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@misc{adversary-simple,
title = {Lecture 13: Lower Bounds using the Adversary Method},
author = {Ryan O’Donnell},
year = 2015,
month = {October},
publisher = {Carnegie Mellon University},
}
@article{giurgica2022low,
title={Low-depth amplitude estimation on a trapped-ion quantum computer},
author={Giurgica-Tiron, Tudor and Johri, Sonika and Kerenidis, Iordanis and Nguyen, Jason and Pisenti, Neal and Prakash, Anupam and Sosnova, Ksenia and Wright, Ken and Zeng, William},
journal={Physical Review Research},
volume={4},
number={3},
pages={033034},
year={2022},
publisher={APS}
}
@article{callison2022improved,
title={Improved maximum-likelihood quantum amplitude estimation},
author={Callison, Adam and Browne, Dan},
journal={arXiv preprint arXiv:2209.03321},
year={2022}
}
@article{brown2020quantum,
title={Quantum amplitude estimation in the presence of noise},
author={Brown, Eric G and Goktas, Oktay and Tham, WK},
journal={arXiv preprint arXiv:2006.14145},
year={2020}
}
@article{zhang2022quantum,
title = {Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications},
author = {Zhang, Xiao-Ming and Li, Tongyang and Yuan, Xiao},
year = 2022,
journal = {arXiv preprint arXiv:2201.11495},
}
@inproceedings{bernstein2013quantum,
title={Quantum algorithms for the subset-sum problem},
author={Bernstein, Daniel J and Jeffery, Stacey and Lange, Tanja and Meurer, Alexander},
booktitle={International Workshop on Post-Quantum Cryptography},
pages={16--33},
year={2013},
organization={Springer}
}
@article{bellante2022quantum,
title={Quantum matching pursuit: A quantum algorithm for sparse representations},
author={Bellante, Armando and Zanero, Stefano},
journal={Physical Review A},
volume={105},
number={2},
pages={022414},
year={2022},
publisher={APS}
}
@article{an2022quantum,
title={Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm},
author={An, Dong and Lin, Lin},
journal={ACM Transactions on Quantum Computing},
volume={3},
number={2},
pages={1--28},
year={2022},
publisher={ACM New York, NY}
}
@article{lin2020optimal,
title={Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems},
author={Lin, Lin and Tong, Yu},
journal={Quantum},
volume={4},
pages={361},
year={2020},
publisher={Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften}
}
@article{costa2021optimal,
title={Optimal scaling quantum linear systems solver via discrete adiabatic theorem},
author={Costa, Pedro and An, Dong and Sanders, Yuval R and Su, Yuan and Babbush, Ryan and Berry, Dominic W},
journal={arXiv preprint arXiv:2111.08152},
year={2021}
}
@article{buhrman2022memory,
title={Memory Compression with Quantum Random-Access Gates},
author={Buhrman, Harry and Loff, Bruno and Patro, Subhasree and Speelman, Florian},
journal={arXiv preprint arXiv:2203.05599},
year={2022}
}
@article{jeffery2014frameworks,
title={Frameworks for quantum algorithms},
author={Jeffery, Stacey},
year={2014},
publisher={University of Waterloo}
}
@book{serfozo2009basics,
title = {Basics of applied stochastic processes},
author = {Serfozo, Richard},
year = 2009,
publisher = {Springer Science \& Business Media},
}
@article{chakrabarti2021threshold,
title = {A threshold for quantum advantage in derivative pricing},
author = {Chakrabarti, Shouvanik and Krishnakumar, Rajiv and Mazzola, Guglielmo and Stamatopoulos, Nikitas and Woerner, Stefan and Zeng, William J},
year = 2021,
journal = {Quantum},
publisher = {Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften},
volume = 5,
pages = 463,
}
@article{paler2020parallelizing,
title = {Parallelizing the queries in a bucket-brigade quantum random access memory},
author = {Paler, Alexandru and Oumarou, Oumarou and Basmadjian, Robert},
year = 2020,
journal = {Physical Review A},
publisher = {APS},
volume = 102,
number = 3,
pages = {032608},
}
@article{low2018trading,
title = {Trading T-gates for dirty qubits in state preparation and unitary synthesis},
author = {Low, Guang Hao and Kliuchnikov, Vadym and Schaeffer, Luke},
year = 2018,
journal = {arXiv preprint arXiv:1812.00954},
}
@article{berry2019qubitization,
title = {Qubitization of arbitrary basis quantum chemistry leveraging sparsity and low rank factorization},
author = {Berry, Dominic W and Gidney, Craig and Motta, Mario and McClean, Jarrod R and Babbush, Ryan},
year = 2019,
journal = {Quantum},
publisher = {Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften},
volume = 3,
pages = 208,
}
@article{hann2021resilience,
title = {Resilience of quantum random access memory to generic noise},
author = {Hann, Connor T and Lee, Gideon and Girvin, SM and Jiang, Liang},
year = 2021,
journal = {PRX Quantum},
publisher = {APS},
volume = 2,
number = 2,
pages = {020311},
}
@article{ambainis2002adversary,
