🔻Quantum Supremacy Using a Programmable #Superconducting #Processor
🔹Physicists have been talking about the power of quantum computing for over 30 years, but the questions have always been: will it ever do something useful and is it worth investing in? For such large-scale endeavors it is good engineering practice to formulate decisive short-term goals that demonstrate whether the designs are going in the right direction.
🔹Today we published the results of this quantum supremacy experiment in the Nature article, “Quantum Supremacy Using a Programmable Superconducting Processor”. We developed a new 54-qubit processor, named “Sycamore”, that is comprised of fast, high-fidelity quantum logic gates, in order to perform the benchmark testing.
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📌Via: @cedeeplearning
https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html
#quantomcomputing #deeplearning
#machinelearning #neuralnetworks
#AI #sycamore #hardware
🔹Physicists have been talking about the power of quantum computing for over 30 years, but the questions have always been: will it ever do something useful and is it worth investing in? For such large-scale endeavors it is good engineering practice to formulate decisive short-term goals that demonstrate whether the designs are going in the right direction.
🔹Today we published the results of this quantum supremacy experiment in the Nature article, “Quantum Supremacy Using a Programmable Superconducting Processor”. We developed a new 54-qubit processor, named “Sycamore”, that is comprised of fast, high-fidelity quantum logic gates, in order to perform the benchmark testing.
———————
📌Via: @cedeeplearning
https://ai.googleblog.com/2019/10/quantum-supremacy-using-programmable.html
#quantomcomputing #deeplearning
#machinelearning #neuralnetworks
#AI #sycamore #hardware
research.google
Quantum Supremacy Using a Programmable Superconducting Processor
Posted by John Martinis, Chief Scientist Quantum Hardware and Sergio Boixo, Chief Scientist Quantum Computing Theory, Google AI Quantum Physicist...