Results 111 to 120 of about 41,319 (304)
Adversary lower bounds for nonadaptive quantum algorithms [PDF]
, 2008 International audienceWe present general methods for proving lower bounds on the query complexity of nonadaptive quantum algorithms.
Yao, PH +11 more
core +1 more source
Advanced Materials, EarlyView.Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Quantum circuits cannot control unknown operations
New Journal of Physics, 2014 One of the essential building blocks of classical computer programs is the ‘ if ’ clause, which executes a subroutine depending on the value of a control variable.
Mateus Araújo +3 more
doaj +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Exact and efficient simulation of concordant computation
New Journal of Physics, 2015 Concordant computation is a circuit-based model of quantum computation for mixed states, that assumes that all correlations within the register are discord-free (i.e. the correlations are essentially classical) at every step of the computation.
Hugo Cable, Daniel E Browne
doaj +1 more source
Quantum Optimization Algorithms
CoRRQuantum optimization allows for up to exponential quantum speedups for specific, possibly industrially relevant problems. As the key algorithm in this field, we motivate and discuss the Quantum Approximate Optimization Algorithm (QAOA), which can be understood as a slightly generalized version of Quantum Annealing for gate-based quantum computers.
Jonas Stein 0001 +3 more
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Photon-native quantum algorithms
Materials for Quantum TechnologyPhotonic platforms occupy a central place in quantum technologies. They appear in quantum networks and communication, in near-term quantum advantage schemes, as well as in fault-tolerant quantum computing proposals. In this perspective article, we review
Alexia Salavrakos +3 more
doaj +1 more source
Quantum Computing and Quantum Algorithms
, 2020 The field of quantum computing and quantum algorithms is studied from the ground up. Qubits and their quantum-mechanical properties are discussed, followed by how they are transformed by quantum gates.
Serban, Daniel
core +1 more source
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source