title = {Quantum Lower Bounds by Quantum Arguments},
author = {Andris Ambainis},
year = 2002,
journal = {Journal of Computer and System Sciences},
volume = 64,
number = 4,
pages = {750--767},
issn = {0022-0000},
}
@article{markov1890ineq,
title = {On a question by D. I. Mendeleev},
author = {Markov},
year = 1890,
journal = {Zap. Imp. Akad. Nauk. St. Petersburg},
}
@inproceedings{paturi1992degbound,
title = {On the Degree of Polynomials That Approximate Symmetric Boolean Functions (Preliminary Version)},
author = {Paturi, Ramamohan},
year = 1992,
booktitle = {Proceedings of the Twenty-Fourth Annual ACM Symposium on Theory of Computing},
location = {Victoria, British Columbia, Canada},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
series = {STOC '92},
pages = {468–474},
doi = {10.1145/129712.129758},
isbn = {0897915119},
url = {https://doi.org/10.1145/129712.129758},
abstract = {In this paper, we provide matching (up to a constant factor) upper and lower bounds on the degree of polynomials that represent symmetric boolean functions with an error 1/3. Let Γ(f)=min{|2k–n+1|:fk ≠ fk+ 1 and 0 ≤ k ≤ n – 1} where fi is the value of f on inputs with exactly i 1's. We prove that the minimum degree over all the approximating polynomials of f is Θ((n(n-Γ(f))).5). We apply the techniques and tools from approximation theory to derive this result.},
numpages = 7,
}
@article{boyer1998tight,
title = {Tight bounds on quantum searching},
author = {Boyer, Michel and Brassard, Gilles and H{\o}yer, Peter and Tapp, Alain},
year = 1998,
journal = {Fortschritte der Physik: Progress of Physics},
publisher = {Wiley Online Library},
volume = 46,
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pages = {493--505},
}
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title = {Geometria e algebra lineare},
author = {Manara, M.P. and Perotti, A. and Scapellato, R.},
year = 2007,
publisher = {Esculapio},
}
@article{cade2017quantum,
title={The Quantum Complexity of Computing Schatten $ p $-norms},
author={Cade, Chris and Montanaro, Ashley},
journal={arXiv preprint arXiv:1706.09279},
year={2017}
}
@article{gyurik2020towards,
title={Towards quantum advantage for topological data analysis},
author={Gyurik, Casper and Cade, Chris and Dunjko, Vedran},
journal={arXiv preprint arXiv:2005.02607},
year={2020}
}
@book{linearalgebragilbert,
title = {Introduction to linear algebra},
author = {Strang, Gilbert},
year = 2016,
publisher = {Wellesley - Cambridge Press},
isbn = {ISBN 978-0-9802327-7-6},
}
@article{cao2017quantum,
title = {Quantum Neuron: an elementary building block for machine learning on quantum computers},
author = {Cao, Yudong and Guerreschi, Gian Giacomo and Aspuru-Guzik, Al{\'a}n},
year = 2017,
journal = {arXiv preprint arXiv:1711.11240},
}
@article{verbeek2003efficient,
title = {Efficient greedy learning of Gaussian mixture models},
author = {Verbeek, Jakob J and Vlassis, Nikos and Kr{\"o}se, Ben},
year = 2003,
journal = {Neural computation},
publisher = {MIT Press},
volume = 15,
number = 2,
pages = {469--485},
}
@ieeetranbstctl{IEEEexample:BSTcontrol,
ctldash_repeated_names = {no},
}
@misc{researchpaper,
title = {Research Paper dataset},
author = {Harun-Ur-Rashid},
year = 2018,
journal = {https://www. kaggle. com/harunshimanto/research-paper},
}
@article{nannicini2019fast,
title = {Fast quantum subroutines for the simplex method},
author = {Nannicini, Giacomo},
year = 2019,
journal = {arXiv preprint arXiv:1910.10649},
}
@article{van2020quantum,
title = {Quantum SDP-solvers: Better upper and lower bounds},
author = {van Apeldoorn, Joran and Gily{\'e}n, Andr{\'a}s and Gribling, Sander and {de Wolf}, Ronald},
year = 2020,
journal = {Quantum},
publisher = {Verein zur F{\"o}rderung des Open Access Publizierens in den Quantenwissenschaften},
volume = 4,
pages = 230,
}
@article{huang2019near,
title = {Near-term quantum algorithms for linear systems of equations},
author = {Huang, Hsin-Yuan and Bharti, Kishor and Rebentrost, Patrick},
year = 2019,
journal = {arXiv preprint arXiv:1909.07344},
}
@article{hamoudi2020quantum,
title = {Quantum algorithms for hedging and the Sparsitron},
author = {Hamoudi, Yassine and Ray, Maharshi and Rebentrost, Patrick and Santha, Miklos and Wang, Xin and Yang, Siyi},
year = 2020,
journal = {arXiv preprint arXiv:2002.06003},
}
@incollection{vinayakumar2019improved,
title = {Improved DGA Domain Names Detection and Categorization Using Deep Learning Architectures with Classical Machine Learning Algorithms},
author = {Vinayakumar, R and Soman, KP and Poornachandran, Prabaharan and Akarsh, S and Elhoseny, Mohamed},
year = 2019,
booktitle = {Cybersecurity and Secure Information Systems},
publisher = {Springer},
pages = {161--192},
}
@inproceedings{curtin2019detecting,
