Search Results - "Egger, Daniel J."

Quantum risk analysis by Woerner, Stefan, Egger, Daniel J.

“…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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Quantum Computing for Finance: State-of-the-Art and Future Prospects by Egger, Daniel J., Gambella, Claudio, Marecek, Jakub, McFaddin, Scott, Mevissen, Martin, Raymond, Rudy, Simonetto, Andrea, Woerner, Stefan, Yndurain, Elena

“…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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Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement by Braine, Lee, Egger, Daniel J., Glick, Jennifer, Woerner, Stefan

“…In this article, we extend variational quantum optimization algorithms for quadratic unconstrained binary optimization problems to the class of mixed binary…”
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Warm-starting quantum optimization by Egger, Daniel J., Mareček, Jakub, Woerner, Stefan

“…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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Credit Risk Analysis Using Quantum Computers by Egger, Daniel J., Garcia Gutierrez, Ricardo, Mestre, Jordi Cahue, Woerner, Stefan

“…We present and analyze a quantum algorithm to estimate credit risk more efficiently than Monte Carlo simulations can do on classical computers. More precisely,…”
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Pulse-efficient circuit transpilation for quantum applications on cross-resonance-based hardware by Earnest, Nathan, Tornow, Caroline, Egger, Daniel J.

“…We show a pulse-efficient circuit transpilation framework for noisy quantum hardware. This is achieved by scaling cross-resonance pulses and exposing each…”
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Option Pricing using Quantum Computers by Stamatopoulos, Nikitas, Egger, Daniel J., Sun, Yue, Zoufal, Christa, Iten, Raban, Shen, Ning, Woerner, Stefan

“…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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Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation by Sack, Stefan H., Egger, Daniel J.

“…Quantum computers are increasing in size and quality but are still very noisy. Error mitigation extends the size of the quantum circuits that noisy devices can…”
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Scaling of the quantum approximate optimization algorithm on superconducting qubit based hardware by Weidenfeller, Johannes, Valor, Lucia C., Gacon, Julien, Tornow, Caroline, Bello, Luciano, Woerner, Stefan, Egger, Daniel J.

“…Quantum computers may provide good solutions to combinatorial optimization problems by leveraging the Quantum Approximate Optimization Algorithm (QAOA). The…”
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Simulating the dynamics of braiding of Majorana zero modes using an IBM quantum computer by Stenger, John P. T., Bronn, Nicholas T., Egger, Daniel J., Pekker, David

“…We preform dynamic state evolution on an IBM quantum computer using a simulation of braiding Majorana zero modes as a benchmark for success. We find the native…”
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Benchmarking Digital Quantum Simulations Above Hundreds of Qubits Using Quantum Critical Dynamics by Miessen, Alexander, Egger, Daniel J., Tavernelli, Ivano, Mazzola, Guglielmo

“…The real-time simulation of large many-body quantum systems is a formidable task, that may only be achievable with a genuine quantum computational platform…”
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Universal Qudit Gate Synthesis for Transmons by Fischer, Laurin E., Chiesa, Alessandro, Tacchino, Francesco, Egger, Daniel J., Carretta, Stefano, Tavernelli, Ivano

“…Gate-based quantum computers typically encode and process information in two-dimensional units called qubits. Using d-dimensional qudits instead may offer…”
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Provable bounds for noise-free expectation values computed from noisy samples by Barron, Samantha V., Egger, Daniel J., Pelofske, Elijah, Bärtschi, Andreas, Eidenbenz, Stephan, Lehmkuehler, Matthis, Woerner, Stefan

“…Quantum computing has emerged as a powerful computational paradigm capable of solving problems beyond the reach of classical computers. However, today's…”
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Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space by Fischer, Laurin E., Miller, Daniel, Tacchino, Francesco, Barkoutsos, Panagiotis Kl, Egger, Daniel J., Tavernelli, Ivano

