Results 101 to 110 of about 6,748,421 (282)

Measuring the non-abelian quantum phase with the algorithm of quantum phase estimation

Physics Letters A
We propose an approach to measure the quantum phase of an electron in a non-Abelian system using the algorithm of Quantum Phase Estimation (QPE). The discrete-path systems were previously studied in the context of square or rectangular rings. Present focus is on measuring the quantum phases. The merit of the algorithm approach is two-fold.
Seng Ghee Tan, Son-Hsien Chen, Ying-Cheng Yang, Yen-Fu Chen, Yen-Lin Chen, Chia-Hsiu Hsieh   +5 more
openaire   +2 more sources

Quantum phase representation of Heisenberg limits and a minimally resourced quantum phase estimator

Physical Review A, 2016
Within the quantum phase representation we derive Heisenberg limits, in closed form, for N00N states and two other classes of states that can perform better in terms of local performance metrics relevant for multiply-peaked distributions. One of these can also enhance the super-resolution factor beyond that of a N00N state of the same power, at the ...
Shepard, Scott Roger, Moxley III, Frederick Ira, Dowling, Jonathan P.   +2 more
openaire   +3 more sources

GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching

Advanced Functional Materials, EarlyView.
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich, Jörg C. Neuefeind, Chris J. Benmore, Daniele Fontanari, Anton Sokolov, Maxim Khomenko, Shinji Kohara, Aleksei Bytchkov, Takeshi Usuki, Maria Bokova, Mohammad Kassem, Pascal Masselin, Mariana Milochova, Eugene Bychkov   +13 more
wiley   +1 more source

A Note on Quantum Phase Estimation

, 2023
In this work, we study the phase estimation problem. We show an alternative, simpler and self-contained proof of query lower bounds. Technically, compared to the previous proofs [NW99, Bes05], our proof is considerably elementary. Specifically, our proof consists of basic linear algebra without using the knowledge of Boolean function analysis and ...
openaire   +2 more sources

Neuromorphic Devices for Extreme Environments: State‐Variable Reliability and Stabilization Strategies

Advanced Functional Materials, EarlyView.
Neuromorphic devices for extreme environments are interpreted through the physical states that store and process information. Radiation, temperature extremes, and vacuum can perturb vacancies, filaments, trapped charges, polarization, interfaces, and readout signals.
Taehyun Park, Geon Park, Junhyung Cho, Jaechan Song, Wangmyung Choi, Jaehyun Hur, Nicola Gasparini, Hocheon Yoo   +7 more
wiley   +1 more source

Mitigating sloppiness in joint estimation of successive squeezing parameters

New Journal of Physics
When two successive squeezing operations with the same phase are applied to a field mode, reliably estimating the amplitude of each is impossible because the output state depends solely on their sum.
Priyanka Sharma, Stefano Olivares, Devendra Kumar Mishra, Matteo G A Paris   +3 more
doaj   +1 more source

Learning Quantum Phase Estimation by Variational Quantum Circuits

2024 International Joint Conference on Neural Networks (IJCNN)
Quantum Phase Estimation (QPE) stands as a pivotal quantum computing subroutine that necessitates an inverse Quantum Fourier Transform (QFT). However, it is imperative to recognize that enhancing the precision of the estimation inevitably results in a significantly deeper circuit. We developed a variational quantum circuit (VQC) approximation to reduce
Chen-Yu Liu, Kuan-Cheng Chen, Chu-Hsuan Abraham Lin   +2 more
openaire   +3 more sources

An adaptive Bayesian quantum algorithm for phase estimation

, 2023
Quantum-phase-estimation algorithms are critical subroutines in many applications for quantum computers and in quantum-metrology protocols. These algorithms estimate the unknown strength of a unitary evolution.
Smith, Joseph G., Arvidsson-Shukur, David R. M., Barnes, Crispin H. W.   +2 more
core  

Remote Activation of Wnt Signaling and Cell Proliferation by E‐Cadherin Magnetomechanical Stimulation

Advanced Functional Materials, EarlyView.
A pioneering magnetogenetic toolkit enables non‐invasive, precise spatiotemporal modulation of intracellular Wnt/β‐catenin signaling. Functionalized magnetic nanoparticles (MNPs@E/EC15) target cellular E‐cadherins to generate localized magnetomechanical forces under low‐intensity magnetic fields.
Christian Castro‐Hinojosa, Pablo Martínez‐Vicente, Lucía G. Recaredo, Susel Del Sol‐Fernández, Pilar Gomollón‐Zueco, Yilian Fernández‐Afonso, Raluca M. Fratila, María Moros   +7 more
wiley   +1 more source

LuGo: An enhanced quantum phase estimation implementation

Future Generation Computer Systems
Quantum Phase Estimation (QPE) is a cardinal algorithm in quantum computing that plays a crucial role in various applications, including cryptography, molecular simulation, and solving systems of linear equations. However, the standard implementation of QPE faces challenges related to time complexity and circuit depth, which limit its practicality for ...
Chao Lu, Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi   +2 more
openaire   +3 more sources