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Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance.
Projective geometry
Oswald Veblen and John Wesley Young · 1918
Earlier work this paper cites.
Application de la théorie des équations intégrales linéaires aux systèmes d’équations différentielles non linéaires
Torsten Carleman · 1932
Earlier work this paper cites.
On distributions of certain Wiener functionals
Mark Kac · 1949
Earlier work this paper cites.
Portfolio selection
Harry Markowitz · 1952
Earlier work this paper cites.
On the transition probability functions of the Markov process
Gisiro Maruyama · 1954
Earlier work this paper cites.
Properties of Bethe-Salpeter wave functions
G. C. Wick · 1954
Earlier work this paper cites.
A variational solution of the time-dependent Schrödinger equation
A.D. McLachlan · 1964
Earlier work this paper cites.
Some methods for classification and analysis of multivariate observations
James MacQueen · 1967
Earlier work this paper cites.
The mathematics of sentence structure
Joachim Lambek · 1968
Earlier work this paper cites.
Axioms for Euclidean Green’s functions
Konrad Osterwalder and Robert Schrader · 1973
Earlier work this paper cites.
Options: A Monte Carlo approach
Phelim P Boyle · 1977
Earlier work this paper cites.
Exceptional paper—location of bank accounts to optimize float: An analytic study of exact and approximate algorithms
Gerard Cornuejols, Marshall L Fisher, and George L Nemhauser · 1977
Earlier work this paper cites.
Product Integration with Application to Differential Equations
John D. Dollard and Charles N. Friedman · 1984
Earlier work this paper cites.
Quantum Monte Carlo
D. Ceperley and B. Alder · 1986
Earlier work this paper cites.
Option valuation using a three jump process
Phelim P. Boyle · 1986
Earlier work this paper cites.
An economic analysis of interest rate swaps
James Bicksler and Andrew H. Chen · 1986
Earlier work this paper cites.
Simulated annealing
Peter JM Van Laarhoven and Emile HL Aarts · 1987
Earlier work this paper cites.
Swaps, the modern process of financial innovation and the vulnerability of a regulatory paradigm
Henry TC Hu · 1989
Earlier work this paper cites.
Nonlinear dynamical systems and Carleman linearization
Krzysztof Kowalski and W-H Steeb · 1991
Earlier work this paper cites.
Random walks on graphs: A survey, combinatorics, Paul Erdos is Eighty
László Lovász · 1993
Earlier work this paper cites.
Probabilistic inference using Markov chain Monte Carlo methods
Radford M Neal · 1993
Earlier work this paper cites.
Principles of quantum mechanics
Ramamurti Shankar · 1994
Earlier work this paper cites.
Pricing with a smile
Bruno Dupire, The Black–scholes Model (see Black, and Gives Options · 1994
Earlier work this paper cites.
Interior-point polynomial algorithms in convex programming
Yurii Nesterov and Arkadii Nemirovskii · 1994
Earlier work this paper cites.
Quantum measurements and the Abelian stabilizer problem
A. Yu. Kitaev · 1995
Earlier work this paper cites.
Quantum Bayesian nets
Robert R Tucci · 1995
Earlier work this paper cites.
A fast quantum mechanical algorithm for database search
Lov K Grover · 1996
Earlier work this paper cites.
A quantum algorithm for finding the minimum
Christoph Dürr and Peter Høyer · 1996
Earlier work this paper cites.
Swap rates and credit quality
Darrell Duffie and Ming Huang · 1996
Earlier work this paper cites.
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Peter W. Shor · 1997
Earlier work this paper cites.
Strengths and weaknesses of quantum computing
Charles H. Bennett, Ethan Bernstein, Gilles Brassard, and Umesh Vazirani · 1997
Earlier work this paper cites.
Markov Chains
J. R. Norris · 1997
Earlier work this paper cites.
Normal inverse Gaussian distributions and stochastic volatility modelling
Ole E. Barndorff-Nielsen · 1997
Earlier work this paper cites.
Introduction to linear optimization
Dimitris Bertsimas and John N Tsitsiklis · 1997
Earlier work this paper cites.
The limits of arbitrage
Andrei Shleifer and Robert W. Vishny · 1997
Earlier work this paper cites.
Tight bounds on quantum searching
M. Boyer, G. Brassard, P. Høyer, and A. Tapp · 1998
Earlier work this paper cites.
