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Quantum Gossip: IBMs Heron Soars, Control Systems Stumble, and 13 Players Unveil Roadmaps!
This is your The Quantum Stack Weekly podcast.
Hey there, I'm Leo, your go-to expert for all things quantum computing. Let's dive right into the latest updates in the quantum stack.
Just a few days ago, I was at the NERSC Quantum Days 2024, where I had the chance to catch up with Derek Wang from IBM Quantum. He gave an insightful presentation on utility-scale quantum computational workflows with Qiskit, highlighting how IBM's latest quantum processor, IBM Quantum Heron, can now execute complex algorithms with record levels of scale, speed, and accuracy[2].
Speaking of IBM Quantum Heron, it's worth noting that this processor can leverage Qiskit to run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is a significant leap forward in terms of performance metrics, and it's exciting to see how researchers are already exploring its potential in fields like materials science, chemistry, and life sciences.
But what's equally important is the progress being made in quantum control systems. As McKinsey pointed out in their recent report, achieving fault-tolerant quantum computing on a large scale will require substantial innovation in quantum control design[3]. Existing control systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To scale up, we need a transformative approach to quantum control design that can handle 100,000 to 1,000,000 qubits simultaneously.
In terms of technical specifications, the industry has coalesced around several standardized metrics to track quantum computing progress. Two-qubit gate fidelity is a fundamental benchmark, with leading platforms now targeting the 99.9% to 99.99% range. Error rates are typically measured at both the physical and logical level, with logical error rate targets extending to 10^-6 or better[4].
As we move forward, it's clear that the convergence of AI, software advancements, and hardware innovations is poised to propel quantum computing into the mainstream. The University of Chicago's Chicago Quantum Exchange and MIT's Center for Quantum Engineering are just a few examples of institutions driving the next wave of quantum breakthroughs[1].
In 2024, we've seen an unprecedented wave of quantum computing roadmaps, with thirteen players announcing new development paths. It's an exciting time to be in the field, and I'm eager to see what the future holds for quantum computing. That's all for now – stay tuned for more updates from The Quantum Stack Weekly.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
Hey there, I'm Leo, your go-to expert for all things quantum computing. Let's dive right into the latest updates in the quantum stack.
Just a few days ago, I was at the NERSC Quantum Days 2024, where I had the chance to catch up with Derek Wang from IBM Quantum. He gave an insightful presentation on utility-scale quantum computational workflows with Qiskit, highlighting how IBM's latest quantum processor, IBM Quantum Heron, can now execute complex algorithms with record levels of scale, speed, and accuracy[2].
Speaking of IBM Quantum Heron, it's worth noting that this processor can leverage Qiskit to run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is a significant leap forward in terms of performance metrics, and it's exciting to see how researchers are already exploring its potential in fields like materials science, chemistry, and life sciences.
But what's equally important is the progress being made in quantum control systems. As McKinsey pointed out in their recent report, achieving fault-tolerant quantum computing on a large scale will require substantial innovation in quantum control design[3]. Existing control systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To scale up, we need a transformative approach to quantum control design that can handle 100,000 to 1,000,000 qubits simultaneously.
In terms of technical specifications, the industry has coalesced around several standardized metrics to track quantum computing progress. Two-qubit gate fidelity is a fundamental benchmark, with leading platforms now targeting the 99.9% to 99.99% range. Error rates are typically measured at both the physical and logical level, with logical error rate targets extending to 10^-6 or better[4].
As we move forward, it's clear that the convergence of AI, software advancements, and hardware innovations is poised to propel quantum computing into the mainstream. The University of Chicago's Chicago Quantum Exchange and MIT's Center for Quantum Engineering are just a few examples of institutions driving the next wave of quantum breakthroughs[1].
In 2024, we've seen an unprecedented wave of quantum computing roadmaps, with thirteen players announcing new development paths. It's an exciting time to be in the field, and I'm eager to see what the future holds for quantum computing. That's all for now – 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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By Quiet. PleaseThis is your The Quantum Stack Weekly podcast.
