Results 71 to 80 of about 2,578 (158)

Quantum Lego Expansion Pack: Enumerators from Tensor Networks

PRX Quantum
We provide the first tensor-network method for computing quantum weight enumerator polynomials in the most general form. If a quantum code has a known tensor-network construction of its encoding map, our method is far more efficient, and in some cases ...
ChunJun Cao, Michael J. Gullans, Brad Lackey, Zitao Wang   +3 more
doaj   +1 more source

Simulation of thermal-relaxation noise for quantum error correction

Physical Review Research
Stabilizer-based simulation of quantum error-correcting codes typically relies on the Pauli-twirling approximation (PTA) to render non-Clifford noise classically tractable, but PTA can distort the behavior of physically relevant channels such as thermal ...
Sean R. Garner, Nathan M. Myers, Meng Wang, Samuel Stein, Chenxu Liu, Ang Li   +5 more
doaj   +1 more source

Low depth virtual distillation of quantum circuits by deterministic circuit decomposition

Physical Review Research
Virtual distillation using measurements of multiple copies of a quantum circuit have recently been proposed as a method of noise mitigation of expectation values.
Akib Karim, Shaobo Zhang, Muhammad Usman
doaj   +1 more source

Efficient Pauli-decomposition and multistage state-refinement for tensor network based differential equation solver

Classical numerical techniques for solving partial differential equations (PDEs) become computationally expensive as the dimension of the discretized differential operator increases. For PDEs giving rise to Sturm--Liouville problems, tensor network (TN) methods can be highly productive: an operator of dimension $N\times N$ can be represented as a ...
Gholap, Vishwabhushan Suresh, Dhar, Himadri Shekhar, Santra, Siddhartha   +2 more
openaire   +2 more sources

A Novel Detection Transformer Framework for Ship Detection in Synthetic Aperture Radar Imagery Using Advanced Feature Fusion and Polarimetric Techniques

Remote Sensing
Ship detection in synthetic aperture radar (SAR) imagery faces significant challenges due to the limitations of traditional methods, such as convolutional neural network (CNN) and anchor-based matching approaches, which struggle with accurately detecting
Mahmoud Ahmed, Naser El-Sheimy, Henry Leung   +2 more
doaj   +1 more source

Copper‐Catalyzed Defluorinative Allylboration of Allenes with Trifluoromethyl Alkenes

ChemistryEurope
An N‐heterocyclic carbene/Cu‐catalyzed coupling of allenes, bis(pinacolato)diboron, and trifluoromethyl alkenes is reported. The method allows access to stereodefined borylated 1,1‐difluoro‐1,5‐dienes with high levels of selectivity. The integration of a
Martín Piñeiro‐Suárez, Hugo Jiménez‐Cristóbal, Israel Fernández, Martín Fañanás‐Mastral   +3 more
doaj   +1 more source

Performance of an Effective SAR Polarimetric Calibration Method Using Polarimetric Active Radar Calibrators: Numerical Simulations and LT-1 Experiments

Remote Sensing
This paper presents a new approach to polarimetric calibration, extending classical PARC-based methods by exploring new matrix combinations that broaden the applicability of the existing techniques. By investigating alternative matrix configurations, the
Yibin Chen, Liang Li, Guikun Liu, Zhengshuai Li   +3 more
doaj   +1 more source

Towards enhancing quantum expectation estimation of matrices through partial Pauli decomposition techniques and post-processing

We introduce an approach for estimating the expectation values of arbitrary $n$-qubit matrices $M \in \mathbb{C}^{2^n\times 2^n}$ on a quantum computer. In contrast to conventional methods like the Pauli decomposition that utilize $4^n$ distinct quantum circuits for this task, our technique employs at most $2^n$ unique circuits, with even fewer ...
Lu, Dingjie, Li, Yangfan, Koh, Dax Enshan, Wang, Zhao, Liu, Jun, Liu, Zhuangjian   +5 more
openaire   +2 more sources

Physics-Guided Polarimetric Feature Selection Based on Dual-Branch Networks for PolSAR Agriculture Field Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning methods have been widely applied to polarimetric synthetic aperture radar land cover classification. However, their performance is often constrained by information loss and the presence of visually similar patterns caused by similar ...
Yueyang Zhou, Junjun Yin, Jian Yang
doaj   +1 more source

Physics-informed neural networks for an optimal counterdiabatic quantum computation

Machine Learning: Science and Technology
A novel methodology that leverages physics-informed neural networks to optimize quantum circuits in systems with $\mathrm{N}_{\mathrm{Q}}$ qubits by addressing the counterdiabatic (CD) protocol is introduced.
Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales, José J Orquín-Marqués, Narendra N Hegade, Alejandro Gomez Cadavid, Iraitz Montalban, Enrique Solano, Yolanda Vives-Gilabert, José D Martín-Guerrero   +9 more
doaj   +1 more source