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Showing 1 to 6 of 6 for “"QAOA"”.

  1. QAOA applied to the portfolio optimization problem

    … prominence and, among them, there is one called QAOA (quantum approximate optimization algorithm). As the name suggests, this is a quantum algorithm that approximates the solution of optimization problems. The objective of this work was to apply this algorithm to solve an optimization problem in …

    brazil-ufrn Repository record for QAOA applied to the portfolio optimization problem (opens in a new tab)

  2. Combinatorial optimization using quantum computing

    … the Quantum Approximate Optimization Algorithm (QAOA) on both simulators and quantum hardware, and compare its performance with that of classical exact optimization via the Gurobi solver. TSP instances are encoded as Quadratic Unconstrained Binary Optimization (QUBO) problems derived from the …

    utc Repository record for Combinatorial optimization using quantum computing (opens in a new tab)

  3. Lower bounds on the classical simulation of quantum circuits for quantum supremacy

    … and Quantum Approximate Optimization Algorithm (QAOA) circuits are examples of circuits with this guarantee under the assumption that the polynomial hierarchy (PH) does not collapse. However, these arguments do not communicate how large these quantum circuits must be built before simulating them …

    mit Repository record for Lower bounds on the classical simulation of quantum circuits for quantum supremacy (opens in a new tab)

  4. Metaheurísticas aplicadas al problema de compilación de circuitos cuánticos

    … Quantum Approximate Optimization Algorithm (QAOA) para resolver problemas Max-Cut. En la literatura, este problema se ha modelado tanto en forma de planning como de scheduling con minimización del makespan. Algunos de los métodos presentes en la literatura proponen la utilización de …

    oviedo Repository record for Metaheurísticas aplicadas al problema de compilación de circuitos cuánticos (opens in a new tab)

  5. Beyond qubits: Quantum optimization and lattice gauge theories in a qudit framework

    … the Quantum Approximate Optimization Algorithm (QAOA) without inflating the solution space, and how counterdiabatic driving, enhanced by symmetry reduction, improves variational performance for qudit-based algorithms. We additionally study the noise robustness of variational algorithms on real …

    trento Repository record for Beyond qubits: Quantum optimization and lattice gauge theories in a qudit framework (opens in a new tab)

  6. Quantum Resources in Quantum Technologies: From Quantum Optimization to Many-Body Physics

    Significant progress has been made in quantum technologies over the past decade. Despite this success, a central question remains: to what extent quantum resources are being exploited. This question is crucial not only for benchmarking quantum systems but also to unlock their full potential. This …

    trento Repository record for Quantum Resources in Quantum Technologies: From Quantum Optimization to Many-Body Physics (opens in a new tab)