Search Results - "Woerner, Stefan"
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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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Quantum risk analysis
Published in npj quantum information (08-02-2019)“…We present a quantum algorithm that analyzes risk more efficiently than Monte Carlo simulations traditionally used on classical computers. We employ quantum…”
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Warm-starting quantum optimization
Published in Quantum (Vienna, Austria) (17-06-2021)“…There is an increasing interest in quantum algorithms for problems of integer programming and combinatorial optimization. Classical solvers for such problems…”
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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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5
Grover Adaptive Search for Constrained Polynomial Binary Optimization
Published in Quantum (Vienna, Austria) (08-04-2021)“…In this paper we discuss Grover Adaptive Search (GAS) for Constrained Polynomial Binary Optimization (CPBO) problems, and in particular, Quadratic…”
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6
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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Improving Variational Quantum Optimization using CVaR
Published in Quantum (Vienna, Austria) (20-04-2020)“…Hybrid quantum/classical variational algorithms can be implemented on noisy intermediate-scale quantum computers and can be used to find solutions for…”
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8
Resource-efficient quantum algorithm for protein folding
Published in npj quantum information (17-02-2021)“…Predicting the three-dimensional structure of a protein from its primary sequence of amino acids is known as the protein folding problem. Due to the central…”
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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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A Threshold for Quantum Advantage in Derivative Pricing
Published in Quantum (Vienna, Austria) (01-06-2021)“…We give an upper bound on the resources required for valuable quantum advantage in pricing derivatives. To do so, we give the first complete resource estimates…”
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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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Quantum Computing for Finance: State-of-the-Art and Future Prospects
Published in IEEE transactions on quantum engineering (2020)“…This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide…”
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Quasiprobability decompositions with reduced sampling overhead
Published in npj quantum information (03-02-2022)“…Quantum error-mitigation techniques can reduce noise on current quantum hardware without the need for fault-tolerant quantum error correction. For instance,…”
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14
Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor
Published in Physical review research (27-10-2020)“…The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the…”
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Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms
Published in Quantum (Vienna, Austria) (20-07-2022)“…We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude estimation can accelerate…”
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16
Quantum algorithm for alchemical optimization in material design
Published in Chemical science (Cambridge) (01-04-2021)“…The development of tailored materials for specific applications is an active field of research in chemistry, material science and drug discovery. The number of…”
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Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware
Published in Quantum (Vienna, Austria) (07-12-2022)“…Quantum computers may provide good solutions to combinatorial optimization problems by leveraging the Quantum Approximate Optimization Algorithm (QAOA). The…”
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The complexity of quantum support vector machines
Published in Quantum (Vienna, Austria) (2024)“…Quantum support vector machines employ quantum circuits to define the kernel function. It has been shown that this approach offers a provable exponential…”
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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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CellCycleTRACER accounts for cell cycle and volume in mass cytometry data
Published in Nature communications (12-02-2018)“…Recent studies have shown that cell cycle and cell volume are confounding factors when studying biological phenomena in single cells. Here we present a…”
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