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Continuous-variable quantum key distribution (CV-QKD) enables secure communication over standard telecom infrastructure, yet its scaling is stalled by bulky, discrete optical hardware. We address this bottleneck by demonstrating a real-time…

Vector perturbation is an encoding method for broadcast channels in which the transmitter solves a shortest vector problem in a lattice to create a perturbation vector, which is then added to the data before transmission. In this work, we…

Information Theory · Computer Science 2016-04-26 David A. Karpuk , Amaro Barreal , Oliver W. Gnilke , Camilla Hollanti

We introduce a versatile and scalable framework for constructing effective models of superconducting (SC) nanostructures described by the generalized SC Anderson impurity model with multiple quantum dots and leads. Our Chain Expansion (ChE)…

Mesoscale and Nanoscale Physics · Physics 2025-11-21 Daniel Bobok , Lukáš Frk , Vladislav Pokorný , Martin Žonda

Modern information communications use cryptography to keep the contents of communications confidential. RSA (Rivest-Shamir-Adleman) cryptography and elliptic curve cryptography, which are public-key cryptosystems, are widely used…

Cryptography and Security · Computer Science 2023-10-09 Yuri Lucas Direbieski , Hiroki Tanioka , Kenji Matsuura , Hironori Takeuchi , Masahiko Sano , Tetsushi Ueta

We compare the perturbatively calculated QCD potential to that obtained from lattice calculations in the theory without light quark flavours. We examine E_tot(r) = 2 m_pole + V_QCD(r) by re-expressing it in the MSbar mass m =…

High Energy Physics - Phenomenology · Physics 2009-11-07 S. Recksiegel , Y. Sumino

QPACE is a novel massively parallel architecture optimized for lattice QCD simulations. A single QPACE node is based on the IBM PowerXCell 8i processor. The nodes are interconnected by a custom 3-dimensional torus network implemented on an…

High Energy Physics - Lattice · Physics 2011-03-08 Y. Nakamura , A. Nobile , D. Pleiter , H. Simma , T. Streuer , T. Wettig , F. Winter

Printed Electronics (PE) provide a mechanically flexible and cost-effective solution for machine learning (ML) circuits, compared to silicon-based technologies. However, due to large feature sizes, printed classifiers are limited by high…

Machine Learning · Computer Science 2025-01-29 Spyridon Besias , Ilias Sertaridis , Florentia Afentaki , Konstantinos Balaskas , Georgios Zervakis

For years, SIMD/vector units have enhanced the capabilities of modern CPUs in High-Performance Computing (HPC) and mobile technology. Typical commercially-available SIMD units process up to 8 double-precision elements with one instruction.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-14 Pablo Vizcaino , Georgios Ieronymakis , Nikolaos Dimou , Vassilis Papaefstathiou , Jesus Labarta , Filippo Mantovani

We summarize the status of lattice QCD ensemble generation efforts and their data management characteristics. Namely, these proceedings combine the contributions to a dedicated parallel session during the 41st International Symposium on…

We describe how we have used simultaneously ${\cal O}(10^3)$ nodes of the EGEE Grid, accumulating ca. 300 CPU-years in 2-3 months, to determine an important property of Quantum Chromodynamics. We explain how Grid resources were exploited…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Jakub T. Mościcki , Maciej Woś , Massimo Lamanna , Philippe de Forcrand , Owe Philipsen

We propose a Transformer neural network architecture specifically designed for lattice QCD, focusing on preserving the fundamental symmetries required in lattice gauge theory. The proposed architecture is gauge covariant/equivariant,…

High Energy Physics - Lattice · Physics 2025-01-29 Yuki Nagai , Hiroshi Ohno , Akio Tomiya

We present and compare new types of algorithms for lattice QCD with staggered fermions in the limit of infinite gauge coupling. These algorithms are formulated on a discrete spatial lattice but with continuous Euclidean time. They make use…

High Energy Physics - Lattice · Physics 2012-12-03 Wolfgang Unger , Philippe de Forcrand

Deep learning implementations on CPUs (Central Processing Units) are gaining more traction. Enhanced AI capabilities on commodity x86 architectures are commercially appealing due to the reuse of existing hardware and virtualization ease. A…

Machine Learning · Computer Science 2021-03-22 Shabnam Daghaghi , Nicholas Meisburger , Mengnan Zhao , Yong Wu , Sameh Gobriel , Charlie Tai , Anshumali Shrivastava

Lattice Quantum ChromoDynamics (QCD), and by extension its parent field, Lattice Gauge Theory (LGT), make up a significant fraction of supercomputing cycles worldwide. As such, it would be irresponsible not to evaluate machines' suitability…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-23 Ed Bennett , Luigi Del Debbio , Kirk Jordan , Biagio Lucini , Agostino Patella , Claudio Pica , Antonio Rago

Effective Adaptive BitRate (ABR) algorithm or policy is of paramount importance for Real-Time Video Communication (RTVC) amid this pandemic to pursue uncompromised quality of experience (QoE). Existing ABR methods mainly separate the…

Multimedia · Computer Science 2023-12-04 Yueheng Li , Hao Chen , Bowei Xu , Zicheng Zhang , Zhan Ma

Scalar quantization of large language models (LLMs) is fundamentally limited by information-theoretic bounds. While vector quantization (VQ) overcomes these limits by encoding blocks of parameters jointly, practical implementations must…

Machine Learning · Computer Science 2026-03-12 Tycho F. A. van der Ouderaa , Mart van Baalen , Paul Whatmough , Markus Nagel

Printed Electronics (PE) technology has emerged as a promising alternative to silicon-based computing. It offers attractive properties such as on-demand ultra-low-cost fabrication, mechanical flexibility, and conformality. However, PE are…

Machine Learning · Computer Science 2025-02-04 Ilias Sertaridis , Spyridon Besias , Florentia Afentaki , Konstantinos Balaskas , Georgios Zervakis

On-device agents on smartphones increasingly require continuously evolving memory to support personalized, context-aware, and long-term behaviors. To meet both privacy and responsiveness demands, user data is embedded as vectors and stored…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-25 Xinkui Zhao , Qingyu Ma , Yifan Zhang , Hengxuan Lou , Guanjie Cheng , Shuiguang Deng , Jianwei Yin

QCDLAB is a set of programs, written in GNU Octave, for lattice QCD computations. Version 2.0 includes the generation of configurations for the SU(3) theory, computation of rectangle Wilson loops as well as the low lying meson spectrum with…

High Energy Physics - Lattice · Physics 2019-04-22 Artan Borici

In this paper we consider the reachability problem for bounded branching VASS. Bounded VASS are a variant of the classic VASS model where all values in all configurations are upper bounded by a fixed natural number, encoded in binary in the…

Formal Languages and Automata Theory · Computer Science 2019-08-20 Filip Mazowiecki , Michał Pilipczuk