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We adopt a method of the quantum gate teleportation for converting circuit-based quantum computation primitives into fusion networks. By using the presented scheme for the CNOT gate we construct translation of the circuit for the foliated…

Quantum Physics · Physics 2025-06-11 Ashot Avanesov , Alexander Shurinov , Ivan Dyakonov , Stanislav Straupe

This report presents a comprehensive analysis of the performance of GPU accelerated meshfree CFD solvers for two-dimensional compressible flows in Fortran, C++, Python, and Julia. The programming model CUDA is used to develop the GPU codes.…

Programming Languages · Computer Science 2023-05-03 Nischay Ram Mamidi , Kumar Prasun , Dhruv Saxena , Anil Nemili , Bharatkumar Sharma , S. M. Deshpande

Tensor networks (TNs) are a central computational tool in quantum science and artificial intelligence. However, the lack of unified software interface across tensor-computing frameworks severely limits the portability of TN applications,…

Quantum Physics · Physics 2026-01-01 Rong-Yang Sun , Tomonori Shirakawa , Hidehiko Kohshiro , D. N. Sheng , Seiji Yunoki

In this talk I give the mini-review on recent development in the non-linear QCD (at low $x$).

High Energy Physics - Phenomenology · Physics 2007-10-11 E. Levin

We present a concise but complete conceptual treatment of quantum computing implemented with Cavity Quantum Electrodynamics (CQED. The paper is intended as a brief overview for professionals who are coming over to the field from other areas…

Quantum Physics · Physics 2012-10-25 Zachary Burell

Vast improvements in natural language understanding and speech recognition have paved the way for conversational interaction with computers. While conversational agents have often been used for short goal-oriented dialog, we know little…

Human-Computer Interaction · Computer Science 2020-08-20 Jessica Van Brummelen , Kevin Weng , Phoebe Lin , Catherine Yeo

Extensions to the C++ implementation of the QCD Data Parallel Interface are provided enabling acceleration of expression evaluation on NVIDIA GPUs. Single expressions are off-loaded to the device memory and execution domain leveraging the…

High Energy Physics - Lattice · Physics 2011-11-24 Frank Winter

Quantum optimal control can be used to shape the control pulses for realizing unitary and non-unitary transformations of quantum states. These control pulses provide the fundamental interface between the quantum compiler and the quantum…

Quantum Physics · Physics 2021-10-22 Stefanie Günther , N. Anders Petersson , Jonathan L. Dubois

I describe progress that is being made toward calculating the properties and interactions of nuclei from QCD.

Nuclear Theory · Physics 2009-11-11 Martin J. Savage

We present a C++ software package called PhaseTracer for mapping out cosmological phases, and potential transitions between them, for Standard Model extensions with any number of scalar fields. PhaseTracer traces the minima of effective…

High Energy Physics - Phenomenology · Physics 2020-06-30 Peter Athron , Csaba Balazs , Andrew Fowlie , Yang Zhang

The presence of GPU from different vendors demands the Lattice QCD codes to support multiple architectures. To this end, Open Computing Language (OpenCL) is one of the viable frameworks for writing a portable code. It is of interest to find…

High Energy Physics - Lattice · Physics 2025-02-06 Piyush Kumar , Szabolcs Borsanyi , Jana N. Guenther , Chik Him Wong

The supercomputing platforms available for high performance computing based research evolve at a great rate. However, this rapid development of novel technologies requires constant adaptations and optimizations of the existing codes for…

High Energy Physics - Lattice · Physics 2017-02-23 Marina Krstic Marinkovic , Luka Stanisic

In this paper, we contribute to novelly proposing and elaborating the integration of the ICN, C-RAN and SDN for the HetNet to achieve win-win situation. The vision of the proposed system is demonstrated, followed by the advantages and…

Networking and Internet Architecture · Computer Science 2015-10-23 Chenchen Yang , Zhiyong Chen , Bin Xia , Jiangzhou Wang

Machine learning using quantum convolutional neural networks (QCNNs) has demonstrated success in both quantum and classical data classification. In previous studies, QCNNs attained a higher classification accuracy than their classical…

Quantum Physics · Physics 2023-09-29 Juhyeon Kim , Joonsuk Huh , Daniel K. Park

A program package, which facilitates computations in the framework of Analytic approach to QCD, is developed and described in details. The package includes the explicit expressions for relevant spectral functions calculated up to the…

High Energy Physics - Phenomenology · Physics 2014-11-20 A. V. Nesterenko , C. Simolo

Range trees are multidimensional binary trees which are used to perform d-dimensional orthogonal range searching. In this technical report we study the implementation issues of range trees with fractional cascading, named layered range…

Data Structures and Algorithms · Computer Science 2011-03-24 Vissarion Fisikopoulos

Quantum computing (QC) is anticipated to provide a speedup over classical HPC approaches for specific problems in optimization, simulation, and machine learning. With the advances in quantum computing toward practical applications, the need…

Quantum Physics · Physics 2022-10-26 Jernej Rudi Finžgar , Philipp Ross , Leonhard Hölscher , Johannes Klepsch , Andre Luckow

Over the most recent years, quantized graph neural network (QGNN) attracts lots of research and industry attention due to its high robustness and low computation and memory overhead. Unfortunately, the performance gains of QGNN have never…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-03 Yuke Wang , Boyuan Feng , Yufei Ding

Current PC processors are equipped with vector processing units and have other advanced features that can be used to accelerate lattice QCD programs. Clusters of PCs with a high-bandwidth network thus become powerful and cost-effective…

High Energy Physics - Lattice · Physics 2007-05-23 Martin Lüscher

A model for artificial evolution in native x86 Windows systems has been developed at the end of 2010. In this text, further improvements and additional analogies to natural microbiologic processes are presented. Several experiments indicate…

Neural and Evolutionary Computing · Computer Science 2011-08-09 Thomas Sperl
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