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#quantumhardware — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #quantumhardware, aggregated by home.social.

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  1. Weekend Reading via TechAptitude!

    As noted last time - here is post 2 of 2 In which we detail Quantum Computing hardware designs from some of the biggest players in the space including IBM, IONQ, and D-Wave. Enjoy techaptitude.substack.com/p/qu
    #Quantum #Quantumcomputing #QuantumHardware #TechAptitude #IBM #NightHawk #IONQ #TEMPO #D-Wave #Advantage2

  2. Weekend Reading via TechAptitude!

    As noted last time - here is post 2 of 2 In which we detail Quantum Computing hardware designs from some of the biggest players in the space including IBM, IONQ, and D-Wave. Enjoy techaptitude.substack.com/p/qu
    -Wave

  3. Weekend reading via TechAptitude.

    In this post (1 of 2) we detail Quantum Computing hardware designs from some of the biggest players in the space including Alphabet/Google, Amazon and Microsoft.

    Next time we will post the link to part 2 of this series. techaptitude.substack.com/p/qu #Quantum #Quantumcomputing #Microsoft #Amazon #Google #Qubits #Majorana #Willow #Ocelot #QuantumHardware #TechAptitude

  4. Weekend reading via TechAptitude.

    In this post (1 of 2) we detail Quantum Computing hardware designs from some of the biggest players in the space including Alphabet/Google, Amazon and Microsoft.

    Next time we will post the link to part 2 of this series. techaptitude.substack.com/p/qu

  5. #Sygaldry raised $139 million to develop #servers for #AIdatacentres that incorporate both #quantumhardware and #classicalchips. The goal is to create machines that can run AI workloads faster than Nvidia’s GPUs by 2030. Sygaldry’s approach aims to address the growing energy demands of large language models by leveraging the efficiency of quantum computing. fortune.com/2026/04/14/exclusi #Pirates #Tech #Startup #News

  6. #Sygaldry raised $139 million to develop #servers for #AIdatacentres that incorporate both #quantumhardware and #classicalchips. The goal is to create machines that can run AI workloads faster than Nvidia’s GPUs by 2030. Sygaldry’s approach aims to address the growing energy demands of large language models by leveraging the efficiency of quantum computing. fortune.com/2026/04/14/exclusi #Pirates #Tech #Startup #News