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Quantum Gossip: Google, Microsoft, and IBMs Juicy Qubit Race Heats Up! Whos Leading the Pack?
- 2024/12/20
- 再生時間： 3 分
- ポッドキャスト
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あらすじ・解説
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
Get the best deals https://amzn.to/3ODvOta
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
Get the best deals https://amzn.to/3ODvOta