Quantum algorithms revisited
R. Cleve, A. Ekert, C. Macchiavello, and M. Mosca · 1998
Earlier work this paper cites.
Discrete time adiabatic theorems for quantum mechanical systems
Alexander Dranov, Johannes Kellendonk, and Rudolf Seiler · 1998
Earlier work this paper cites.
Quantum computation and decision trees
Edward Farhi and Sam Gutmann · 1998
Earlier work this paper cites.
Quantum annealing in the transverse Ising model
Tadashi Kadowaki and Hidetoshi Nishimori · 1998
Earlier work this paper cites.
Predicting U.S. recessions: Financial variables as leading indicators
Arturo Estrella and Frederic S. Mishkin · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
Earlier work this paper cites.
Integer and combinatorial optimization
Laurence A. Wolsey and George L Nemhauser · 1999
Earlier work this paper cites.
Negative-cycle detection algorithms
Boris V Cherkassky and Andrew V Goldberg · 1999
Earlier work this paper cites.
Quantum computation by adiabatic evolution
Edward Farhi, Jeffrey Goldstone, Sam Gutmann, and Michael Sipser · 2000
Earlier work this paper cites.
Introduction to Monte Carlo methods
Stefan Weinzierl · 2000
Earlier work this paper cites.
On default correlation: A copula function approach
David X. Li · 2000
Earlier work this paper cites.
Polynomial convergence of primal-dual algorithms for the second-order cone program based on the MZ-family of directions
Renato Monteiro and Takashi Tsuchiya · 2000
Earlier work this paper cites.
One-dimensional quantum walks
Andris Ambainis, Eric Bach, Ashwin Nayak, Ashvin Vishwanath, and John Watrous · 2001
Earlier work this paper cites.
Quantum walks on graphs
D. Aharonov, A. Ambainis, J. Kempe, and U. Vazirani · 2001
Earlier work this paper cites.
Valuing American options by simulation: a simple least-squares approach
Francis A Longstaff and Eduardo S Schwartz · 2001
Earlier work this paper cites.
An introduction to kernel-based learning algorithms
K.-R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf · 2001
Earlier work this paper cites.
On spectral clustering: Analysis and an algorithm
Andrew Y. Ng, Michael I. Jordan, and Yair Weiss · 2001
Earlier work this paper cites.
Quantum cryptography
Nicolas Gisin, Grégoire Ribordy, Wolfgang Tittel, and Hugo Zbinden · 2002
Earlier work this paper cites.
Classical and Quantum Computation
A. Yu. Kitaev, A. H. Shen, and M. N. Vyalyi · 2002
Earlier work this paper cites.
Quantum search by local adiabatic evolution
Jérémie Roland and Nicolas J. Cerf · 2002
Earlier work this paper cites.
Quantum amplitude amplification and estimation
Gilles Brassard, Peter Høyer, Michele Mosca, and Alain Tapp · 2002
Earlier work this paper cites.
Quantum walks on the hypercube
Cristopher Moore and Alexander Russell · 2002
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An example of the difference between quantum and classical random walks
Andrew M. Childs, Edward Farhi, and Sam Gutmann · 2002
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Quantum random walks hit exponentially faster
Julia Kempe · 2002
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Quantum adiabatic evolution algorithms versus simulated annealing
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2002
Earlier work this paper cites.
Quantum summation with an application to integration
S. Heinrich · 2002
Earlier work this paper cites.
Creating superpositions that correspond to efficiently integrable probability distributions
Lov Grover and Terry Rudolph · 2002
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
Geoffrey E Hinton · 2002
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Fault-tolerant quantum computation by anyons
A. Yu. Kitaev · 2003
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Quantum search on bounded-error inputs
Peter Høyer, Michele Mosca, and Ronald de Wolf · 2003
Earlier work this paper cites.
Quantum random walks: An introductory overview
J. Kempe · 2003
Earlier work this paper cites.
Quantum random-walk search algorithm
Neil Shenvi, Julia Kempe, and K. Birgitta Whaley · 2003
Earlier work this paper cites.
Exponential algorithmic speedup by a quantum walk
Andrew M. Childs, Richard Cleve, Enrico Deotto, Edward Farhi, Sam Gutmann, and Daniel A. Spielman · 2003
Earlier work this paper cites.
Multi-phase computations of the semiclassical limit of the Schrödinger equation and related problems: Whitham vs Wigner
Shi Jin and Xiantao Li · 2003
Earlier work this paper cites.
