Results 81 to 90 of about 6,569,328 (328)
Synchrotron Radiation for Quantum Technology
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
Variational Quantum Algorithms for Differential Equations on a Noisy Quantum Computer
The role of differential equations (DEs) in science and engineering is of paramount importance, as they provide the mathematical framework for a multitude of natural phenomena.
Niclas Schillo, Andreas Sturm
doaj +1 more source
New quantum algorithm for studying NP-complete problems
Ordinary approach to quantum algorithm is based on quantum Turing machine or quantum circuits. It is known that this approach is not powerful enough to solve NP-complete problems.
Accardi +13 more
core +1 more source
Digital-analog quantum algorithm for the quantum Fourier transform [PDF]
Quantum computers will allow calculations beyond existing classical computers. However, current technology is still too noisy and imperfect to construct a universal digital quantum computer with quantum error correction.
Ana Martin +3 more
semanticscholar +1 more source
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu +5 more
wiley +1 more source
Optimizing quantum convolutional neural network architectures for arbitrary data dimension
Quantum convolutional neural networks (QCNNs) represent a promising approach in quantum machine learning, paving new directions for both quantum and classical data analysis.
Changwon Lee +8 more
doaj +1 more source
Quantum annealing with twisted fields
Quantum annealing (QA) is a promising method for solving combinational optimization problems and performing quantum chemical calculations. The main sources of errors in QA are the effects of decoherence and non-adiabatic transition.
Takashi Imoto +3 more
doaj +1 more source
Learning with Errors is easy with quantum samples
Learning with Errors is one of the fundamental problems in computational learning theory and has in the last years become the cornerstone of post-quantum cryptography.
Grilo, Alex B. +2 more
core +2 more sources
Quantum Algorithm Implementations for Beginners [PDF]
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers.
Patrick J. Coles +31 more
semanticscholar +1 more source
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri +6 more
wiley +1 more source

