• Quantum Research Now

  • 著者： Quiet. Please
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Quantum Research Now

著者： Quiet. Please
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  • This is your Quantum Research Now podcast.

    Quantum Research Now is your daily source for the latest updates in quantum computing. Dive into groundbreaking research papers, discover breakthrough methods, and explore novel algorithms and experimental results. Our expert analysis highlights potential commercial applications, making this podcast essential for anyone looking to stay ahead in the rapidly evolving field of quantum technology. Tune in daily to stay informed and inspired by the future of computing.

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    https://www.quietplease.ai

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    Copyright 2024 Quiet. Please
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あらすじ・解説

This is your Quantum Research Now podcast.

Quantum Research Now is your daily source for the latest updates in quantum computing. Dive into groundbreaking research papers, discover breakthrough methods, and explore novel algorithms and experimental results. Our expert analysis highlights potential commercial applications, making this podcast essential for anyone looking to stay ahead in the rapidly evolving field of quantum technology. Tune in daily to stay informed and inspired by the future of computing.

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 Buzz: Paderborn's Photonics Leap, Microsoft's Qubit Magic, and DWave's Annealing Adventure

    Quantum Buzz: Paderborn's Photonics Leap, Microsoft's Qubit Magic, and DWave's Annealing Adventure
    2024/12/21
    This is your Quantum Research Now podcast.

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

    As we wrap up 2024, the quantum computing landscape is buzzing with exciting innovations. Researchers at Paderborn University have made significant strides in high-performance computing for quantum photonics experiments. They developed new HPC software to analyze experimental data from a quantum detector, enabling the tomographic reconstruction of data at unprecedented scales. This work, led by researchers like Schapeler, opens new horizons for scalable quantum photonics and has wider implications for characterizing photonic quantum computer hardware[2].

    Meanwhile, collaborations between industry giants and academic institutions are driving quantum advancements. Microsoft and Quantinuum have demonstrated error-corrected two-qubit entangling gates, a crucial step towards practical quantum computing[4]. Moreover, Microsoft's joint announcement with Atom Computing has achieved a record 24 working logical qubits on a base of 112 physical qubits, showcasing loss correction in a commercial neutral-atom system[5].

    Universities worldwide are at the forefront of quantum research. The University of Chicago’s Chicago Quantum Exchange and MIT’s Center for Quantum Engineering are exemplary in their efforts to tackle complex problems and develop practical quantum technologies. These institutions are cultivating a thriving ecosystem of researchers, innovators, and entrepreneurs, driving the next wave of quantum breakthroughs[1].

    In terms of commercial applications, quantum computing is set to transform various industries. Key areas of impact include cryptography and cybersecurity, financial services, pharmaceuticals and biotechnology, materials science and engineering, logistics and supply chain optimization, and climate and environmental modeling. For instance, D-wave is ramping up production-scale deployment of an auto-scheduling product using annealing with partners like the Pattison Food Group[3].

    As we look to the future, the convergence of AI, software advancements, and hardware innovations is poised to propel quantum computing into the mainstream. With breakthroughs in quantum software and programming frameworks enhancing accessibility, and advancements in quantum sensing and metrology impacting fields like navigation and medical imaging, the potential for quantum computing is boundless[1].

    In conclusion, the quantum computing landscape in 2024 is filled with exciting innovations and promising applications. As we continue to push the boundaries of quantum research, we are on the cusp of unlocking new frontiers of discovery and problem-solving. Stay tuned for more updates from the quantum world.

    For more http://www.quietplease.ai


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    3 分
  • Quantum Gossip: Google, Microsoft, and IBMs Juicy Qubit Race Heats Up! Whos Leading the Pack?

    Quantum Gossip: Google, Microsoft, and IBMs Juicy Qubit Race Heats Up! Whos Leading the Pack?
    2024/12/20
    This is your Quantum Research Now podcast.

    Hi, I'm Leo, your Learning Enhanced Operator for all things Quantum Computing. Let's dive right into the latest breakthroughs and what they mean for the future.