Random number generation and Monte Carlo methods
James E Gentle · 2003
Earlier work this paper cites.
Implementing pure adaptive search with Grover’s quantum algorithm
David Bulger, William P. Baritompa, and Graham R. Wood · 2003
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Predicting financial crisis in developing economies: astronomy or astrology?
Ilene Grabel · 2003
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Circuit for Shor’s algorithm using 2n+3 qubits
Stephane Beauregard · 2003
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Monte Carlo methods in financial engineering
Paul Glasserman · 2004
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Convex Optimization
Stephen Boyd and Lieven Vandenberghe · 2004
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Fast Monte-Carlo algorithms for finding low-rank approximations
Alan Frieze, Ravi Kannan, and Santosh Vempala · 2004
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Quantum speed-up of Markov chain based algorithms
Mario Szegedy · 2004
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Monte Carlo statistical methods
Christian P Robert, George Casella, and George Casella · 2004
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A new quantum ripple-carry addition circuit
Steven A Cuccaro, Thomas G Draper, Samuel A Kutin, and David Petrie Moulton · 2004
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Fixed-point quantum search
Lov K. Grover · 2005
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Coins make quantum walks faster
Andris Ambainis, Julia Kempe, and Alexander Rivosh · 2005
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Quantum algorithms for subset finding
Andrew M. Childs and Jason M. Eisenberg · 2005
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The principle of least action in quantum mechanics
Richard P Feynman · 2005
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Fast quantum algorithm for numerical gradient estimation
Stephen P. Jordan · 2005
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General explicit difference formulas for numerical differentiation
Jianping Li · 2005
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Grover’s quantum algorithm applied to global optimization
William P Baritompa, David W Bulger, and Graham R Wood · 2005
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Transformation of quantum states using uniformly controlled rotations
Mikko Möttönen, Juha J. Vartiainen, Ville Bergholm, and Martti M. Salomaa · 2005
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Efficient quantum algorithms for simulating sparse Hamiltonians
Dominic W. Berry, Graeme Ahokas, Richard Cleve, and Barry C. Sanders · 2006
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The mathematics of arbitrage
Freddy Delbaen and Walter Schachermayer · 2006
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Quantum walk algorithm for element distinctness
Andris Ambainis · 2007
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Numerical treatment of partial differential equations
Christian Grossmann, Hans-Görg Roos, and Martin Stynes · 2007
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Quantile mechanics
Gyorgy Steinbrecher and William Shaw · 2007
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Optimal stopping rules
Albert N Shiryaev · 2007
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A mixed integer linear programming formulation of the optimal mean/value-at-risk portfolio problem
S. Benati and R. Rizzi · 2007
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Advanced linear algebra
Steven Roman · 2008
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Adiabatic quantum computation is equivalent to standard quantum computation
Dorit Aharonov, Wim Van Dam, Julia Kempe, Zeph Landau, Seth Lloyd, and Oded Regev · 2008
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Realizable Hamiltonians for universal adiabatic quantum computers
Jacob D. Biamonte and Peter J. Love · 2008
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Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
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Quantum simulations of classical annealing processes
R. D. Somma, S. Boixo, H. Barnum, and E. Knill · 2008
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Multilevel Monte Carlo path simulation
Michael B Giles · 2008
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A quantum algorithm to solve nonlinear differential equations
Sarah K Leyton and Tobias J Osborne · 2008
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Quantum reinforcement learning
Daoyi Dong, Chunlin Chen, Hanxiong Li, and Tzyh-Jong Tarn · 2008
Earlier work this paper cites.
Tests of quantum information
R. G. Beausoleil, W. J. Munro, T. P. Spiller, and W. K. van Dam · 2008
Earlier work this paper cites.
Introduction to algorithms
Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein · 2009
Earlier work this paper cites.
Computational complexity: a modern approach
Sanjeev Arora and Boaz Barak · 2009
Earlier work this paper cites.
Quantum algorithm for linear systems of equations
Aram W. Harrow, Avinatan Hassidim, and Seth Lloyd · 2009
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On the relationship between continuous- and discrete-time quantum walk
Andrew M. Childs · 2009
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Probabilistic Graphical Models: Principles and Techniques
Daphne Koller and Nir Friedman · 2009
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Deep Boltzmann machines
Ruslan Salakhutdinov and Geoffrey Hinton · 2009
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Samson Abramsky and Bob Coecke · 2009
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Quantum Computation and Quantum Information
Michael A. Nielsen and Isaac L. Chuang · 2010
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Quantum algorithms for algebraic problems
Andrew M Childs and Wim Van Dam · 2010
Earlier work this paper cites.
