• The Quantum Stack Weekly

  • 著者： Quiet. Please
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The Quantum Stack Weekly

著者： Quiet. Please
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  • This is your The Quantum Stack Weekly podcast.

    "The Quantum Stack Weekly" is your daily source for cutting-edge updates in the world of quantum computing architecture. Dive into detailed analyses of advancements in hardware, control systems, and software stack developments. Stay informed with specific performance metrics and technical specifications, ensuring you are up-to-date with the latest in quantum technology. Perfect for professionals and enthusiasts who demand precise and timely information, this podcast is your go-to resource for the most recent breakthroughs in the quantum computing landscape.

    For more info go to

    https://www.quietplease.ai

    Check out these deals https://amzn.to/48MZPjs
    Copyright 2024 Quiet. Please
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あらすじ・解説

This is your The Quantum Stack Weekly podcast.

"The Quantum Stack Weekly" is your daily source for cutting-edge updates in the world of quantum computing architecture. Dive into detailed analyses of advancements in hardware, control systems, and software stack developments. Stay informed with specific performance metrics and technical specifications, ensuring you are up-to-date with the latest in quantum technology. Perfect for professionals and enthusiasts who demand precise and timely information, this podcast is your go-to resource for the most recent breakthroughs in the quantum computing landscape.

For more info go to

https://www.quietplease.ai

Check out these deals https://amzn.to/48MZPjs
Copyright 2024 Quiet. Please
続きを読む 一部表示
エピソード
  • Quantum Bombshells: IBM's Heron Soars, Google's Willow Wows, and Quantinuum's AI Breakthrough!

    Quantum Bombshells: IBM's Heron Soars, Google's Willow Wows, and Quantinuum's AI Breakthrough!
    2024/12/26
    This is your The Quantum Stack Weekly podcast.

    Hey there, fellow quantum enthusiasts. I'm Leo, your Learning Enhanced Operator, here to bring you the latest updates from the quantum stack. It's been an exciting few days, and I'm excited to dive right in.

    Let's start with the hardware. IBM just launched its most advanced quantum computers, featuring the IBM Quantum Heron processor. This beast can execute complex algorithms with record levels of scale, speed, and accuracy. Specifically, it can run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. That's a significant leap forward for tackling scientific problems in materials, chemistry, life sciences, and high-energy physics[2].

    Meanwhile, Google unveiled its state-of-the-art quantum chip, Willow. This 105-qubit marvel demonstrates error correction and performance that paves the way to a useful, large-scale quantum computer. What's impressive is its best-in-class performance across key benchmarks like quantum error correction and random circuit sampling. Plus, its T1 times, which measure how long qubits can retain an excitation, have improved by a whopping 5x over the previous generation, reaching 100 microseconds[4].

    But hardware is just half the story. Control systems are crucial for scaling quantum computing. As McKinsey points out, existing control systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To achieve fault-tolerant quantum computing on a large scale, we need transformative approaches to quantum control design that can handle 100,000 to 1,000,000 qubits simultaneously[3].

    On the software front, companies like QuEra Computing, Infleqtion, and Pasqal have announced ambitious roadmaps for the next few years. QuEra aims for 100 logical qubits by 2026, while Infleqtion plans for over 100 logical qubits with 40,000 physical qubits by 2028. Pasqal targets fault-tolerant quantum computing with 128 logical qubits by 2028[1].

    Lastly, let's talk about applications. Quantinuum has made significant strides in quantum AI, developing a scalable Quantum Natural Language Processing model called QDisCoCirc. This model uses compositional generalization to process text into smaller, interpretable components, addressing challenges like the "barren plateau" problem and demonstrating advantages over classical models[5].

    That's all for today, folks. It's been a thrilling few days in the quantum stack, and I'm excited to see what the future holds. Until next time, stay quantum.

    For more http://www.quietplease.ai


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    3 分
  • Willow's Whispers: Google's Quantum Leap Leaves IBM Heron in the Dust!

    Willow's Whispers: Google's Quantum Leap Leaves IBM Heron in the Dust!
    2024/12/24
    This is your The Quantum Stack Weekly podcast.

    Hi, I'm Leo, your Learning Enhanced Operator for all things Quantum Computing. Let's dive right into the latest updates in the quantum stack.

