[PDF][PDF] A quantum approximate optimization algorithm based on blockchain heuristic approach for scalable and secure smart logistics systems
Smart logistics and supply chain play can determine the success or failure of any business.
The cost, time, and carbon footprint are critical elements to be considered. Smart logistics …
The cost, time, and carbon footprint are critical elements to be considered. Smart logistics …
A practitioner's guide to quantum algorithms for optimisation problems
Quantum computing is gaining popularity across a wide range of scientific disciplines due to
its potential to solve long-standing computational problems that are considered intractable …
its potential to solve long-standing computational problems that are considered intractable …
Quantum computing for transport optimization
We explore the near-term intersection of quantum computing with the transport sector. To
support near-term integration, we introduce a framework for assessing the suitability of …
support near-term integration, we introduce a framework for assessing the suitability of …
Quantum entanglement inspired hard constraint handling for operations engineering optimization with an application to airport shift planning
Constraint handling, especially hard constraint handling, is a critical issue for discrete
constrained optimization problem solving in operations engineering. The performance of …
constrained optimization problem solving in operations engineering. The performance of …
Performance analysis of a filtering variational quantum algorithm
Even a minor boost in solving combinatorial optimization problems can greatly benefit
multiple industries. Quantum computers, with their unique information processing …
multiple industries. Quantum computers, with their unique information processing …
[PDF][PDF] Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems.
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems
Page 1 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization …
Page 1 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization …
A novel approach to subgraph selection with multiple weights on arcs
In this paper, an extension of the minimum cost flow problem is considered in which multiple
incommensurate weights are associated with each arc. In the minimum cost flow problem …
incommensurate weights are associated with each arc. In the minimum cost flow problem …
Mathematical Modeling Of Transport Logistics Problems
O Pichugina - 2020 IEEE 2nd International Conference on …, 2020 - ieeexplore.ieee.org
A real-world problem of transport logistics, which generalities the generic problem in this
area of research, is formulated. Its mathematical model as a problem of combinatorial …
area of research, is formulated. Its mathematical model as a problem of combinatorial …
A Revolutionary Approach of Quantum Computing With Its Future Applications
Quantum computing is a recent revolutionary technology to process and analyze the data.
Quantum computing is based on quantum mechanics, which are based on qubits instead of …
Quantum computing is based on quantum mechanics, which are based on qubits instead of …
On the connectivity interdiction problem, the geometry of data structures and Eulerian circuits
N Obscura Acosta - 2024 - aaltodoc.aalto.fi
Over the last century and since the introduction practical computers, the study of algorithms
for optimization problems has become one of the main areas in theoretical computer …
for optimization problems has become one of the main areas in theoretical computer …