High fidelity quantum gates via dynamical decoupling
Jacob R. West, Daniel A. Lidar, Bryan H. Fong, and Mark F. Gyure · 2010
Earlier work this paper cites.
Quantum search with variable times
Andris Ambainis · 2010
Earlier work this paper cites.
Random Walk: A Modern Introduction
Gregory F. Lawler and Vlada Limic · 2010
Earlier work this paper cites.
Credit default swaps and the credit crisis
René M Stulz · 2010
Earlier work this paper cites.
Mathematical foundations for a compositional distributional model of meaning
Bob Coecke, Mehrnoosh Sadrzadeh, and Stephen Clark · 2010
Earlier work this paper cites.
Categories for the practising physicist
Bob Coecke and Eric Oliver Paquette · 2010
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Search via quantum walk
Frédéric Magniez, Ashwin Nayak, Jérémie Roland, and Miklos Santha · 2011
Earlier work this paper cites.
Gilles Brassard, Frederic Dupuis, Sebastien Gambs, and Alain Tapp · 2011
Earlier work this paper cites.
Spectral methods: algorithms, analysis and applications
Jie Shen, Tao Tang, and Li-Lian Wang · 2011
Earlier work this paper cites.
Currency arbitrage detection using a binary integer programming model
Wanmei Soon and Heng-Qing Ye · 2011
Earlier work this paper cites.
Quantum-state preparation with universal gate decompositions
Martin Plesch and Časlav Brukner · 2011
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Interacting quantum observables: categorical algebra and diagrammatics
Bob Coecke and Ross Duncan · 2011
Earlier work this paper cites.
Quantum computing and the entanglement frontier
John Preskill · 2012
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Surface codes: Towards practical large-scale quantum computation
A. G. Fowler, M. Mariantoni, J. M. Martinis, and A. N. Cleland · 2012
Earlier work this paper cites.
Variable time amplitude amplification and quantum algorithms for linear algebra problems
Andris Ambainis · 2012
Earlier work this paper cites.
Introduction to Stochastic Calculus with Applications
F. C. Klebaner · 2012
Earlier work this paper cites.
Quantum walks: a comprehensive review
Salvador Elías Venegas-Andraca · 2012
Earlier work this paper cites.
The Geometry of Minkowski Spacetime: An Introduction to the Mathematics of the Special Theory of Relativity
Gregory L Naber · 2012
Earlier work this paper cites.
Quantum algorithm for data fitting
Nathan Wiebe, Daniel Braun, and Seth Lloyd · 2012
Earlier work this paper cites.
Quantum Error Correction
Daniel A. Lidar and Todd A. Brun · 2013
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Quantum algorithm and circuit design solving the Poisson equation
Yudong Cao, Anargyros Papageorgiou, Iasonas Petras, Joseph Traub, and Sabre Kais · 2013
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Algorithmics for hard problems: introduction to combinatorial optimization, randomization, approximation, and heuristics
J. Hromkovič · 2013
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Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2013
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Quantum speed-up for unsupervised learning
E. Aïmeur, G. Brassard, and S. Gambs · 2013
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Quantifying the effects of local many-qubit errors and nonlocal two-qubit errors on the surface code
Austin G Fowler and John M Martinis · 2014
Earlier work this paper cites.