Hey there, I'm Leo, your go-to expert for all things quantum computing. Let's dive right into the latest updates in the quantum stack.
Just a few days ago, I was at the NERSC Quantum Days 2024, where I had the chance to catch up with Derek Wang from IBM Quantum. He gave an insightful presentation on utility-scale quantum computational workflows with Qiskit, highlighting how IBM's latest quantum processor, IBM Quantum Heron, can now execute complex algorithms with record levels of scale, speed, and accuracy[2].
Speaking of IBM Quantum Heron, it's worth noting that this processor can leverage Qiskit to run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is a significant leap forward in terms of performance metrics, and it's exciting to see how researchers are already exploring its potential in fields like materials science, chemistry, and life sciences.
But what's equally important is the progress being made in quantum control systems. As McKinsey pointed out in their recent report, achieving fault-tolerant quantum computing on a large scale will require substantial innovation in quantum control design[3]. Existing control systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To scale up, we need a transformative approach to quantum control design that can handle 100,000 to 1,000,000 qubits simultaneously.
In terms of technical specifications, the industry has coalesced around several standardized metrics to track quantum computing progress. Two-qubit gate fidelity is a fundamental benchmark, with leading platforms now targeting the 99.9% to 99.99% range. Error rates are typically measured at both the physical and logical level, with logical error rate targets extending to 10^-6 or better[4].
As we move forward, it's clear that the convergence of AI, software advancements, and hardware innovations is poised to propel quantum computing into the mainstream. The University of Chicago's Chicago Quantum Exchange and MIT's Center for Quantum Engineering are just a few examples of institutions driving the next wave of quantum breakthroughs[1].
In 2024, we've seen an unprecedented wave of quantum computing roadmaps, with thirteen players announcing new development paths. It's an exciting time to be in the field, and I'm eager to see what the future holds for quantum computing. That's all for now – stay tuned for more updates from The Quantum Stack Weekly.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
Hey there, I'm Leo, your go-to expert for all things quantum computing. Let's dive right into the latest updates in the quantum stack.
Just a few days ago, I was at the NERSC Quantum Days 2024, where I had the chance to catch up with Derek Wang from IBM Quantum. He gave an insightful presentation on utility-scale quantum computational workflows with Qiskit, highlighting how IBM's latest quantum processor, IBM Quantum Heron, can now execute complex algorithms with record levels of scale, speed, and accuracy[2].
Speaking of IBM Quantum Heron, it's worth noting that this processor can leverage Qiskit to run certain classes of quantum circuits with up to 5,000 two-qubit gate operations. This is a significant leap forward in terms of performance metrics, and it's exciting to see how researchers are already exploring its potential in fields like materials science, chemistry, and life sciences.
But what's equally important is the progress being made in quantum control systems. As McKinsey pointed out in their recent report, achieving fault-tolerant quantum computing on a large scale will require substantial innovation in quantum control design[3]. Existing control systems are designed for a small number of qubits and rely on customized calibration and dedicated resources for each qubit. To scale up, we need a transformative approach to quantum control design that can handle 100,000 to 1,000,000 qubits simultaneously.
In terms of technical specifications, the industry has coalesced around several standardized metrics to track quantum computing progress. Two-qubit gate fidelity is a fundamental benchmark, with leading platforms now targeting the 99.9% to 99.99% range. Error rates are typically measured at both the physical and logical level, with logical error rate targets extending to 10^-6 or better[4].
As we move forward, it's clear that the convergence of AI, software advancements, and hardware innovations is poised to propel quantum computing into the mainstream. The University of Chicago's Chicago Quantum Exchange and MIT's Center for Quantum Engineering are just a few examples of institutions driving the next wave of quantum breakthroughs[1].
In 2024, we've seen an unprecedented wave of quantum computing roadmaps, with thirteen players announcing new development paths. It's an exciting time to be in the field, and I'm eager to see what the future holds for quantum computing. That's all for now – stay tuned for more updates from The Quantum Stack Weekly.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta