Results 101 to 110 of about 2,602,800 (301)

Communicating quantum processes [PDF]

open access: yes, 2005
We define a language CQP (Communicating Quantum Processes) for modelling systems which combine quantum and classical communication and computation.
Simon J. Gay   +5 more
core   +1 more source

A Testing Pipeline for Quantum Computing Applications

open access: yes, 2023
5459As the scientific community is increasing the coverage of the quantum computing domain ranging from theoretical physics to financial applications, so does the number of quantum computing applications being developed for quantum computing hardware ...
Gheorghe-Pop, Ilie-Daniel   +2 more
core   +1 more source

Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor

open access: yesAdvanced Functional Materials, EarlyView.
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben   +6 more
wiley   +1 more source

Practical quantum computing: error reduction techniques from software to hardware [PDF]

open access: yes
This thesis presents multiple advances in the construction of noise-resistant quantum computers. In order to bridge the gap between abstract theory and practical experiments, my research encompasses a wide range of subfields within quantum computing ...
Siegel, Adam
core   +1 more source

Quantifying Subsurface Weak in‐Plane Magnetization of Mixed Phase BiFeO3 by Scanning Nitrogen Vacancy Magnetometry

open access: yesAdvanced Functional Materials, EarlyView.
We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang   +14 more
wiley   +1 more source

Toward Practical Application of the Quantum Carleman Lattice Boltzmann Method in Industrial CFD Simulations

open access: yesIEEE Transactions on Quantum Engineering
Computational fluid dynamics (CFD) simulations are crucial in industrial applications but require extensive computational resources, particularly for extreme turbulent regimes.
Francesco Turro   +2 more
doaj   +1 more source

Glissile Interphase Boundaries Enable Collective Phase Switching in Epitaxial Polar Oxides

open access: yesAdvanced Functional Materials, EarlyView.
A triple point is identified in the phase diagram of low‐symmetry epitaxial BiFeO3 thin film along with an extended regime of phase competition associated with a flattened energy landscape. The electromechanical response is shown to be governed by correlated interphase‐boundary motion, including scale‐free avalanche dynamics characteristic of systems ...
Mohammad Moein Seyfouri   +11 more
wiley   +1 more source

Giant Magnetic Coercivity Driven by Spin‐Bag Ferromagnetism in Epitaxial Sr3YCo4O10+δ Films with Engineered 2D Oxygen Vacancy Ordering

open access: yesAdvanced Functional Materials, EarlyView.
A giant magnetic coercivity and a vertical shift of hysteresis loops are demonstrated in Sr3YCo4O10+δ epitaxial films. The hard magnetic behavior originates from ferromagnetic spin bags stabilized within a long‐range ordered oxygen‐vacancy structure.
Yanbin Chen   +12 more
wiley   +1 more source

Impact of measurement noise on escaping saddles in variational quantum algorithms

open access: yesScientific Reports
Stochastic gradient descent (SGD) is a widely used optimization technique in classical machine learning and the Variational Quantum Eigensolver (VQE). In VQE implementations on quantum hardware, measurement shot noise is inevitable.
Eriko Kaminishi   +3 more
doaj   +1 more source

Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization

open access: yesEntropy, 2017
A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this problem using ...
Jonathan Schrock   +4 more
doaj   +1 more source

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