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Cirq and quantum computing: hardware-aware programming

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Manage episode 525207947 series 2895405
Indhold leveret af Qubit Value Oy. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Qubit Value Oy eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

11 episoder

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Manage episode 525207947 series 2895405
Indhold leveret af Qubit Value Oy. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Qubit Value Oy eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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

11 episoder

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