Results 101 to 110 of about 1,815,218 (351)

Enhancing quantum annealing in digital–analog quantum computing

open access: yesAPL Quantum
Digital–analog quantum computing (DAQC) offers a promising approach to addressing the challenges of building a practical quantum computer. By efficiently allocating resources between digital and analog quantum circuits, DAQC paves the way for achieving ...
Tadashi Kadowaki
doaj   +1 more source

Ferrocene Derivatives Enable Ultrasensitive Perovskite Photodetectors with Enhanced Reverse Bias Stability

open access: yesAdvanced Functional Materials, EarlyView.
Novel ferrocene derivatives (e.g., FcPhc2) are used as an ultrathin layer hole‐blocking layer, reducing hole injection from the Ag contact. This results in an ultralow noise spectral density of 1.2 × 10−14 A Hz−1/2, and a high specific detectivity of 8.1 × 1012 Jones at −0.5 V.
Eunyoung Hong   +16 more
wiley   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

open access: yesAdvanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai   +8 more
wiley   +1 more source

Benchmarking Quantum Annealing Controls with Portfolio Optimization [PDF]

open access: yesPhysical Review Applied, 2020
Quantum annealing offers a novel approach to finding the optimal solutions for a variety of computational problems, where the quantum annealing controls influence the observed performance and error mechanisms by tuning the underlying quantum dynamics ...
E. Grant, T. Humble, B. Stump
semanticscholar   +1 more source

Synchrotron Radiation for Quantum Technology

open access: yesAdvanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader   +10 more
wiley   +1 more source

Photoactivation of NV Centers in Diamond via Continuous Wave Laser Illumination of Shallow As‐Implanted Nitrogen

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates an alternative method of creating charge‐stable negatively charged nitrogen vacancy (NV−) centers close to the diamond surface without high‐temperature annealing. By illuminating nitrogen‐implanted regions with a continuous‐wave 405 nm laser, NV− centers are induced, exhibiting electron spin coherence properties suitable for ...
Jens Fuhrmann   +4 more
wiley   +1 more source

Quantum Algorithms for Simulated Annealing [PDF]

open access: yes, 2015
This paper summarizes a quantum algorithm of [R.D. Somma, et.al., Phys. Rev. Lett. 101, 130504 (2008)] that simulates a classical annealing process for solving discrete optimization problems. The complexity of the quantum algorithm scales with the inverse square root of the spectral gap of an associated stochastic matrix.
Boixo, Sergio, Somma, Rolando D.
openaire   +2 more sources

Mathematical foundation of quantum annealing [PDF]

open access: yesJournal of Mathematical Physics, 2008
Quantum annealing is a generic name of quantum algorithms that use quantum-mechanical fluctuations to search for the solution of an optimization problem. It shares the basic idea with quantum adiabatic evolution studied actively in quantum computation. The present paper reviews the mathematical and theoretical foundations of quantum annealing.
Satoshi Morita, Hidetoshi Nishimori
openaire   +3 more sources

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

open access: yesCommunications 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   +5 more
doaj   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

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