Fetching the paper…
Reading the bibliography…
Quantum amplitude estimation is a key sub-routine of a number of quantum algorithms with various applications.
Probability inequalities for sums of bounded random variables
Hoeffding, W. (1963) · 1963
Earlier work this paper cites.
Algorithms for quantum computation: discrete logarithms and factoring
Shor, P. W. (1994) · 1994
Earlier work this paper cites.
Quantum measurements and the abelian stabilizer problem
Kitaev, A. Y. (1995) · 1995
Earlier work this paper cites.
A quantum algorithm for finding the minimum
Durr, C. and Hoyer, P. (1996) · 1996
Earlier work this paper cites.
A fast quantum mechanical algorithm for database search
Grover, L. K. (1996) · 1996
Earlier work this paper cites.
A tale of two sieves
Pomerance, C. (1996) · 1996
Earlier work this paper cites.
Quantum amplitude amplification and estimation
Brassard, G., Hoyer, P., Mosca, M., and Tapp, A. (2002) · 2002
Earlier work this paper cites.
Nakaji, K. (2020) · 2003
Earlier work this paper cites.
Quantum search algorithms
Ambainis, A. (2004) · 2004
Earlier work this paper cites.
An invitation to quantum tomography
Artiles, L. M., Gill, R. D., and Guţă, M. I. (2005) · 2005
Earlier work this paper cites.
Optimal quantum measurements of expectation values of observables
Knill, E., Ortiz, G., and Somma, R. D. (2007) · 2007
Earlier work this paper cites.
Conciliation of bayes and pointwise quantum state estimation
Gill, R. D. (2008) · 2008
Earlier work this paper cites.
Polynomial-time quantum algorithm for the simulation of chemical dynamics
Kassal, I., Jordan, S. P., Love, P. J., Mohseni, M., and Aspuru-Guzik, A. (2008) · 2008
Earlier work this paper cites.
Quantum Computation and Quantum Information: 10th Anniversary Edition
Nielsen, M. A. and Chuang, I. (2011) · 2011
Cited alongside, same era.
On asymptotic quantum statistical inference
Gill, R. D. and Guţă, M. I. (2013) · 2013
Cited alongside, same era.
Monte carlo methods for value-at-risk and conditional value-at-risk: a review
Hong, L. J., Hu, Z., and Liu, G. (2014) · 2014
Cited alongside, same era.
The unconstrained binary quadratic programming problem: a survey
Kochenberger, G., Hao, J.-K., Glover, F., Lewis, M., Lü, Z., Wang, H., and Wang, Y. (2014) · 2014
Cited alongside, same era.
Quantum algorithm for polynomial root finding problem
Sun, G., Su, S., and Xu, M. (2014) · 2014
Cited alongside, same era.
Quantum speedup of monte carlo methods
Montanaro, A. (2015) · 2015
Cited alongside, same era.
Quantum risk analysis
Woerner, S. and Egger, D. J. (2019) · 2019
Later among the works it cites.
Quantum generative adversarial networks for learning and loading random distributions
Zoufal, C., Lucchi, A., and Woerner, S. (2019) · 2019
Later among the works it cites.
Quantum approximate counting, simplified
Aaronson, S. and Rall, P. (2020) · 2020
Later among the works it cites.
Credit risk analysis using quantum computers
Egger, D. J., Gutiérrez, R. G., Mestre, J. C., and Woerner, S. (2020) · 2020
Later among the works it cites.
Quantum annealing via path-integral monte carlo with data augmentation
Hu, J. and Wang, Y. (2020) · 2020
Later among the works it cites.
Machine learning algorithms in quantum computing: A survey
Ramezani, S. B., Sommers, A., Manchukonda, H. K., Rahimi, S., and Amirlatifi, A. (2020) · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
Wiebe, N., Kapoor, A., and Svore, K. M. (2015) · 2015
Cited alongside, same era.
Quantum annealing with markov chain monte carlo simulations and d-wave quantum computers
Wang, Y., Wu, S., and Zou, J. (2016) · 2016
Cited alongside, same era.
Quantum deep learning
Wiebe, N., Kapoor, A., and Svore, K. M. (2016) · 2016
Cited alongside, same era.
Quantum computational finance: Monte carlo pricing of financial derivatives
Rebentrost, P., Gupt, B., and Bromley, T. R. (2018) · 2018
Cited alongside, same era.
Quantum chemistry in the age of quantum computing
Cao, Y., Romero, J., Olson, J. P., Degroote, M., Johnson, P. D., Kieferová, M., Kivlichan, I. D., Menke, T., Peropadre, B., Sawaya, N. P., et al. (2019) · 2019
Cited alongside, same era.
Simpler quantum counting
Wie, C.-R. (2019) · 2019
Cited alongside, same era.
Amplitude estimation without phase estimation
Suzuki, Y., Uno, S., Raymond, R., Tanaka, T., Onodera, T., and Yamamoto, N. (2020) · 2020
Later among the works it cites.
Iterative quantum amplitude estimation
Grinko, D., Gacon, J., Zoufal, C., and Woerner, S. (2021) · 2021
Later among the works it cites.
Best subset selection: Statistical computing meets quantum computing
Zhong, W., Ke, Y., Wang, Y., Chen, Y., Chen, J., and Ma, P. (2021) · 2021
Later among the works it cites.
A survey of quantum computing for finance
Herman, D., Googin, C., Liu, X., Galda, A., Safro, I., Sun, Y., Pistoia, M., and Alexeev, Y. (2022) · 2022
Closest in time.
When quantum computation meets data science: Making data science quantum
Wang, Y. (2022) · 2022
Closest in time.
Quantum computing in a statistical context
Wang, Y. and Liu, H. (2022) · 2022
Closest in time.