Search Results - "Zeng, William J"

Digital zero noise extrapolation for quantum error mitigation by Giurgica-Tiron, Tudor, Hindy, Yousef, LaRose, Ryan, Mari, Andrea, Zeng, William J.

“…Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum…”
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Testing Platform-Independent Quantum Error Mitigation on Noisy Quantum Computers by Russo, Vincent, Mari, Andrea, Shammah, Nathan, LaRose, Ryan, Zeng, William J.

“…We apply quantum error mitigation (QEM) techniques to a variety of benchmark problems and quantum computers to evaluate the performance of QEM in practice. To…”
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Quantum Resources Required to Block-Encode a Matrix of Classical Data by Clader, B. David, Dalzell, Alexander M., Stamatopoulos, Nikitas, Salton, Grant, Berta, Mario, Zeng, William J.

“…We provide a modular circuit-level implementation and resource estimates for several methods of block-encoding a dense <inline-formula><tex-math…”
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A Threshold for Quantum Advantage in Derivative Pricing by Chakrabarti, Shouvanik, Krishnakumar, Rajiv, Mazzola, Guglielmo, Stamatopoulos, Nikitas, Woerner, Stefan, Zeng, William J.

“…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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Derivative Pricing using Quantum Signal Processing by Stamatopoulos, Nikitas, Zeng, William J.

“…Pricing financial derivatives on quantum computers typically includes quantum arithmetic components which contribute heavily to the quantum resources required…”
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Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms by Stamatopoulos, Nikitas, Mazzola, Guglielmo, Woerner, Stefan, Zeng, William J.

“…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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Mitiq: A software package for error mitigation on noisy quantum computers by LaRose, Ryan, Mari, Andrea, Kaiser, Sarah, Karalekas, Peter J., Alves, Andre A., Czarnik, Piotr, El Mandouh, Mohamed, Gordon, Max H., Hindy, Yousef, Robertson, Aaron, Thakre, Purva, Wahl, Misty, Samuel, Danny, Mistri, Rahul, Tremblay, Maxime, Gardner, Nick, Stemen, Nathaniel T., Shammah, Nathan, Zeng, William J.

“…We introduce Mitiq, a Python package for error mitigation on noisy quantum computers. Error mitigation techniques can reduce the impact of noise on near-term…”
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End-To-End Resource Analysis for Quantum Interior-Point Methods and Portfolio Optimization by Dalzell, Alexander M., Clader, B. David, Salton, Grant, Berta, Mario, Lin, Cedric Yen-Yu, Bader, David A., Stamatopoulos, Nikitas, Schuetz, Martin J. A., Brandão, Fernando G. S. L., Katzgraber, Helmut G., Zeng, William J.

“…We study quantum interior-point methods (QIPMs) for second-order cone programming (SOCP), guided by the example use case of portfolio optimization (PO). We…”
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Open hardware solutions in quantum technology by Shammah, Nathan, Saha Roy, Anurag, Almudever, Carmen G., Bourdeauducq, Sébastien, Butko, Anastasiia, Cancelo, Gustavo, Clark, Susan M., Heinsoo, Johannes, Henriet, Loïc, Huang, Gang, Jurczak, Christophe, Kotilahti, Janne, Landra, Alessandro, LaRose, Ryan, Mari, Andrea, Nowrouzi, Kasra, Ockeloen-Korppi, Caspar, Prawiroatmodjo, Guen, Siddiqi, Irfan, Zeng, William J.

“…Quantum technologies, such as communication, computing, and sensing, offer vast opportunities for advanced research and development. While an open-source ethos…”
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Automated quantum error mitigation based on probabilistic error reduction by McDonough, Benjamin, Mari, Andrea, Shammah, Nathan, Stemen, Nathaniel T., Wahl, Misty, Zeng, William J., Orth, Peter P.

“…Current quantum computers suffer from a level of noise that prohibits extracting useful results directly from longer computations. The figure of merit in many…”
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Exact and approximate simulation of large quantum circuits on a single GPU by Strano, Daniel, Bollay, Benn, Blaauw, Aryan, Shammah, Nathan, Zeng, William J., Mari, Andrea

“…We benchmark the performances of Qrack, an open-source software library for the high-performance classical simulation of (gate-model) quantum computers. Qrack…”
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Zero Noise Extrapolation on Logical Qubits by Scaling the Error Correction Code Distance by Wahl, Misty A., Mari, Andrea, Shammah, Nathan, Zeng, William J., Ravi, Gokul Subramanian

“…In this work, we migrate the quantum error mitigation technique of Zero-Noise Extrapolation (ZNE) to fault-tolerant quantum computing. We employ ZNE on…”
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Derivative Pricing using Quantum Signal Processing by Stamatopoulos, Nikitas, Zeng, William J

“…Quantum 8, 1322 (2024) Pricing financial derivatives on quantum computers typically includes quantum arithmetic components which contribute heavily to the…”
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Towards violations of Local Friendliness with quantum computers by Zeng, William J, Labib, Farrokh, Russo, Vincent

“…Local Friendliness (LF) inequalities follow from seemingly reasonable assumptions about reality: (i) ``absoluteness of observed events'' (e.g., every observed…”
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Quantum amplitude estimation from classical signal processing by Labib, Farrokh, Clader, B. David, Stamatopoulos, Nikitas, Zeng, William J

“…We demonstrate that the problem of amplitude estimation, a core subroutine used in many quantum algorithms, can be mapped directly to a problem in signal…”
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Quantum Risk Analysis of Financial Derivatives by Stamatopoulos, Nikitas, Clader, B. David, Woerner, Stefan, Zeng, William J

“…We introduce two quantum algorithms to compute the Value at Risk (VaR) and Conditional Value at Risk (CVaR) of financial derivatives using quantum computers:…”
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The abstract structure of quantum algorithms by Zeng, William J

“…Quantum information brings together theories of physics and computer science. This synthesis challenges the basic intuitions of both fields. In this thesis, we…”
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Extending quantum probabilistic error cancellation by noise scaling by Mari, Andrea, Shammah, Nathan, Zeng, William J

“…Phys. Rev. A 104, 052607 (2021) We propose a general framework for quantum error mitigation that combines and generalizes two techniques: probabilistic error…”
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A Q# Implementation of a Quantum Lookup Table for Quantum Arithmetic Functions by Krishnakumar, Rajiv, Soeken, Mathias, Roetteler, Martin, Zeng, William J

“…2022 IEEE/ACM Third International Workshop on Quantum Computing Software (QCS), pp. 75-82 In this paper, we present Q# implementations for arbitrary…”
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Towards Quantum Advantage in Financial Market Risk using Quantum Gradient Algorithms by Stamatopoulos, Nikitas, Mazzola, Guglielmo, Woerner, Stefan, Zeng, William J

“…Quantum 6, 770 (2022) We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work has shown that quantum amplitude…”
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