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Conventional CPU Computing vs GPU Computing

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A CPU is in simple terms, the brain of a computer. All the arithmetic and logical operations are performed on a CPU. CPU computing is the process of developing code that would enable programs to work according to a specific application requirement. Specific actions that are performed with these programs on a processing unit within a CPU is known as a CPU core. The arithmetic and logical operations that we speak of are performed with the help of arithmetic logic units ( ALUs ) present in the CPU core. The highest number of cores on a CPU till date is 32 on AMD's Ryzen Threadripper 2990WX and 2990X. A GPU, on the other hand is a specialized processor focused on graphical processing of visual imagery which reduced the load on the CPU by taking care of such visual elements. GPUs have great computational capabilities and can also perform intense operations many times faster than a CPU. GPU cores also have ALUS. The highest number of cores on a GPU till date is 512
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An Introduction to Quantum Computing with Open Source Cirq Framework

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As the title suggests what we are about to begin discussing, this article is an effort to understand how far we have come in Quantum Computing and where we are headed in the field in order to accelerate scientific and technological research, through an Open Source perspective with Cirq. First, we will introduce you to the world of Quantum Computing. We will try our best to explain the basic idea behind the same before we look into how Cirq would be playing a significant role in the future of Quantum Computing. Cirq, as you might have heard of recently, has been breaking news in the field and in this Open Science article, we will try to find out why. Before we start with what Quantum Computing is, it is essential to get to know about the term Quantum, that is, a subatomic particle referring to the smallest known entity. The word Quantum is based on the Latin word Quantus, meaning, “how little”, as described in this short video: It will be eas
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