title = {Detecting DGA domains with recurrent neural networks and side information},
author = {Curtin, Ryan R and Gardner, Andrew B and Grzonkowski, Slawomir and Kleymenov, Alexey and Mosquera, Alejandro},
year = 2019,
booktitle = {Proceedings of the 14th International Conference on Availability, Reliability and Security},
pages = {1--10},
}
@article{jiang2019experimental,
title = {Experimental realization of 105-qubit random access quantum memory},
author = {Jiang, N and Pu, Y-F and Chang, W and Li, C and Zhang, S and Duan, L-M},
year = 2019,
journal = {npj Quantum Information},
publisher = {Nature Publishing Group},
volume = 5,
number = 1,
pages = 28,
}
@incollection{kearns1998information,
title = {An information-theoretic analysis of hard and soft assignment methods for clustering},
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year = 1998,
booktitle = {Learning in graphical models},
publisher = {Springer},
pages = {495--520},
}
@article{gilyen2018quantum,
title = {Quantum-inspired low-rank stochastic regression with logarithmic dependence on the dimension},
author = {Gily{\'e}n, Andr{\'a}s and Lloyd, Seth and Tang, Ewin},
year = 2018,
journal = {arXiv preprint arXiv:1811.04909},
}
@article{chia2018quantum,
title = {Quantum-inspired sublinear classical algorithms for solving low-rank linear systems},
author = {Chia, Nai-Hui and Lin, Han-Hsuan and Wang, Chunhao},
year = 2018,
journal = {arXiv preprint arXiv:1811.04852},
}
@article{liu1995ml,
title = {{ML} estimation of the t distribution using {EM} and its extensions, {ECM} and {ECME}},
author = {Liu, Chuanhai and Rubin, Donald B},
year = 1995,
journal = {Statistica Sinica},
publisher = {JSTOR},
pages = {19--39},
}
@article{buhrman2001quantum,
title = {Quantum fingerprinting},
author = {Buhrman, Harry and Cleve, Richard and Watrous, John and {de Wolf}, Ronald},
year = 2001,
journal = {Physical Review Letters},
publisher = {APS},
volume = 87,
number = 16,
pages = 167902,
}
@article{miyahara2019expectation,
title = {Quantum expectation-maximization algorithm},
author = {Miyahara, Hideyuki and Aihara, Kazuyuki and Lechner, Wolfgang},
year = 2020,
journal = {Physical Review A},
publisher = {APS},
volume = 101,
number = 1,
pages = {012326},
}
@article{church1995poisson,
title = {Poisson mixtures},
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volume = 1,
number = 2,
pages = {163--190},
}
@article{deutsch1992rapid,
title = {Rapid solution of problems by quantum computation},
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year = 1992,
journal = {Proceedings of the Royal Society of London. Series A: Mathematical and Physical Sciences},
publisher = {The Royal Society London},
volume = 439,
number = 1907,
pages = {553--558},
}
@article{blomer2013simple,
title = {Simple methods for initializing the {EM} algorithm for gaussian mixture models},
author = {Bl{\"o}mer, Johannes and Bujna, Kathrin},
year = 2013,
journal = {CoRR},
}
@article{biernacki2003choosing,
title = {Choosing starting values for the {EM} algorithm for getting the highest likelihood in multivariate Gaussian mixture models},
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year = 2003,
journal = {Computational Statistics \& Data Analysis},
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number = {3-4},
pages = {561--575},
}
@article{dallaire2018quantum,
title = {Quantum generative adversarial networks},
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year = 2018,
journal = {Physical Review A},
publisher = {APS},
volume = 98,
number = 1,
pages = {012324},
}
@misc{haas2002expectation,
title = {The expectation-maximization and alternating minimization algorithms},
author = {Haas, Shane M},
year = 2002,
publisher = {September},
}
@article{shor2007estimating,
title = {Estimating Jones polynomials is a complete problem for one clean qubit},
author = {Shor, Peter W and Jordan, Stephen P},
year = 2007,
journal = {arXiv preprint arXiv:0707.2831},
}
@article{Boutsidis,
title = {A randomized algorithm for approximating the log determinant of a symmetric positive definite matrix},
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year = 2017,
journal = {Linear Algebra and its Applications},
publisher = {Elsevier},
volume = 533,
pages = {95--117},
}
@inproceedings{gabrie2018entropy,
title = {Entropy and mutual information in models of deep neural networks},
author = {Gabri{\'e}, Marylou and Manoel, Andre and Luneau, Cl{\'e}ment and Macris, Nicolas and Krzakala, Florent and Zdeborov{\'a}, Lenka and others},
year = 2018,
booktitle = {Advances in Neural Information Processing Systems},
pages = {1821--1831},
}
@article{csiszar1984information,
title = {Information geometry and alternating minimization procedures},
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