Results 131 to 140 of about 38,231 (311)

Soliton confinement in a quantum circuit. [PDF]

Nat Commun, 2023
Roy A, Lukyanov SL.
europepmc   +1 more source

High‐Yield Synthesis of Fe‐NC Electrocatalysts Using Mg2+ Templating and Schiff‐Base Porous Organic Polymers

Advanced Functional Materials, EarlyView.
Fe─NC porous oxygen reduction electrocatalysts are prepared employing a 2,4,6‐Triaminopyrimidine‐based porous organic polymer, a Mg2+ Lewis acid, and a low‐temperature cation exchange protocol. Using the polymer precursor achieves high pyrolysis yields and results in atomically dispersed FeNx sites. The resulting catalysts feature hierarchical porosity
Eliot Petitdemange, Jinjie Zhu, Angus Pedersen, Joseph Parker, S. Esmael Balaghi, Shaohua Li, Silvia Favero, José Ignacio Martínez, Sarah Haigh, Maria‐Magdalena Titirici, Anna Fischer, Jesús Barrio   +11 more
wiley   +1 more source

Single-Photon Transistor in Circuit Quantum Electrodynamics [PDF]

, 2013
Lukas Neumeier, Martin Leib, Michael J. Hartmann   +2 more
openalex   +1 more source

Tuning the Electronic Structure and Spin State of Fe─N─C Catalysts Using an Axial Oxygen Ligand and Fe Clusters for High‐Efficiency Rechargeable Zinc–Air Batteries

Advanced Functional Materials, EarlyView.
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou, Yu Mao, Mengyao Chang, Ziyun Wang, Wenke Xie, Cuizhu Ye, Shanghai Wei, Lars Thomsen, Geoffrey I. N. Waterhouse   +8 more
wiley   +1 more source

Bell Sampling from Quantum Circuits

Physical Review Letters
A central challenge in the verification of quantum computers is benchmarking their performance as a whole and demonstrating their computational capabilities. In this work, we find a universal model of quantum computation, Bell sampling, that can be used for both of those tasks and thus provides an ideal stepping stone towards fault-tolerance.
Dominik Hangleiter, Michael J. Gullans
openaire   +3 more sources

High-fidelity geometric quantum gates exceeding 99.9% in germanium quantum dots

Nature Communications
Achieving high-fidelity and robust qubit manipulations is a crucial requirement for realizing fault-tolerant quantum computation. Here, we demonstrate a single-hole spin qubit in a germanium quantum dot and characterize its control fidelity using gate ...
Yu-Chen Zhou, Rong-Long Ma, Zhenzhen Kong, Ao-Ran Li, Chengxian Zhang, Xin Zhang, Yang Liu, Hao-Tian Jiang, Zhi-Tao Wu, Gui-Lei Wang, Gang Cao, Guang-Can Guo, Hai-Ou Li, Guo-Ping Guo   +13 more
doaj   +1 more source

A Van der Waals Optoelectronic Synapse with Tunable Positive and Negative Post‐Synaptic Current for Highly Accurate Spiking Neural Networks

Advanced Functional Materials, EarlyView.
A van der Waals optoelectronic synaptic device based on a ReS2/WSe2 heterostructure and oxygen‐treated h‐BN is presented, which enables both positive and negative PSCs through photocarrier polarity reversal. Bidirectional plasticity arises from gate‐tunable band bending and charge trapping‐induced quasi‐doping.
Hyejin Yoon, Soeun Park, Yeong Kwon Kim, Juhwan Baek, Ki Han Kim, Seongil Yun, Hyeonchang Son, Jeongeun Choi, Byung Chul Jang, Dong‐Ho Kang   +9 more
wiley   +1 more source

Benchmarking Quantum Circuit Transformation With QKNOB Circuits

IEEE Transactions on Quantum Engineering
Current superconducting quantum devices impose strict connectivity constraints on quantum circuit execution, necessitating circuit transformation before executing quantum circuits on physical hardware. Numerous quantum circuit transformation (QCT) algorithms have been proposed.
Sanjiang Li, Xiangzhen Zhou, Yuan Feng
openaire   +3 more sources

Quantum Circuit Components for Cognitive Decision-Making. [PDF]

Entropy (Basel), 2023
Widdows D, Rani J, Pothos EM.
europepmc   +1 more source

Are Quantum Circuits Better than Neural Networks at Learning Multi-dimensional Discrete Data? An Investigation into Practical Quantum Circuit Generative Models [PDF]

, 2022
Pengyuan Zhai
openalex   +1 more source