires overcoming decoherence. The key is developing effective methods of suppressing and correcting quantum errors, an area my own research is focused on.

In navigating these challenges, numerous quantum hardware and software startups have emerged alongside well-established technology industry players like Google and IBM.

This industry interest, combined with significant investment from governments worldwide, underscores a collective recognition of quantum technology's transformative potential. These initiatives foster a rich ecosystem where academia and industry collaborate, accelerating progress in the field.

Quantum computing may one day be as disruptive as the arrival of generative AI. Currently, the development of quantum computing technology is at a crucial juncture.

On the one hand, the field has already shown early signs of having achieved a narrowly specialized quantum advantage. Researchers at Google and later a team of researchers in China demonstrated quantum advantage for generating a list of random numbers with certain properties. My research team demonstrated a quantum speed-up for a random number guessing game.

On the other hand, there is a tangible risk of entering a "quantum winter," a period of reduced investment if practical results fail to materialize in the near term.

While the technology industry is working to deliver quantum advantage in products and services in the near term, academic research remains focused on investigating the fundamental principles underpinning this new science and technology.

This ongoing basic research, fueled by enthusiastic cadres of new and bright students of the type I encounter almost every day, ensures that the field will continue to progress.

Daniel Lidar, Professor of Electrical Engineering, Chemistry, and Physics & Astronomy, University of Southern California

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Quantum Advantage: A Physicist Explains The Future of Computers - ScienceAlert