108 citations · 223 across the 11 of their papers we have counts for
12 papers
Coherent consensus for the estimation and classification of phases
Roberto Ruiz, Alessandro Luongo, Sergi Ramos-Calderer +1
Inspired by quantum metrology, we propose a coherent consensus primitive to enhance the collaborative performance of independent quantum classifiers at the decision boundary. The b…
Design and Benchmarking of a Quantum Photonic Chip
Gabriele De Angelis, Nicolò Leone, Alessandro Luongo +7
We present the design and benchmarking of RP000, a quantum photonic processor capable of encoding a quantum system in the degrees of freedom of single photons, based on standard CM…
On the practicality of quantum sieving algorithms for the shortest vector problem
Joao F. Doriguello, George Giapitzakis, Alessandro Luongo +1
One of the main candidates of post-quantum cryptography is lattice-based cryptography. Its cryptographic security against quantum attackers is based on the worst-case hardness of l…
Do you know what q-means?
Arjan Cornelissen, Joao F. Doriguello, Alessandro Luongo +1
Clustering is one of the most important tools for analysis of large datasets, and perhaps the most popular clustering algorithm is Lloyd's algorithm for -means. This algorithm t…
Constant-depth circuits for Boolean functions and quantum memory devices using multi-qubit gates
Jonathan Allcock, Jinge Bao, Joao F. Doriguello +2
We explore the power of the unbounded Fan-Out gate and the Global Tunable gates generated by Ising-type Hamiltonians in constructing constant-depth quantum circuits, with particula…
Quantum computational finance: martingale asset pricing for incomplete markets
Patrick Rebentrost, Alessandro Luongo, Samuel Bosch +1
A derivative is a financial security whose value is a function of underlying traded assets and market outcomes. Pricing a financial derivative involves setting up a market model, f…
Quantum algorithm for stochastic optimal stopping problems with applications in finance
João F. Doriguello, Alessandro Luongo, Jinge Bao +2
The famous least squares Monte Carlo (LSM) algorithm combines linear least square regression with Monte Carlo simulation to approximately solve problems in stochastic optimal stopp…
Quantum algorithms for SVD-based data representation and analysis
Armando Bellante, Alessandro Luongo, Stefano Zanero
This paper narrows the gap between previous literature on quantum linear algebra and practical data analysis on a quantum computer, formalizing quantum procedures that speed-up the…
Quantum algorithms for spectral sums
Alessandro Luongo, Changpeng Shao
We propose new quantum algorithms for estimating spectral sums of positive semi-definite (PSD) matrices. The spectral sum of an PSD matrix , for a function , is defined as $…
Quantum Expectation-Maximization for Gaussian Mixture Models
Iordanis Kerenidis, Alessandro Luongo, Anupam Prakash
The Expectation-Maximization (EM) algorithm is a fundamental tool in unsupervised machine learning. It is often used as an efficient way to solve Maximum Likelihood (ML) estimation…
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo +1
Quantum machine learning is one of the most promising applications of a full-scale quantum computer. Over the past few years, many quantum machine learning algorithms have been pro…
Quantum classification of the MNIST dataset with Slow Feature Analysis
Iordanis Kerenidis, Alessandro Luongo
Quantum machine learning carries the promise to revolutionize information and communication technologies. While a number of quantum algorithms with potential exponential speedups h…