“…Informationally complete (IC) positive operator-valued measures (POVMs) are generalized quantum measurements that offer advantages over the standard…”
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Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation by Carrera Vazquez, Almudena, Egger, Daniel J., Ochsner, David, Woerner, Stefan

“…Simulating the time-evolution of a Hamiltonian is one of the most promising applications of quantum computers. Multi-Product Formulas (MPFs) are well suited to…”
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Pulse variational quantum eigensolver on cross-resonance-based hardware by Egger, Daniel J., Capecci, Chiara, Pokharel, Bibek, Barkoutsos, Panagiotis Kl, Fischer, Laurin E., Guidoni, Leonardo, Tavernelli, Ivano

“…State-of-the-art noisy digital quantum computers can only execute short-depth quantum circuits. Variational algorithms are a promising route to unlock the…”
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Qiskit Dynamics: A Python package for simulating the time dynamics of quantum systems by Puzzuoli, Daniel, Wood, Christopher J., Egger, Daniel J., Rosand, Benjamin, Ueda, Kento

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Qiskit Experiments: A Python package to characterize and calibrate quantum computers by Kanazawa, Naoki, Egger, Daniel J., Ben-Haim, Yael, Zhang, Helena, Shanks, William E., Aleksandrowicz, Gadi, Wood, Christopher J.

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Challenges and opportunities in quantum optimization by Abbas, Amira, Ambainis, Andris, Augustino, Brandon, Bärtschi, Andreas, Buhrman, Harry, Coffrin, Carleton, Cortiana, Giorgio, Dunjko, Vedran, Egger, Daniel J., Elmegreen, Bruce G., Franco, Nicola, Fratini, Filippo, Fuller, Bryce, Gacon, Julien, Gonciulea, Constantin, Gribling, Sander, Gupta, Swati, Hadfield, Stuart, Heese, Raoul, Kircher, Gerhard, Kleinert, Thomas, Koch, Thorsten, Korpas, Georgios, Lenk, Steve, Marecek, Jakub, Markov, Vanio, Mazzola, Guglielmo, Mensa, Stefano, Mohseni, Naeimeh, Nannicini, Giacomo, O’Meara, Corey, Tapia, Elena Peña, Pokutta, Sebastian, Proissl, Manuel, Rebentrost, Patrick, Sahin, Emre, Symons, Benjamin C. B., Tornow, Sabine, Valls, Víctor, Woerner, Stefan, Wolf-Bauwens, Mira L., Yard, Jon, Yarkoni, Sheir, Zechiel, Dirk, Zhuk, Sergiy, Zoufal, Christa

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Quantum Computing for High-Energy Physics: State of the Art and Challenges by Di Meglio, Alberto, Jansen, Karl, Tavernelli, Ivano, Alexandrou, Constantia, Arunachalam, Srinivasan, Bauer, Christian W., Borras, Kerstin, Carrazza, Stefano, Crippa, Arianna, Croft, Vincent, de Putter, Roland, Delgado, Andrea, Dunjko, Vedran, Egger, Daniel J., Fernández-Combarro, Elias, Fuchs, Elina, Funcke, Lena, González-Cuadra, Daniel, Grossi, Michele, Halimeh, Jad C., Holmes, Zoë, Kühn, Stefan, Lacroix, Denis, Lewis, Randy, Lucchesi, Donatella, Martinez, Miriam Lucio, Meloni, Federico, Mezzacapo, Antonio, Montangero, Simone, Nagano, Lento, Pascuzzi, Vincent R., Radescu, Voica, Ortega, Enrique Rico, Roggero, Alessandro, Schuhmacher, Julian, Seixas, Joao, Silvi, Pietro, Spentzouris, Panagiotis, Tacchino, Francesco, Temme, Kristan, Terashi, Koji, Tura, Jordi, Tüysüz, Cenk, Vallecorsa, Sofia, Wiese, Uwe-Jens, Yoo, Shinjae, Zhang, Jinglei

“…Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a…”
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