Results 21 to 30 of about 1,548 (65)
A note on QUBO instances defined on Chimera graphs [PDF]
, 2013 McGeoch and Wang (2013) recently obtained optimal or near-optimal solutions to some quadratic unconstrained boolean optimization (QUBO) problem instances using a 439 qubit D-Wave Two quantum computing system in much less time than with the IBM ILOG CPLEX
Dash, Sanjeeb
core
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing
Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula +5 more
wiley +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. +2 more
core
Qubit‐Efficient Quantum Local Search for Combinatorial Optimization
Advanced Quantum Technologies, Volume 9, Issue 3, March 2026.We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii +4 more
wiley +1 more source
Detecting Multiple Communities Using Quantum Annealing on the D-Wave System
, 2019 A very important problem in combinatorial optimization is partitioning a network into communities of densely connected nodes; where the connectivity between nodes inside a particular community is large compared to the connectivity between nodes belonging
Mniszewski, Susan M. +2 more
core +1 more source
Addressing ecological challenges from a quantum computing perspective
Methods in Ecology and Evolution, Volume 17, Issue 3, Page 632-649, March 2026.Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 2, February 2026.Quantum computing techniques such as Quantum Annealing and Quadratic Unconstrained Binary Optimization are effectively solving NP‐hard problems in operations management and research, particularly in logistics, manufacturing, and finance. This study maps these applications to present a framework for future adoption across industries. ABSTRACT This study
Daniel Bouzon Nagem Assad +3 more
wiley +1 more source
Machine Learning‐Driven Cooling Window Design Beyond Hyperbolic Metamaterials
Nanophotonics, Volume 15, Issue 4, 24 February 2026.Machine learning‐driven inverse design enables ultrathin metal/dielectric cooling‐window coatings that outperform analytical hyperbolic metamaterials under identical material and thickness constraints. Optimized aperiodic multilayers simultaneously enhance visible transparency, near‐infrared rejection, and color tunability, demonstrating a practical ...
Seok‐Beom Seo +6 more
wiley +1 more source
Quantum Machine Learning Applications to Medical Images: A Survey
IET Quantum Communication, Volume 7, Issue 1, January/December 2026.In this review paper, we provide an outline of quantum neural networks (QNNs), quantum convolution neural networks (QCNNs) and various hybrid models. We also explore human brain‐inspired quantum neuromorphic computing by the quantum spiking neural networks (QSNN).
Mahua Nandy Pal +2 more
wiley +1 more source