Results 61 to 70 of about 25,693 (251)

Parameter setting for quantum annealers [PDF]

2016 IEEE High Performance Extreme Computing Conference (HPEC), 2016
We develop and apply several strategies for setting physical parameters on quantum annealers for application problems that do not fit natively on the hardware graph. The strategies are tested with a culled random set of mixed satisfiability problems, yielding results that generalize to guidelines regarding which parameter setting strategies to use for ...
openaire   +2 more sources

Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor

Advanced 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, Nicolas Gauquelin, Arno Annys, Zhaoliang Liao, Jo Verbeeck, Guus Rijnders, Gertjan Koster   +6 more
wiley   +1 more source

Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene

Advanced Functional Materials, EarlyView.
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus, Bradlee J. McIntosh, Lili Vajtai, Anna Nyáry, Sándor H. Sipos, Nirmal J. Ghimire, Ferenc Simon, László Forró, Dávid Beke   +8 more
wiley   +1 more source

Quantum annealing – foundations and frontiers [PDF]

The European Physical Journal Special Topics, 2015
We briefly review various computational methods for the solution of optimization problems. First, several classical methods such as Metropolis algorithm and simulated annealing are discussed. We continue with a description of quantum methods, namely adiabatic quantum computation and quantum annealing.
Cohen, Eliahu, Tamir, Boaz
openaire   +2 more sources

Chiral Phase Change Nanomaterials

Advanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow, Md Shah Alam, Riad Yahiaoui, Evan M. Smith, Ryan Laing, Jules Gardener, Thomas A. Searles, Piyush J. Shah, Shivashankar Vangala, Joshua R. Hendrickson, Andrew M. Sarangan, Imad Agha   +11 more
wiley   +1 more source

Speedup of high-order unconstrained binary optimization using quantum $${{\mathbb{Z}}}_{2}$$ Z 2 lattice gauge theory

Communications Physics
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang, Xiaopeng Cui, Qingguo Zeng, Yemin Zhan, Man-Hong Yung, Yu Shi   +5 more
doaj   +1 more source

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

Advanced 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, Roger Guzman, Xiaomin Jia, Jialu Wu, Xing Xu, Li Sun, Jinbo Pan, Shixuan Du, Myung‐Hwan Whangbo, Wu Zhou, Jing Ma, Ce‐wen Nan, Chonglin Chen   +12 more
wiley   +1 more source

Quantum Annealing

Abstract Quantum annealing is a quantum optimization approach designed to solve complex problems that require finding the optimal solution among a vast number of choices. These problems are often difficult or impossible for classical computers to handle efficiently.
Carleton Coffrin, Marc Vuffray
  +5 more sources

Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing

Physical Review X, 2018
The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing. A more modest goal is to demonstrate a scaling advantage over a class of classical algorithms for a computational problem running on quantum hardware ...
Tameem Albash, Daniel A. Lidar
doaj   +1 more source

Nested quantum annealing correction [PDF]

npj Quantum Information, 2016
AbstractWe present a general error-correcting scheme for quantum annealing that allows for the encoding of a logical qubit into an arbitrarily large number of physical qubits. Given any Ising model optimization problem, the encoding replaces each logical qubit by a complete graph of degree C, representing the distance of the error-correcting code.
Vinci, Walter, Albash, Tameem, Lidar, Daniel A.   +2 more
openaire   +2 more sources