Search Results - "Zoufal, Christa"
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Quantum Generative Adversarial Networks for learning and loading random distributions
Published in npj quantum information (22-11-2019)“…Quantum algorithms have the potential to outperform their classical counterparts in a variety of tasks. The realization of the advantage often requires the…”
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2
Iterative quantum amplitude estimation
Published in npj quantum information (19-03-2021)“…We introduce a variant of Quantum Amplitude Estimation (QAE) , called Iterative QAE (IQAE), which does not rely on Quantum Phase Estimation (QPE) but is only…”
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3
Variational quantum Boltzmann machines
Published in Quantum machine intelligence (01-06-2021)“…This work presents a novel realization approach to quantum Boltzmann machines (QBMs). The preparation of the required Gibbs states, as well as the evaluation…”
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4
Option Pricing using Quantum Computers
Published in Quantum (Vienna, Austria) (06-07-2020)“…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…”
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5
Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information
Published in Quantum (Vienna, Austria) (20-10-2021)“…The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum…”
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Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
Published in Quantum (Vienna, Austria) (25-09-2024)“…The training of a parameterized model largely depends on the landscape of the underlying loss function. In particular, vanishing gradients are a central…”
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7
A variational quantum algorithm for the Feynman-Kac formula
Published in Quantum (Vienna, Austria) (07-06-2022)“…We propose an algorithm based on variational quantum imaginary time evolution for solving the Feynman-Kac partial differential equation resulting from a…”
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Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection
Published in Quantum (Vienna, Austria) (2023)“…We introduce a variational quantum algorithm to solve unconstrained black box binary optimization problems, i.e., problems in which the objective function is…”
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QMRAcatch: Human‐Associated Fecal Pollution and Infection Risk Modeling for a River/Floodplain Environment
Published in Journal of environmental quality (01-07-2016)“…Protection of drinking water resources requires addressing all relevant fecal pollution sources in the considered catchment. A freely available simulation…”
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Modelling the interplay of future changes and wastewater management measures on the microbiological river water quality considering safe drinking water production
Published in The Science of the total environment (10-05-2021)“…Rivers are important for drinking water supply worldwide. However, they are often impacted by pathogen discharges via wastewater treatment plants (WWTP) and…”
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The power of quantum neural networks
Published in Nature Computational Science (01-06-2021)“…It is unknown whether near-term quantum computers are advantageous for machine learning tasks. In this work we address this question by trying to understand…”
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Quantum circuits for discrete graphical models
Published in Quantum machine intelligence (01-12-2024)“…Graphical models are useful tools for describing structured high-dimensional probability distributions. The development of efficient algorithms for generating…”
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Generative Quantum Machine Learning
Published 24-11-2021“…The goal of generative machine learning is to model the probability distribution underlying a given data set. This probability distribution helps to…”
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Challenges and opportunities in quantum optimization
Published in Nature reviews physics (28-10-2024)Get full text
Journal Article -
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On Quantum Circuits for Discrete Graphical Models
Published 01-06-2022“…Graphical models are useful tools for describing structured high-dimensional probability distributions. Development of efficient algorithms for generating…”
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Journal Article -
16
Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
Published 19-09-2024“…Quantum 8, 1484 (2024) The training of a parameterized model largely depends on the landscape of the underlying loss function. In particular, vanishing…”
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Error Bounds for Variational Quantum Time Evolution
Published 27-06-2023“…Physical Review Applied, 2023 Variational quantum time evolution allows us to simulate the time dynamics of quantum systems with near-term compatible quantum…”
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Quantum-Enhanced Simulation-Based Optimization
Published in 2020 IEEE International Conference on Quantum Computing and Engineering (QCE) (01-10-2020)“…In this paper, we introduce a quantum-enhanced algorithm for simulation-based optimization. Simulation-based optimization seeks to optimize an objective…”
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Conference Proceeding -
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Stochastic Approximation of Variational Quantum Imaginary Time Evolution
Published in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (17-09-2023)“…The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning…”
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Conference Proceeding -
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Quantum Kernel Alignment with Stochastic Gradient Descent
Published in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (17-09-2023)“…Quantum support vector machines have the potential to achieve a quantum speedup for solving certain machine learning problems. The key challenge for doing so…”
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Conference Proceeding