Results 21 to 30 of about 96,436 (259)

Low-depth amplitude estimation on a trapped-ion quantum computer

Physical Review Research, 2022
Amplitude estimation (AE) is a fundamental quantum algorithmic primitive that enables quantum computers to achieve quadratic speedups for a large class of statistical estimation problems, including Monte Carlo methods.
Tudor Giurgica-Tiron, Sonika Johri, Iordanis Kerenidis, Jason Nguyen, Neal Pisenti, Anupam Prakash, Ksenia Sosnova, Ken Wright, William Zeng   +8 more
doaj   +4 more sources

Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling

IEEE Transactions on Quantum Engineering
In this article, we generalize the approximate quantum compiling algorithm into a new method for cnot-depth reduction, which is apt to process wide target quantum circuits.
Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara   +8 more
doaj   +3 more sources

Classical post-processing approach for quantum amplitude estimation

Physical Review A
We propose an approach for quantum amplitude estimation (QAE) designed to enhance computational efficiency while minimizing the reliance on quantum resources.
Yongdan Yang, Ruyu Yang
semanticscholar   +4 more sources

Quantum Monte Carlo Integration: The Full Advantage in Minimal Circuit Depth [PDF]

Quantum, 2022
This paper proposes a method of quantum Monte Carlo integration that retains the full quadratic quantum advantage, without requiring any arithmetic or quantum phase estimation to be performed on the quantum computer.
Steven Herbert
doaj   +1 more source

Option Pricing using Quantum Computers [PDF]

Quantum, 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 quadratic speedup compared to classical Monte Carlo methods.
Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun, Christa Zoufal, Raban Iten, Ning Shen, Stefan Woerner   +6 more
doaj   +1 more source

Bermudan option pricing by quantum amplitude estimation and Chebyshev interpolation [PDF]

EPJ Quantum Technology, 2021
Pricing of financial derivatives, in particular early exercisable options such as Bermudan options, is an important but heavy numerical task in financial institutions, and its speed-up will provide a large business impact.
Koichi Miyamoto
semanticscholar   +1 more source

Noisy quantum amplitude estimation without noise estimation [PDF]

Physical Review A, 2021
Many quantum algorithms contain an important subroutine, the quantum amplitude estimation. As the name implies, this is essentially the parameter estimation problem and thus can be handled via the established statistical estimation theory.
Tomoki Tanaka, Shumpei Uno, Tamiya Onodera, Naoki Yamamoto, Yohichi Suzuki   +4 more
semanticscholar   +1 more source

Linear regression by quantum amplitude estimation and its extension to convex optimization [PDF]

Physical Review A, 2021
Linear regression is a basic and widely-used methodology in data analysis. It is known that some quantum algorithms efficiently perform least squares linear regression of an exponentially large data set.
K. Kaneko, Koichi Miyamoto, Naoyuki Takeda, Kazuyoshi Yoshino   +3 more
semanticscholar   +1 more source

Noise tailoring for robust amplitude estimation

New Journal of Physics, 2023
A universal fault-tolerant quantum computer holds the promise to speed up computational problems that are otherwise intractable on classical computers; however, for the next decade or so, our access is restricted to noisy intermediate-scale quantum (NISQ)
Archismita Dalal, Amara Katabarwa
doaj   +1 more source

Entropic optimal transport with quantum amplitude estimation

Future Generation Computer Systems
Francisco Orts
semanticscholar   +2 more sources