Quantum computing is a new computing paradigm that exploits laws of quantum mechanics to achieve an exponential speedup compared to classical logic. However, noise strongly limits current quantum hardware, reducing ac...
详细信息
ISBN:
(纸本)9798350364613;9798350364606
Quantum computing is a new computing paradigm that exploits laws of quantum mechanics to achieve an exponential speedup compared to classical logic. However, noise strongly limits current quantum hardware, reducing achievable performance. Quantum Error Correction (QEC) techniques are a valuable approach to reduce the effects of noise. Nevertheless, the high computational complexity of QEC algorithms is incompatible with the tight time constraints of quantum devices. Thus, hardware acceleration is paramount to achieving real-time QEC. This work represents the first step in the FPGA acceleration of the Sparse Blossom Algorithm (SBA), a state-of-the-art decoding algorithm for QEC. We provide a performance profiling and a design methodology for the hardware development of the SBA. We evaluate the execution time, and energy efficiency of our solution, attaining up to 2.75x speedup and 9.59x improvement in energy efficiency compared to the software baseline.
While parallel programming, particularly on graphics processing units (GPUs), and numerical optimization hold immense potential to tackle real-world computational challenges across disciplines, their inherent complexi...
详细信息
ISBN:
(纸本)9798350364613;9798350364606
While parallel programming, particularly on graphics processing units (GPUs), and numerical optimization hold immense potential to tackle real-world computational challenges across disciplines, their inherent complexity and technical demands often act as daunting barriers to entry. This, unfortunately, limits accessibility and diversity within these crucial areas of computer science. To combat this challenge and ignite excitement among undergraduate learners, we developed an application-driven course, harnessing robotics as a lens to demystify the intricacies of these topics making them tangible and engaging. Our course's prerequisites are limited to the required undergraduate introductory core curriculum, opening doors for a wider range of students. Our course also features a large final-project component to connect theoretical learning to applied practice. In our first offering of the course we attracted 27 students without prior experience in these topics and found that an overwhelming majority of the students fell that they learned both technical and soft skills such that they felt prepared for future study in these fields.
In order to effectively suppress the negative impact of the randomness and indirectness of photovoltaic output on the power grid, and improve the friendliness of the grid-connected photovoltaic-energy storage system, ...
详细信息
Computational fluid dynamics (CFD) is one of the important application fields of high performance computing. parallelization of CFD programs can significantly increase the speed of computation, but the traditional ser...
详细信息
With the advancement of blockchain technology, its application in data management and query processing has garnered increasing attention. However, as a distributed database system, blockchain currently falls short in ...
详细信息
To satisfy the requirement of electric distribution grid planning brought by the forward annual electricity consumption growth and power grid expand, to determine where, when, and which type of substations, lines or d...
详细信息
The task of training deep neural networks on a large amount of data requires a lot of resources. The solution of such a problem is often impossible to carry out on one computing device in an adequate time. distributed...
详细信息
In recent years, the contradiction between the shortage of global energy resources and the rapid growth of human electricity demand has become increasingly severe. From the perspective of load, it is mainly reflected ...
详细信息
The inversion of a matrix, which is computationally intensive and involves numerous operations, is extensively used in various scientific and engineering applications. The block matrix inverse formula for n x n matric...
详细信息
Phase retrieval is a crucial step in processing data from advanced X-ray diffraction imaging experiments to analyze the 3D structure of biological macromolecules. However, when the 3D volume is large-scale and consist...
详细信息
暂无评论