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Cirq and quantum computing: hardware-aware programming

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Manage episode 525207947 series 2895405
Content provided by Qubit Value Oy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Qubit Value Oy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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In this episode, we declare the end of the experimental NISQ era and the arrival of "Utility Scale" quantum computing, where 100+ qubit processors are finally delivering tangible value. We dive deep into the necessity of "hardware-aware" programming using frameworks like Cirq, explaining why developers can no longer treat the chip as a black box but must instead manage gate timing, "moments," and error mitigation strategies like Zero Noise Extrapolation. We also explore the critical role of GPU-accelerated simulations in bridging the gap to fault tolerance and discuss the acute talent shortage in the market, making the case that mastering these noisy, intermediate tools today is the only way to be ready for the logical qubit revolution of 2026.

  continue reading

13 episodes

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Manage episode 525207947 series 2895405
Content provided by Qubit Value Oy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Qubit Value Oy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Send us a text

In this episode, we declare the end of the experimental NISQ era and the arrival of "Utility Scale" quantum computing, where 100+ qubit processors are finally delivering tangible value. We dive deep into the necessity of "hardware-aware" programming using frameworks like Cirq, explaining why developers can no longer treat the chip as a black box but must instead manage gate timing, "moments," and error mitigation strategies like Zero Noise Extrapolation. We also explore the critical role of GPU-accelerated simulations in bridging the gap to fault tolerance and discuss the acute talent shortage in the market, making the case that mastering these noisy, intermediate tools today is the only way to be ready for the logical qubit revolution of 2026.

  continue reading

13 episodes

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