Exponential improvement in precision for simulating sparse Hamiltonians
Dominic W Berry, Andrew M Childs, Richard Cleve, Robin Kothari, and Rolando D Somma · 2014
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Quantum algorithms for linear algebra and machine learning
Anupam Prakash · 2014
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A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo, Jarrod McClean, Peter Shadbolt, Man-Hong Yung, Xiao-Qi Zhou, Peter J. Love, Alán Aspuru-Guzik, and Jeremy L. O’Brien · 2014
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A quantum approximate optimization algorithm
Edward Farhi, Jeffrey Goldstone, and Sam Gutmann · 2014
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Monte Carlo sampling-based methods for stochastic optimization
Tito Homem-de-Mello and Güzin Bayraksan · 2014
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High-order quantum algorithm for solving linear differential equations
Dominic W Berry · 2014
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Monte Carlo methods for value-at-risk and conditional value-at-risk: A review
L. Jeff Hong, Zhaolin Hu, and Guangwu Liu · 2014
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The unconstrained binary quadratic programming problem: a survey
Gary Kochenberger, Jin-Kao Hao, Fred Glover, Mark Lewis, Zhipeng Lü, Haibo Wang, and Yang Wang · 2014
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Ising formulations of many NP problems
Andrew Lucas · 2014
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A practical heuristic for finding graph minors
Jun Cai, William G Macready, and Aidan Roy · 2014
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Financial networks and contagion
Matthew Elliott, Benjamin Golub, and Matthew O. Jackson · 2014
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Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd · 2014
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Quantum principal component analysis
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2014
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Quantum inference on Bayesian networks
Guang Hao LLow, Theodore James Yoder, and Isaac L Chuang · 2014
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Quantum speedup for active learning agents
G. D. Paparo, V. Dunjko, A. Makmal, M. A. Martin-Delgado, and H. J. Briegel · 2014
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The Future of Finance: Volume 3: The socialization of finance , 2015
Heath P. Terry, Debra Schwartz, and Tina Sun · 2015
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Read the Fine Print
Scott Aaronson · 2015
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Hamiltonian simulation with nearly optimal dependence on all parameters
Dominic W. Berry, Andrew M. Childs, and Robin Kothari · 2015
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Quantum vs. classical algorithms for solving the heat equation
Noah Linden, Ashley Montanaro, and Changpeng Shao · 2020
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Breaking limitation of quantum annealer in solving optimization problems under constraints
Masayuki Ohzeki · 2020
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Quantum computing with neutral atoms
Loïc Henriet, Lucas Beguin, Adrien Signoles, Thierry Lahaye, Antoine Browaeys, Georges-Olivier Reymond, and Christophe Jurczak · 2020
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Training the quantum approximate optimization algorithm without access to a quantum processing unit
Michael Streif and Martin Leib · 2020
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Learning to optimize variational quantum circuits to solve combinatorial problems
Sami Khairy, Ruslan Shaydulin, Lukasz Cincio, Yuri Alexeev, and Prasanna Balaprakash · 2020
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A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
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Quantum speedup of Monte Carlo methods
Ashley Montanaro · 2015
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XVA: credit, funding and capital valuation adjustments
Andrew Green · 2015
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Quantum optimization of fully connected spin glasses
Davide Venturelli, Salvatore Mandrà, Sergey Knysh, Bryan O’Gorman, Rupak Biswas, and Vadim Smelyanskiy · 2015
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A quantum annealing architecture with all-to-all connectivity from local interactions
Wolfgang Lechner, Philipp Hauke, and Peter Zoller · 2015
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Linear and mixed integer programming for portfolio optimization
Renata Mansini, Włodzimierz Ogryczak, and M. Grazia Speranza · 2015
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Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
N. Wiebe, A. Kapoor, and K. Svore · 2015
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Arthur G. Rattew, Shaohan Hu, Marco Pistoia, Richard Chen, and Steve Wood · 2020
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Demonstration of adiabatic variational quantum computing with a superconducting quantum coprocessor
Ming-Cheng Chen, Ming Gong, Xiaosi Xu, Xiao Yuan, Jian-Wen Wang, Can Wang, Chong Ying, Jin Lin, Yu Xu, Yulin Wu, and et al · 2020
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Quantum SDP-solvers: Better upper and lower bounds
Joran van Apeldoorn, András Gilyén, Sander Gribling, and Ronald de Wolf · 2020
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Quantum-inspired algorithms in practice
Juan Miguel Arrazola, Alain Delgado, Bhaskar Roy Bardhan, and Seth Lloyd · 2020
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Quantum expectation-maximization algorithm
Hideyuki Miyahara, Kazuyuki Aihara, and Wolfgang Lechner · 2020
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Quantum speedup for graph sparsification, cut approximation and Laplacian solving
