Results 111 to 120 of about 322,484 (286)

Multiblock ADMM Heuristics for Mixed-Binary Optimization on Classical and Quantum Computers

IEEE Transactions on Quantum Engineering, 2020
Solving combinatorial optimization problems on current noisy quantum devices is currently being advocated for (and restricted to) binary polynomial optimization with equality constraints via quantum heuristic approaches.
Claudio Gambella, Andrea Simonetto
doaj   +1 more source

Image recognition with an adiabatic quantum computer I. Mapping to quadratic unconstrained binary optimization [PDF]

, 2008
Many artificial intelligence (AI) problems naturally map to NP-hard optimization problems. This has the interesting consequence that enabling human-level capability in machines often requires systems that can handle formally intractable problems.
Macready, William G., Neven, Hartmut, Rose, Geordie   +2 more
core  

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Approximate Solutions of Combinatorial Problems via Quantum Relaxations

IEEE Transactions on Quantum Engineering
Combinatorial problems are formulated to find optimal designs within a fixed set of constraints and are commonly found across diverse engineering and scientific domains.
Bryce Fuller, Charles Hadfield, Jennifer R. Glick, Takashi Imamichi, Toshinari Itoko, J. Richard Thompson, Yang Jiao, M. Marna Kagele, W. Blom-Schieber Adriana, Rudy Raymond, Antonio Mezzacapo   +10 more
doaj   +1 more source

For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances [PDF]

, 2018
The Quantum Approximate Optimization Algorithm, QAOA, uses a shallow depth quantum circuit to produce a parameter dependent state. For a given combinatorial optimization problem instance, the quantum expectation of the associated cost function is the ...
Brandao, Fernando G. S. L., Broughton, Michael, Farhi, Edward, Gutmann, Sam, Neven, Hartmut   +4 more
core   +1 more source

Supraparticles Composed of Graphitic Carbon Nitride Nanoparticles and Silica‐Supported Horseradish Peroxidase as Customizable Hybrid Catalysts for Photo‐Biocatalytic Cascade Reactions in Continuous Flow

Advanced Functional Materials, EarlyView.
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig, Egzon Cermjani, Doris Hanselmann, Johannes Prieschl, Angelika Schmitt, Michael S. Moritz, Christian Papp, Greta Nölke, Stefano Di Fiore, Christoph Deckers, Thomas H. Rehm, Susanne Wintzheimer   +11 more
wiley   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

PennyLane: Automatic differentiation of hybrid quantum-classical computations

, 2020
PennyLane is a Python 3 software framework for optimization and machine learning of quantum and hybrid quantum-classical computations. The library provides a unified architecture for near-term quantum computing devices, supporting both qubit and ...
Ahmed, Shahnawaz, Alam, M. Sohaib, Arrazola, Juan Miguel, Bergholm, Ville, Blank, Carsten, Delgado, Alain, Gogolin, Christian, Izaac, Josh, Jahangiri, Soran, Killoran, Nathan, McKiernan, Keri, Meyer, Johannes Jakob, Niu, Zeyue, Schuld, Maria, Száva, Antal   +14 more
core  

Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation

Advanced Functional Materials, EarlyView.
Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna, Katarina Gugujonovic, Manuela Schiek, Alessandro Bellapianta, Paul Werginz, Amelie Ziller, Markus Clark Scharber, Ahmad Salti, Matthias Bolz, Mihai Irimia‐Vladu, Günther Zeck   +10 more
wiley   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source