#tensornetworks

[ayumi-yoshioka]

月刊JICFuSムービーの音楽とサウンドを担当しました。今回は、量子コンピュータのためのシミュレーションを開発研究している、理研の白川知功博士のインタビュー映像です。

［ムービークレジット］ ナビゲーター：白川知功（理化学研究所 計算科学研究センター〈R-CCS〉） 制作：JICFuS（計算基礎科学連携拠点） 撮影協力：理化学研究所（和光）、理化学研究所計算科学研究センター（神戸） 撮影：南口雄一＆加藤元樹 音楽：「Under Construction」吉岡亜由美 演出・製作：南口雄一

「月刊JICFuS」は筑波大学計算科学研究センター、高エネルギー加速器研究機構、国立天文台の3組織が合同で立ち上げた研究組織「JICFuS（計算基礎科学連携拠点）」が発行しているwebマガジンです。

I was in charge of the music and sound for the monthly JICFuS movies. This time, This time, it's an interview with Dr. Tomonori Shirakawa of RIKEN, who is developing and researching simulations for quantum computers.

[Movie Info] Navigator: Tomonori Shirakawa, RIKEN R-CCS Thanks to: RIKEN & RIKEN Center for Computational Science Camera by Yuichi Minamiguchi & Motoki Kato Music by Ayumi Yoshioka “Under Construction” Directed by Yuichi Minamiguchi

“Monthly JICFuS” is a web magazine published by JICFuS (Joint Institute for Computational Fundamental Science), a research organisation jointly established by the University of Tsukuba’s Research Centre for Computational Science, the High Energy Accelerator Research Organisation and the National Astronomical Observatory of Japan.

[ankitcodinghub]

TensorNetwork - Tensor Renormalization Group Algorithm Solved

Renormalization group is a theoretical framework developed to understand the properties of many-body systems in thermodynamic limit. The main idea relies on the assumption that many-body systems at large scales show universal behaviour driven by the collective phenomena, rather than the individual interactions between the constituents. Thus, the aim is to identify and analyise these universal…

[shinjie]

Google’s TensorNetwork library speeds up computation by up to 100 times

Do tensor networks ring a bell? They’re mathematical constructs increasingly used in machine learning to perform complex calculations, but a number of barriers stand in the way of their widespread adoption.

[metabloks]

Google's TensorNetwork library speeds up computation by up to 100 times http://bit.ly/2MIazcT

[eurekakinginc]

Posted by Yuqing7 via /r/artificial. Join Discussion: http://bit.ly/2WDd6ES. Curated by: www.eurekaking.com

[ankitcodinghub]

TensorNetwork - Data compression with quantum Fourier transform Solved

The Fourier Transform is the cornerstone of frequency analysis and the fundamental step in many signal processing algorithms, from noise cancelling to audio and image compression. By working in the Fourier space, we can optimally approximate an input signal, for example, by cutting the frequencies that are not visible/audible by a human. This is the basic principle behind lossy image (JPEG) and…

[ankitcodinghub]

TensorNetwork - Multi-exciton generation in molecular semiconductors via singlet fission Solved

In organic solar cells (OSCs), incident photons are absorbed by a photoactive material to form excited electronic states, known as excitons. Excitons are then transported in the material until they reach an electron acceptor, where they undergo charge separation, producing a photocurrent. However, the short nanosecond lifetime of excitons limits the efficiency of OSCs. Singlet fission is an…

[ankitcodinghub]

TensorNetwork - Solving MaxCut with simulated quantum annealing Solved

QUBO problems pose a significant challenge in optimization, falling under the category of NP-hard problems with diverse applications spanning from finance to machine learning. These problems can be effectively translated into a ground state search for an Ising Hamiltonian and subsequently addressed through quantum annealing. We tackle a QUBO problem by simulating a suitable quantum annealing…

[ankitcodinghub]

TensorNetwork - Solving MaxCut with TN imaginary time evolution Solved

QUBO problems pose a significant challenge in optimization, falling under the category of NP-hard problems with diverse applications spanning from finance to machine learning. These problems can be effectively translated into a ground state search for an Ising Hamiltonian. We tackle a QUBO problem by simulating imaginary time evolution of an initial superposition of all possible configurations…

[ankitcodinghub]

TensorNetwork - Optimizing Camera Placement for Emergency Prevention and Response Solved

The goal of this project is to apply a tensor-network (TN) approach to a combinatorial optimization problem of industrial interest, the Camera Placement problem, and to estimate the scaling towards realistic problem sizes. Hyper-spectral cameras can be deployed to monitor a territory to identify signatures of an imminent extreme natural event, such as floods, earthquakes, and wildfires. Depending…