Backtesting Quantum Computing Algorithms for Portfolio Optimization

In portfolio theory, the investment portfolio optimization problem is one of those problems whose complexity grows exponentially with the number of assets. By backtesting classical and quantum computing algorithms, we can get a sense of how these algorithms might perform in the real world. This work establishes a methodology for backtesting classical and quantum algorithms […]

Multiuser Entanglement Distribution in Quantum Networks Using Multipath Routing

Quantum networks facilitate numerous applications including secure communication and distributed quantum computation by performing entanglement distribution. For some multiuser quantum applications, access to a shared multipartite state is required. We consider the problem of designing protocols for distributing such states, at an increased rate. For this, we propose three protocols that leverage multipath routing to […]

Bayesian Optimization for QAOA

The quantum approximate optimization algorithm (QAOA) adopts a hybrid quantum-classical approach to find approximate solutions to variational optimization problems. In fact, it relies on a classical subroutine to optimize the parameters of a quantum circuit. In this article, we present a Bayesian optimization procedure to fulfill this optimization task, and we investigate its performance in […]