Results 151 to 160 of about 322,484 (286)

Impact of Surface Functionalization on NV Quantum Properties: Implications for Biosensing with Fluorescent Nanodiamonds

Advanced Functional Materials, EarlyView.
Fluorescent nanodiamonds (fNDs) have emerged as an invaluable quantum sensing platform for biological and biochemical systems. This paper investigates the influence of common surface functionalization strategies for bioconjugation on the quantum properties of nitrogen vacancy (NV) centers in nanodiamonds.
Anja Sadžak, Iván Pérez, Mateja Guimarães, Lukas Spantzel, Fedor Jelezko, Michael Börsch, Anke Krueger   +6 more
wiley   +1 more source

Variational quantum multiobjective optimization

Physical Review Research
Solving combinatorial optimization problems on near-term quantum devices has gained a lot of attention in recent years. Currently, most studies have focused on single-objective problems, whereas many real-world applications need to consider multiple, mostly conflicting objectives, such as cost and quality.
Linus Ekstrom, Hao Wang, Sebastian Schmitt   +2 more
openaire   +3 more sources

Using the Photostationary State of Arylazopyrazoles to Control Phase Transitions of Liquid Crystals

Advanced Functional Materials, EarlyView.
A series of new arylazopyrazole photoswitches is designed as dopants for liquid crystalline materials. Unprecedented, the distribution of photoisomers at the photostationary state upon irradiation with light of specific wavelengths (365, 460, 520 nm) is used to control the liquid crystalline phase transitions under isothermal conditions, including ...
Tobias Thiele, Kristina Hrybenko, Christoph Wölper, Michael Giese   +3 more
wiley   +1 more source

Performance analysis of a filtering variational quantum algorithm

New Journal of Physics
Even a minor boost in solving combinatorial optimization problems can greatly benefit multiple industries. Quantum computers, with their unique information processing capabilities, hold promise for delivering such enhancements.
Gabriel Marin-Sanchez, David Amaro
doaj   +1 more source

Connection between single-layer quantum approximate optimization algorithm interferometry and thermal distribution sampling

Frontiers in Quantum Science and Technology
The quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it was
Pablo Díez-Valle, Diego Porras, Juan José García-Ripoll   +2 more
doaj   +1 more source

Intermixing‐Driven Growth of Highly Oriented Indium Phosphide on Black Phosphorus

Advanced Functional Materials, EarlyView.
This study demonstrates controlled intermixing and compound formation at the In/black phosphorus (BP) interface, leading to highly oriented InP formation. Comprehensive structural and electrical analyses reveal tunable bandgap behavior governed by competing BP thinning and charge‐transfer effects, underscoring the critical role of interfacial compound ...
Tae Keun Yun, Min Gyeong Shin, Uje Choi, Jieun Yeon, Jae Joon Kim, Yangjin Lee, Kwanpyo Kim   +6 more
wiley   +1 more source

Coexisting Rashba/Dresselhaus Spin Splitting in Solution‐Processed Bournonite Films Using Circular Photogalvanic Effect

Advanced Functional Materials, EarlyView.
Circular photogalvanic effect measurements and first‐principles calculations reveal spin‐splitting states in solution‐processed bournonite films (CuPbSbS3) due to structural and bulk inversion asymmetry. The results provide experimental confirmation of coexisting Rashba and Dresselhaus spin‐splitting states in this non‐centrosymmetric chalcogenide ...
Aeron McConnell, Sasa Wang, Andrew Grieder, Yuan Ping, David B. Mitzi, Dali Sun   +5 more
wiley   +1 more source

Experimental demonstration of improved quantum optimization with linear Ising penalties

New Journal of Physics
The standard approach to encoding constraints in quantum optimization is the quadratic penalty method. Quadratic penalties introduce additional couplings and energy scales, which can be detrimental to the performance of a quantum optimizer.
Puya Mirkarimi, David C Hoyle, Ross Williams, Nicholas Chancellor   +3 more
doaj   +1 more source

Toughening β‐Ga2O3 via Mechanically Seeded Dislocations

Advanced Functional Materials, EarlyView.
β‐Ga2O3 is promising for next‐generation semiconductors but its brittleness limits flexible and high‐precision applications. Here, mechanically seeded dislocations introduced by surface deformation improved damage tolerance in (001) β‐Ga2O3. Nanoindentation and characterization show dislocations suppress cleavage cracks by enabling stable plastic ...
Zanlin Cheng, Jiawen Zhang, Peng Gao, Guosong Zeng, Xufei Fang, Wenjun Lu   +5 more
wiley   +1 more source

Heuristic Time Complexity of NISQ Shortest-Vector-Problem Solvers

IEEE Transactions on Quantum Engineering
The shortest vector problem (SVP) is central to the security of lattice-based cryptography, forming the foundation of two of the three NIST-standardized postquantum cryptosystems. Understanding how quantum algorithms perform on SVP is vital for assessing
Milos Prokop, Petros Wallden
doaj   +1 more source