1k citations · 4.8k across the 38 of their papers we have counts for
10 papers · 2 filters
Iterative Quantum Amplitude Estimation
Dmitry Grinko, Julien Gacon, Christa Zoufal +1
We introduce a new variant of Quantum Amplitude Estimation (QAE), called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only based on Grover's A…
Grover Adaptive Search for Constrained Polynomial Binary Optimization
Austin Gilliam, Stefan Woerner, Constantin Gonciulea
In this paper we discuss Grover Adaptive Search (GAS) for Constrained Polynomial Binary Optimization (CPBO) problems, and in particular, Quadratic Unconstrained Binary Optimization…
Quantum Algorithms for Mixed Binary Optimization applied to Transaction Settlement
Lee Braine, Daniel J. Egger, Jennifer Glick +1
We extend variational quantum optimization algorithms for Quadratic Unconstrained Binary Optimization problems to the class of Mixed Binary Optimization problems. This allows us to…
Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
Pauline J Ollitrault, Abhinav Kandala, Chun-Fu Chen +7
The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources…
Exact and practical pattern matching for quantum circuit optimization
Raban Iten, Romain Moyard, Tony Metger +2
Quantum computations are typically compiled into a circuit of basic quantum gates. Just like for classical circuits, a quantum compiler should optimize the quantum circuit, e.g. by…
Resource-Efficient Quantum Algorithm for Protein Folding
Anton Robert, Panagiotis Kl. Barkoutsos, Stefan Woerner +1
Predicting the three-dimensional (3D) structure of a protein from its primary sequence of amino acids is known as the protein folding (PF) problem. Due to the central role of prote…
Credit Risk Analysis using Quantum Computers
Daniel J. Egger, Ricardo Gacía Gutiérrez, Jordi Cahué Mestre +1
We present and analyze a quantum algorithm to estimate credit risk more efficiently than Monte Carlo simulations can do on classical computers. More precisely, we estimate the econ…
Improving Variational Quantum Optimization using CVaR
Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert +2
Hybrid quantum/classical variational algorithms can be implemented on noisy intermediate-scale quantum computers and can be used to find solutions for combinatorial optimization pr…
Option Pricing using Quantum Computers
Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun +4
We present a methodology to price options and portfolios of options on a gate-based quantum computer using amplitude estimation, an algorithm which provides a quadratic speedup com…
Quantum Generative Adversarial Networks for Learning and Loading Random Distributions
Christa Zoufal, Aurélien Lucchi, Stefan Woerner
Quantum algorithms have the potential to outperform their classical counterparts in a variety of tasks. The realization of the advantage often requires the ability to load classica…