    Just a few days ago, Google unveiled their new quantum chip, Willow, which is a significant leap forward in quantum computing architecture. With 105 qubits, Willow boasts best-in-class performance in quantum error correction and random circuit sampling. What's impressive is the T1 times, measuring how long qubits can retain an excitation, which have improved by a factor of 5 to nearly 100 microseconds[3].

    Meanwhile, IBM has been making strides with their Quantum Heron processor. At the IBM Quantum Developer Conference, they announced that Heron can now accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is nearly twice the number of gates they demonstrated in 2023, showcasing significant advancements in quantum utility. For instance, an experiment that took 112 hours in 2023 can now be completed in just 2.2 hours on the latest Heron processor, a 50-fold speedup[1].

    But what's equally important is the control system that enables these quantum computers to function. As highlighted by McKinsey, scaling quantum control is critical for fault-tolerant quantum computing. Current systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To achieve large-scale quantum computing, we need transformative approaches to quantum control design, addressing issues like form factor, interconnectivity, power, and cost[2].

    On the software front, AI is playing a crucial role in advancing quantum computing. AI-powered techniques are used to design and optimize quantum algorithms, identify efficient approaches for specific problems, and enhance error correction. This synergy between AI and quantum computing is expected to drive significant breakthroughs in the coming year[5].

    As we move towards quantum supremacy, where quantum computers outperform classical supercomputers on specific tasks, it's essential to consider the broader implications. For instance, quantum computers could potentially break current encryption schemes, but new algorithms and a quantum internet could help mitigate these risks[4].

    In conclusion, the quantum stack is rapidly evolving, with significant advancements in hardware, control systems, and software. As we continue to push the boundaries of quantum computing, it's exciting to think about the potential applications in various industries, from cryptography and cybersecurity to pharmaceuticals and climate modeling. That's all for now. Stay quantum, and I'll catch you in the next update.

    For more http://www.quietplease.ai


    Get the best deals https://amzn.to/3ODvOta
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    3 分
  • Quantum Gossip: IBMs Qubits Flex, While McKinsey Spills the Tea on Scaling Woes

    Quantum Gossip: IBMs Qubits Flex, While McKinsey Spills the Tea on Scaling Woes
    2024/12/21
    This is your The Quantum Stack Weekly podcast.

    Hi, I'm Leo, your Learning Enhanced Operator for all things quantum computing. Let's dive right into the latest updates in the quantum stack.

    Over the past few days, significant advancements have been made in quantum computing architecture. IBM recently launched its most advanced quantum computers, including the IBM Quantum Heron, which can now execute complex algorithms with record levels of scale, speed, and accuracy. Specifically, it can run certain classes of quantum circuits with up to 5,000 two-qubit gate operations, leveraging Qiskit to expand explorations in scientific problems across materials, chemistry, life sciences, and high-energy physics[2].

    On the software front, IBM has also expanded Qiskit, the world's most performant quantum software, into a comprehensive software stack focused on performance and stability. This includes the stable release of Qiskit SDK v1.x for building, optimizing, and visualizing quantum circuits, enabling users to extract improved performance while running complex quantum circuits on 100+ qubit IBM quantum computers[4].

    However, scaling quantum computing requires precise control of qubits and manipulation of physical systems. McKinsey highlights the challenges in scaling quantum control, emphasizing the need for a transformative approach to address issues with current state-of-the-art quantum control system performance and scalability. This includes minimizing large-scale quantum computer space requirements, improving interconnectivity for efficient high-speed communication between modules, and reducing power consumption[3].

    Universities are also playing a crucial role in advancing quantum computing. The University of Chicago’s Chicago Quantum Exchange and MIT’s Center for Quantum Engineering are leading examples of institutions driving cutting-edge research, collaborations, and training the next generation of experts. These efforts are cultivating a thriving ecosystem of researchers, innovators, and entrepreneurs, pushing the boundaries of quantum breakthroughs[1].

    In conclusion, the quantum stack is witnessing rapid advancements in hardware, software, and control systems. With IBM's latest quantum computers and the expansion of Qiskit, along with the critical work in quantum control and university research, we are on the cusp of unlocking new frontiers in quantum computing. Stay tuned for more updates from The Quantum Stack Weekly.

    For more http://www.quietplease.ai


    Get the best deals https://amzn.to/3ODvOta
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    3 分

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