4 citations · 7 across the 14 of their papers we have counts for
14 papers
Knapsack and Shortest Path Problems Generalizations From A Quantum-Inspired Tensor Network Perspective
Sergio Muñiz Subiñas, Jorge Martínez Martín, Alejandro Mata Ali +2
In this paper, we present two tensor network quantum-inspired algorithms to solve the knapsack and the shortest path problems, and enables to solve some of its variations. These me…
Quantum Computing in Industrial Environments: Where Do We Stand and Where Are We Headed?
Eneko Osaba, Iñigo Perez Delgado, Alejandro Mata Ali +3
This article explores the current state and future prospects of quantum computing in industrial environments. Firstly, it describes three main paradigms in this field of knowledge:…
Fast Expectation Value Calculation Speedup of Quantum Approximate Optimization Algorithm: HoLCUs QAOA
Alejandro Mata Ali
In this paper, we present a new method for calculating expectation values of operators that can be expressed as a linear combination of unitary (LCU) operators. This method allows…
Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN
Alejandro Mata Ali
In this paper we show that every combinatorial problem has an exact explicit equation that returns its solution. We present a method to obtain an equation that solves exactly any c…
Anomaly Detection from a Tensor Train Perspective
Alejandro Mata Ali, Aitor Moreno Fdez. de Leceta, Jorge López Rubio
We present a series of algorithms in tensor networks for anomaly detection in datasets, by using data compression in a Tensor Train representation. These algorithms consist of pres…
Quantum-inspired Techniques in Tensor Networks for Industrial Contexts
Alejandro Mata Ali, Iñigo Perez Delgado, Aitor Moreno Fdez. de Leceta
In this paper we present a study of the applicability and feasibility of quantum-inspired algorithms and techniques in tensor networks for industrial environments and contexts, wit…
Técnicas Quantum-Inspired en Tensor Networks para Contextos Industriales
Alejandro Mata Ali, Iñigo Perez Delgado, Aitor Moreno Fdez. de Leceta
In this paper we present a study of the applicability and feasibility of quantum-inspired algorithms and techniques in tensor networks for industrial environments and contexts, wit…
Tensor-Network Formulation of the Traveling Salesman Problem and Variants
Alejandro Mata Ali, Iñigo Perez Delgado, Aitor Moreno Fdez. de Leceta
This work presents a tensor-network formulation of the Traveling Salesman Problem (TSP) and several of its variants. The approach represents candidate tours with tensor-network lay…
Task Scheduling Optimization with Direct Constraints from a Tensor Network Perspective
Alejandro Mata Ali, Iñigo Perez Delgado, Beatriz García Markaida +1
This work presents a novel method for task optimization in industrial plants using quantum-inspired tensor network technology. This method obtains the best possible combination of…
QUBO Resolution of the Job Reassignment Problem
Iñigo Perez Delgado, Beatriz García Markaida, Alejandro Mata Ali +1
We present a subproblemation scheme for heuristical solving of the JSP (Job Reassignment Problem). The cost function of the JSP is described via a QUBO hamiltonian to allow impleme…
Polynomial-time Solver of Tridiagonal QUBO, QUDO and Tensor QUDO problems with Tensor Networks
Alejandro Mata Ali, Iñigo Perez Delgado, Marina Ristol Roura +1
We present a quantum-inspired tensor network algorithm for solving tridiagonal Quadratic Unconstrained Binary Optimization (QUBO) problems and quadratic unconstrained discrete opti…
Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms
Alejandro Mata Ali, Iñigo Perez Delgado, Marina Ristol Roura +1
We present two algorithms to initialize layers of tensorized neural networks and general tensor network algorithms using partial computations of their Frobenius norms and positive…
Solving Systems of Linear Equations: HHL from a Tensor Networks Perspective
Alejandro Mata Ali, Iñigo Perez Delgado, Marina Ristol Roura +2
This work presents a new approach for simulating the HHL linear systems of equations solver algorithm with tensor networks. First, a novel HHL in the qudits formalism, the generali…
Qubit Number Optimization for Restriction Terms of QUBO Hamiltonians
Iñigo Perez Delgado, Beatriz García Markaida, Alejandro Mata Ali +1
In usual restriction terms of the Quadratic Unconstrained Binary Optimization (QUBO) hamiltonians, a integer number of logical qubits R, called the Integer Restriction Coefficient…