IBM Unveils Breakthrough 127-Qubit Quantum Processor
IBM announced its new 127-quantum bit (qubit) ‘Eagle’ processor at the IBM Quantum Summit 2021, its annual event to showcase milestones in quantum hardware, software, and the growth of the quantum ecosystem. The ‘Eagle’ processor is a breakthrough in tapping into the massive computing potential of devices based on quantum physics. It heralds the point in hardware development where quantum circuits cannot be reliably simulated exactly on a classical computer. IBM also previewed plans for IBM Quantum System Two, the next generation of quantum systems.
Quantum computing taps into the fundamental quantum nature of matter at subatomic levels to offer the possibility of vastly increased computing power. The fundamental computational unit of quantum computing is the quantum circuit, an arrangement of qubits into quantum gates and measurements. The more qubits a quantum processor possesses, the more complex and valuable the quantum circuits that it can run.
Top AiThority.com Insights: TrustNFT: Is NFT The Future Of Finances?
IBM recently debuted detailed roadmaps for quantum computing, including a path for scaling quantum hardware to enable complex quantum circuits to reach Quantum Advantage, the point at which quantum systems can meaningfully outperform their classical counterpoints. Eagle is the latest step along this scaling path.
IBM measures progress in quantum computing hardware through three performance attributes: Scale, Quality and Speed. Scale is measured in the number of qubits on a quantum processor and determines how large of a quantum circuit can be run. Quality is measured by Quantum Volume and describes how accurately quantum circuits run on a real quantum device. Speed is measured by CLOPS (Circuit Layer Operations Per Second), a metric IBM introduced in November 2021, and captures the feasibility of running real calculations composed of a large number of quantum circuits.
Latest Crypto and Blockchain News: TrustNFT’s Community Together with AI to Empower NFT Backed L****
127-qubit Eagle processor
‘Eagle’ is IBM’s first quantum processor developed and deployed to contain more than 100 operational and connected qubits. It follows IBM’s 65-qubit ‘Hummingbird’ processor unveiled in 2020 and the 27-qubit ‘Falcon’ processor unveiled in 2019. To achieve this breakthrough, IBM researchers built on innovations pioneered within its existing quantum processors, such as a qubit arrangement design to reduce errors and an architecture to reduce the number of necessary components. The new techniques leveraged within Eagle place control wiring on multiple physical levels within the processor while keeping the qubits on a single layer, which enables a significant increase in qubits.
The increased qubit count will allow users to explore problems at a new level of complexity when undertaking experiments and running applications, such as optimizing machine learning or modeling new molecules and materials for use in areas spanning from the energy industry to the drug discovery process. ‘Eagle’ is the first IBM quantum processor whose scale makes it impossible for a classical computer to reliably simulate. In fact, the number of classical bits necessary to represent a state on the 127-qubit processor exceeds the total number of atoms in the more than 7.5 billion people alive today.
“The arrival of the ‘Eagle’ processor is a major step towards the day when quantum computers can outperform classical computers for useful applications,” said Dr. Darío Gil, Senior Vice President, IBM and Director of Research. “Quantum computing has the power to transform nearly every sector and help us tackle the biggest problems of our time. This is why IBM continues to rapidly innovate quantum hardware and software design, building ways for quantum and classical workloads to empower each other, and create a global ecosystem that is imperative to the growth of a quantum industry.”
Recommended AI News: Vizient Medical Device Tech Watch Highlights Rapid Adoption of AI-Enabled Stroke Detection
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.