Results 21 to 30 of about 654,903 (239)

Demonstrating multi-round subsystem quantum error correction using matching and maximum likelihood decoders

Nature Communications, 2023
Quantum error correction offers a promising path for performing high fidelity quantum computations. Although fully fault-tolerant executions of algorithms remain unrealized, recent improvements in control electronics and quantum hardware enable ...
Neereja Sundaresan, Theodore J. Yoder, Youngseok Kim, Muyuan Li, Edward H. Chen, Grace Harper, Ted Thorbeck, Andrew W. Cross, Antonio D. Córcoles, Maika Takita   +9 more
doaj   +1 more source

Iterative quantum amplitude estimation

npj Quantum Information, 2021
We introduce a variant of Quantum Amplitude Estimation (QAE), called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only based on Grover’s Algorithm, which reduces the required number of qubits and gates.
Dmitry Grinko, Julien Gacon, Christa Zoufal, Stefan Woerner   +3 more
doaj   +1 more source

Simulations of self-propelled anguilliform swimming using the immersed boundary method in OpenFOAM

Engineering Applications of Computational Fluid Mechanics, 2019
This study extends the existing immersed boundary method (IBM) in the open source toolbox OpenFOAM for solving fluid-structure interactions involving the immersed structure with changeable shapes.
Hui Feng, Zhaomeng Wang, Peter A. Todd, Heow Pueh Lee   +3 more
doaj   +1 more source

Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators

Nature Communications, 2023
Analog in-memory computing—a promising approach for energy-efficient acceleration of deep learning workloads—computes matrix-vector multiplications but only approximately, due to nonidealities that often are non-deterministic or nonlinear.
Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan   +12 more
doaj   +1 more source

GARCH Model IBM Stock Forecasting of Price Volatility

International Journal of Electronics and Communications System
Risk and volatility are two related factors in research regarding capital markets. Many factors influence the movement of shares and indices. Volatility is common and affects risk assessment. Stock price volatility is an important aspect of understanding
Balqis Dwian Fitri Zamzami, Ericson Chandra Sihombing, Veni Zahara Kartika, Christian Arvianus Nathanael Biran, Luluk Muthoharoh, Mika Alvionita Sitinjak   +5 more
doaj   +1 more source

Optimised weight programming for analogue memory-based deep neural networks

Nature Communications, 2022
Device-level complexity represents a big shortcoming for the hardware realization of analogue memory-based deep neural networks. Mackin et al. report a generalized computational framework, translating software-trained weights into analogue hardware ...
Charles Mackin, Malte J. Rasch, An Chen, Jonathan Timcheck, Robert L. Bruce, Ning Li, Pritish Narayanan, Stefano Ambrogio, Manuel Le Gallo, S. R. Nandakumar, Andrea Fasoli, Jose Luquin, Alexander Friz, Abu Sebastian, Hsinyu Tsai, Geoffrey W. Burr   +15 more
doaj   +1 more source

Controlling DC microgrids in communities, buildings and data centers

IET Smart Grid, 2020
Microgrid technology is poised to transform the electricity industry. In the context of commercial/domestic buildings and data centers, where most loads are native direct current, DC microgrids are in fact a natural choice.
Ramachandra Rao Kolluri, Iven Mareels, Iven Mareels, Julian de Hoog, Julian de Hoog   +4 more
doaj   +1 more source

Quantum Computing for Finance: State-of-the-Art and Future Prospects

IEEE Transactions on Quantum Engineering, 2020
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in finance that are ...
Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin, Martin Mevissen, Rudy Raymond, Andrea Simonetto, Stefan Woerner, Elena Yndurain   +8 more
doaj   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

Molecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed, Kerstin Huebner, Katharina Erlenbach‐Wuensch, Chuanpit Hampel, Daniela Thalheim, Adriana Vial‐Roehe, Bodee Nutho, Susanne Merkel, Arndt Hartmann, Pithi Chanvorachote, Regine Schneider‐Stock   +10 more
wiley   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source