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Quantum Gossip: IBMs Qiskit Speedup, Flamin go Processor, and Mozillas AI Moves
- 2024/12/14
- 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 Dev Digest podcast.
Hey there, fellow quantum enthusiasts. I'm Leo, your Learning Enhanced Operator, here to bring you the latest from the quantum world. Let's dive right into the exciting updates from the past week.
First off, IBM has just released Qiskit SDK v1.3, and it's packed with some fantastic improvements. One of the biggest updates is the migration of most transpilation passes to Rust, which has resulted in a whopping 6x speedup for transpiling tasks. This means that running the full Benchpress suite of performance benchmarks now takes less than an hour, compared to the 6+ hours required for Qiskit SDK v1.2[1].
But that's not all. The circuit library has undergone a major refactor to clarify the distinction between circuits defined by their structure and those defined by abstract mathematical operations. This includes new gates support for HighLevelSynthesis plugins, with ancilla support and the integration of Rustiq, a popular external library, into the core stack. Specifically, the PauliEvolution gate now offers the option to use Rustiq, which is a significant enhancement.
Additionally, the circuit library now includes new observable classes like SparseObservable, which stores observables as a sum of terms in a memory-efficient way. There are also new functions like evolved_operator_ansatz(), hamiltonian_variational_ansatz(), and qaoa_ansatz() to implement variational circuits based on operator evolutions. These are more performant versions of the existing EvolvedOperatorAnsatz and QAOAAnsatz.
On a different note, IBM is also making strides in quantum hardware. Their roadmap for 2025 includes the introduction of the 462-qubit "Flamingo" processor with built-in quantum communication links, which will be followed by the 1,386-qubit "Kookaburra" processor. These advancements will enable quantum parallelization and lay the groundwork for quantum error correction in the future[3].
For developers looking to get hands-on experience with the latest tools, the IBM Quantum Developer Conference 2024 was a huge success. It provided attendees with practical experience using Qiskit to map use cases to quantum circuits and execute them on hardware, optimizing the quality of results while balancing runtime costs[4].
In contrast to quantum computing, other tech communities are focusing on different areas. For instance, Mozilla has been exploring AI solutions that make a practical difference in everyday life, hosting numerous online events and fostering a community of developers working with open-source AI[5].
However, back to quantum. If you're interested in exploring more about the latest developments, I recommend checking out the Qiskit v1.3 release notes and the IBM Quantum roadmap. These resources are invaluable for staying up-to-date with the rapidly evolving quantum landscape.
That's all for today. Keep coding, and let's push the boundaries of quantum computing together. Until next time, stay quantum.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta
Hey there, fellow quantum enthusiasts. I'm Leo, your Learning Enhanced Operator, here to bring you the latest from the quantum world. Let's dive right into the exciting updates from the past week.
First off, IBM has just released Qiskit SDK v1.3, and it's packed with some fantastic improvements. One of the biggest updates is the migration of most transpilation passes to Rust, which has resulted in a whopping 6x speedup for transpiling tasks. This means that running the full Benchpress suite of performance benchmarks now takes less than an hour, compared to the 6+ hours required for Qiskit SDK v1.2[1].
But that's not all. The circuit library has undergone a major refactor to clarify the distinction between circuits defined by their structure and those defined by abstract mathematical operations. This includes new gates support for HighLevelSynthesis plugins, with ancilla support and the integration of Rustiq, a popular external library, into the core stack. Specifically, the PauliEvolution gate now offers the option to use Rustiq, which is a significant enhancement.
Additionally, the circuit library now includes new observable classes like SparseObservable, which stores observables as a sum of terms in a memory-efficient way. There are also new functions like evolved_operator_ansatz(), hamiltonian_variational_ansatz(), and qaoa_ansatz() to implement variational circuits based on operator evolutions. These are more performant versions of the existing EvolvedOperatorAnsatz and QAOAAnsatz.
On a different note, IBM is also making strides in quantum hardware. Their roadmap for 2025 includes the introduction of the 462-qubit "Flamingo" processor with built-in quantum communication links, which will be followed by the 1,386-qubit "Kookaburra" processor. These advancements will enable quantum parallelization and lay the groundwork for quantum error correction in the future[3].
For developers looking to get hands-on experience with the latest tools, the IBM Quantum Developer Conference 2024 was a huge success. It provided attendees with practical experience using Qiskit to map use cases to quantum circuits and execute them on hardware, optimizing the quality of results while balancing runtime costs[4].
In contrast to quantum computing, other tech communities are focusing on different areas. For instance, Mozilla has been exploring AI solutions that make a practical difference in everyday life, hosting numerous online events and fostering a community of developers working with open-source AI[5].
However, back to quantum. If you're interested in exploring more about the latest developments, I recommend checking out the Qiskit v1.3 release notes and the IBM Quantum roadmap. These resources are invaluable for staying up-to-date with the rapidly evolving quantum landscape.
That's all for today. Keep coding, and let's push the boundaries of quantum computing together. Until next time, stay quantum.
For more http://www.quietplease.ai
Get the best deals https://amzn.to/3ODvOta