Results 171 to 180 of about 1,815,218 (351)

Quantum‐Grade Nanodiamonds from a Single‐Step, Industrial‐Scale Pressure and Temperature Process

Advanced Functional Materials, EarlyView.
Novel method for creation of nitrogen‐vacancy centers in 50‐nm nanodiamonds based on high‐temperature plastic deformation is demonstrated. Compared to the electron irradiation approach, it yields nitrogen‐vacancy centers with significantly improved charge stability, T1 relaxation time, and optical Rabi contrast.
Yahua Bao, Michal Gulka, Parkarsh Kumar, Jakub Copak, Priyadharshini Balasubramanian, Yuliya Mindarava, Rémi Blinder, Michael Olney‐Fraser, Haotian Wen, Hana Spanielova, Helen Zhi Jie Zeng, Benjamin Whitefield, Igor Aharonovich, Jaroslav Hruby, Fedor Jelezko, J. Daniel Belnap, Shery L. Y. Chang, Petr Cigler   +17 more
wiley   +1 more source

Quantum simulated annealing

, 2000
The question of whether or not quantum computers can efficiently solve NP-complete problems is open, although indications are that BQP does not contain NP. Still, many of these problems are natural candidates for solution on quantum computers. We outline a thermodynamical formalism for the traveling salesman problem which allows for its expected ...
openaire   +2 more sources

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

Can Constrained Quantum Annealing Be Effective in Noisy Quantum Annealers?

Journal of the Physical Society of Japan
We investigate the performance of penalty-based quantum annealing (PQA) and constrained quantum annealing (CQA) in solving the graph partitioning problem under various noise models, including depolarizing, bit-flip, and phase-flip noise. We found that even in the absence of noise, the relative superiority of PQA or CQA is highly problem-dependent.
Ryoya Igata, Myonsok I, Yuya Seki, Yuta Mizuno, Shohei Watabe   +4 more
openaire   +2 more sources

Ising Hamiltonian minimization: Gain-based computing with manifold reduction of soft spins vs quantum annealing

Physical Review Research
We investigate the minimization of Ising Hamiltonians, comparing the performance of gain-based computing paradigms based on the dynamics of semiclassical soft-spin models with quantum annealing.
James S. Cummins, Hayder Salman, Natalia G. Berloff   +2 more
doaj   +1 more source

Extensive Review of Materials for Next‐Generation Transparent Batteries and Their Design Strategies

Advanced Functional Materials, EarlyView.
Review explores emerging materials and design strategies for transparent batteries, examining electrodes, electrolytes, separators, and device architectures optimized for high electrochemical performance, mechanical flexibility, and optical transparency.
Atul Kumar Mishra, Shuvaraj Ghosh, Malkeshkumar Patel, Sourov Hossain, Ju‐Hyung Yun, Joondong Kim   +5 more
wiley   +1 more source

Optimization of quantum computing models inspired by D-wave quantum annealing [PDF]

, 2020
Baonan Wang, Feng Hu, Chao Wang
openalex   +1 more source

The Effect of Purcell Cavities on the Lifetime of Thermally Activated Delayed Fluorescent Emitters

Advanced Functional Materials, EarlyView.
A pressing challenge to OLED displays and lighting is to balance high efficiency and long operational lifetime in the deep blue spectrum. The Purcell effect can reduce the triplet density and hence the probability for destructive energy‐driven triplet annihilation events that limit the OLED lifetime. Here we study of the Purcell effect on two different
Sritoma Paul, Haonan Zhao, Collin N. Muniz, Mark E. Thompson, Stephen R. Forrest   +4 more
wiley   +1 more source

Benchmarking Metaheuristic-Integrated QAOA against Quantum Annealing [PDF]

, 2023
Arul Rhik Mazumder, Anuvab Sen, Udayon Sen   +2 more
openalex   +1 more source

Quantum annealing-based feature selection

Neurocomputing
Feature selection is crucial for enhancing the accuracy and efficiency of machine learning models. This work investigates the possibility of the usefulness of a quantum annealer to tackle the challenge of selecting features based on maximizing mutual information (MI) and conditional mutual information (CMI).
Pranjic, Daniel, Mummaneni, Bharadwaj Chowdary, Tutschku, Christian Klaus   +2 more
openaire   +1 more source