    Just a few days ago, Google unveiled their new quantum chip, Willow, which marks a significant milestone in error correction and performance[4]. This chip demonstrates an exponential reduction in error rates as the number of qubits increases, a crucial step towards building large-scale, useful quantum computers. The team tested arrays of physical qubits, scaling up from 3x3 to 7x7, and each time, they were able to cut the error rate in half. This is a historic accomplishment known as "below threshold," a long-standing challenge since quantum error correction was introduced by Peter Shor in 1995.

    Meanwhile, Microsoft and Atom Computing have made a joint announcement about creating 24 working logical qubits, the most ever demonstrated, on a base of 112 physical qubits[1]. This achievement is particularly noteworthy because it uses the "neutral atoms" approach, where qubits can not only develop errors but also become completely lost. The team used a clever combination of hardware and software to trap atoms in a grid using lasers and then applied Microsoft's advanced error correction techniques. This breakthrough paves the way for integrating reliable logical quantum computing into workflows for applications such as chemistry and materials science.

    IBM has also doubled its quantum computing capacity with the new 156-qubit Heron quantum processor, which can run circuits with up to 5,000 two-qubit gate operations[1]. This increase in capability and speed opens up new possibilities for complex simulations and optimizations.

    But what does this mean for real-world applications? The potential is vast. Quantum computing can revolutionize fields such as logistics, operations research, drug discovery, and financial modeling. For instance, D-wave is already ramping up production-scale deployment of an auto-scheduling product using annealing with partners like the Pattison Food Group[2]. This kind of optimization can lead to significant savings and efficiency improvements.

    Moreover, quantum simulations and quantum AI can help solve issues with classical computing's comprehension of supply chain networks, potentially saving around $1 billion per year[5]. Quantum sensing, another application, allows for detecting changes and collecting data at an atomic or subatomic level, opening up new possibilities for scientific research and industrial applications.

    As we move forward, the focus is on demonstrating "useful, beyond-classical" computations that are relevant to real-world applications. With advancements like Willow and the collaboration between Microsoft and Atom Computing, we're getting closer to running practical, commercially relevant algorithms that can't be replicated on conventional computers. It's an exciting time for quantum computing, and I'm eager to see what the future holds.

    For more http://www.quietplease.ai


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    3 分
  • Quantum Leaps: Supremacy, Breakthroughs, and Real-World Applications on the Horizon

    Quantum Leaps: Supremacy, Breakthroughs, and Real-World Applications on the Horizon
    2024/12/19
    This is your Quantum Research Now podcast.

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

    Just a few days ago, I was reading about the incredible work done by scientists at Paderborn University. They used high-performance computing at large scales to analyze a quantum photonics experiment, specifically the tomographic reconstruction of experimental data from a quantum detector. This is a device that measures individual photons, or light particles. The researchers developed new HPC software to achieve this, and their findings were published in the specialist journal Quantum Science and Technology. According to Schapeler, one of the researchers, this work is opening up entirely new horizons for the size of systems being analyzed in the field of scalable quantum photonics, which has wider implications for characterizing photonic quantum computer hardware.

    This kind of research is crucial for demonstrating quantum supremacy in quantum photonic experiments on a scale that cannot be calculated by conventional means. Speaking of quantum supremacy, IBM recently launched its most advanced quantum computers, fueling new scientific value and progress towards quantum advantage. Their quantum processor, IBM Quantum Heron, can now leverage Qiskit to accurately run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is a significant step forward in tackling scientific problems across materials, chemistry, life sciences, high-energy physics, and more.

    But what about real-world applications? IDTechEx explores which applications are being developed today across the materials, chemical, automotive, finance, and healthcare industries. For instance, the application of quantum computing to logistics and operations could be transformative. D-wave is already ramping up production-scale deployment of an auto-scheduling product using annealing with partners of the Pattison Food Group. This is a great example of how quantum computing can solve complex optimization problems, which is a recurring theme across various industries.

    In fact, a recent survey by QuEra Computing reveals that over half of quantum academics, scientists, and professionals believe quantum computing is progressing faster than expected, with 40% predicting it will become a superior alternative to classical computing for certain workloads within the next five years. This is exciting news, and I'm eager to see how quantum computing will continue to evolve and solve problems that were previously unsolvable.

    That's all for now. Stay tuned for more updates on quantum research, and I'll catch you in the next quantum leap.

    For more http://www.quietplease.ai


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    3 分

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