Quantum computers are expected to surpass the computational capabilities of classical
computers and have a transformative impact on numerous industry sectors. We present a …

The past decade has witnessed significant advancements in quantum hardware,
encompassing improvements in speed, qubit quantity, and quantum volume—a metric …

We present Qibo, a new open-source software for fast evaluation of quantum circuits and
adiabatic evolution which takes full advantage of hardware accelerators. The growing …

Efficient methods for loading given classical data into quantum circuits are essential for
various quantum algorithms. In this paper, we propose an algorithm called Approximate …

Quantum computers are expected to have substantial impact on the finance industry, as they
will be able to solve certain problems considerably faster than the best known classical …

Quantum machine learning has seen considerable theoretical and practical developments
in recent years and has become a promising area for finding real world applications of …

We present a quantum algorithm for portfolio optimization. We discuss the market data input
of asset prices, the processing of such data via quantum operations, and the output of …

Machine Learning provides powerful tools for a variety of applications, including disease
diagnosis through medical image classification. In recent years, quantum machine learning …

We present a first attempt to design a quantum circuit for the determination of the parton
content of the proton through the estimation of parton distribution functions (PDFs), in the …

Effective quantum computation relies upon making good use of the exponential information
capacity of a quantum machine. A large barrier to designing quantum algorithms for …