• A Modular Framework for Generic Quantum Algorithms 

      Manzano, Alberto; Musso, Daniele; Leitao, Álvaro; Gómez, Andrés; Vázquez, Carlos; Ordóñez, Gustavo; Rodríguez Nogueiras, María (MDPI, 2022)
      [Abstract] We describe a general-purpose framework to design quantum algorithms. This framework relies on two pillars: a basic data structure called quantum matrix and a modular structure based on three quasi-independent ...
    • A Survey on Quantum Computational Finance for Derivatives Pricing and VaR 

      Gómez, Andrés; Leitao, Álvaro; Manzano, Alberto; Musso, Daniele; Nogueiras, María R.; Ordóñez, Gustavo; Vázquez, Carlos (Springer, 2022-10)
      [Abstract]: We review the state of the art and recent advances in quantum computing applied to derivative pricing and the computation of risk estimators like Value at Risk. After a brief description of the financial ...
    • Quantum Arithmetic for Directly Embedded Arrays 

      Manzano, Alberto; Musso, Daniele; Leitao, Álvaro; Gómez, Andrés; Vázquez, Carlos; Ordóñez, Gustavo; Rodríguez Nogueiras, María (MDPI, 2021)
      [Abstract] We describe a general-purpose framework to implement quantum algorithms relying upon an efficient handling of arrays. The cornerstone of the framework is the direct embedding of information into quantum amplitudes, ...
    • Real quantum amplitude estimation 

      Manzano, Alberto; Musso, Daniele; Leitao, Álvaro (Springer, 2023)
      [Abstract]: We introduce the Real Quantum Amplitude Estimation (RQAE) algorithm, an extension of Quantum Amplitude Estimation (QAE) which is sensitive to the sign of the amplitude. RQAE is an iterative algorithm which ...