Simon Apers and Ronald de Wolf · 2020
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Quantum expectation-maximization for Gaussian mixture models
Iordanis Kerenidis, Alessandro Luongo, and Anupam Prakash · 2020
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A low complexity quantum principal component analysis algorithm, 2020
Chen He, Jiazhen Li, Weiqi Liu, and Z. Jane Wang · 2020
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Quantum algorithm for the nonlinear dimensionality reduction with arbitrary kernel
YaoChong Li, Ri-Gui Zhou, RuiQing Xu, WenWen Hu, and Ping Fan · 2020
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Classification of the MNIST data set with quantum slow feature analysis
Iordanis Kerenidis and Alessandro Luongo · 2020
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Towards quantum advantage via topological data analysis
Casper Gyurik, Chris Cade, and Vedran Dunjko · 2020
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Experimental evaluation of quantum bayesian networks on IBM QX hardware
Sima E Borujeni, Nam H Nguyen, Saideep Nannapaneni, Elizabeth C Behrman, and James E Steck · 2020
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Training deep quantum neural networks
Kerstin Beer, Dmytro Bondarenko, Terry Farrelly, Tobias J. Osborne, Robert Salzmann, Daniel Scheiermann, and Ramona Wolf · 2020
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Quantum algorithms for feedforward neural networks
Jonathan Allcock, Chang-Yu Hsieh, Iordanis Kerenidis, and Shengyu Zhang · 2020
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Quanvolutional neural networks: powering image recognition with quantum circuits
Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan, and Tristan Cook · 2020
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Variational quantum circuits for deep reinforcement learning
Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, and Hsi-Sheng Goan · 2020
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Reinforcement learning with quantum variational circuits
Owen Lockwood and Mei Si · 2020
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GPT-3: Its nature, scope, limits, and consequences
Luciano Floridi and Massimo Chiriatti · 2020
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Language (technology) is power: A critical survey of “bias” in NLP
Su Lin Blodgett, Solon Barocas, Hal Daumé III, and Hanna Wallach · 2020
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Agatha: Automatic graph mining and transformer based hypothesis generation approach
Justin Sybrandt, Ilya Tyagin, Michael Shtutman, and Ilya Safro · 2020
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The carbon impact of artificial intelligence
Payal Dhar · 2020
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Foundations for near-term quantum natural language processing
Bob Coecke, Giovanni de Felice, Konstantinos Meichanetzidis, and Alexis Toumi · 2020
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Grammar-aware question-answering on quantum computers
Konstantinos Meichanetzidis, Alexis Toumi, Giovanni de Felice, and Bob Coecke · 2020
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Recurrent quantum neural networks
Johannes Bausch · 2020
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Quantum long short-term memory
Samuel Yen-Chi Chen, Shinjae Yoo, and Yao-Lung L Fang · 2020
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Empirical asset pricing via machine learning
Shihao Gu, Bryan Kelly, and Dacheng Xiu · 2020
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Deep learning in asset pricing
L. Chen, M. Pelger, and J. Zhu · 2020
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Application of deep quantum neural networks to finance
T. Sakuma · 2020
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Quantum Machine Learning for Finance
Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, and Romina Yalovetzky · 2021
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Quantum computing for supply chain finance
Paul Griffin and Ritesh Sampat · 2021
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Quantum computing in high frequency trading and fraud detection
Apoorva Ganapathy · 2021
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Financial Services Global Market Report 2021: COVID-19 Impact and Recovery to 2030 , 2021
Research and Markets · 2021
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How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits
Craig Gidney and Martin Ekerå · 2021
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Quantum collision attacks on reduced SHA-256 and SHA-512
Akinori Hosoyamada and Yu Sasaki · 2021
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Beyond quadratic speedups in quantum attacks on symmetric schemes
Xavier Bonnetain, André Schrottenloher, and Ferdinand Sibleyras · 2021
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Quantum computer systems for scientific discovery
Yuri Alexeev, Dave Bacon, Kenneth R. Brown, Robert Calderbank, Lincoln D. Carr, Frederic T. Chong, Brian DeMarco, Dirk Englund, Edward Farhi, Bill Fefferman, Alexey V. Gorshkov, Andrew Houck, Jungsang Kim, Shelby Kimmel, Michael Lange, Seth Lloyd, Mikhail D. Lukin, Dmitri Maslov, Peter Maunz, Christopher Monroe, John Preskill, Martin Roetteler, Martin J. Savage, and Jeff Thompson · 2021
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Continuous variable quantum algorithms: an introduction
Samantha Buck, Robin Coleman, and Hayk Sargsyan · 2021
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A comparative study of universal quantum computing models: towards a physical unification a comparative study of universal quantum computing models: towards a physical unification
Dong-Sheng Wang · 2021
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The efficient preparation of normal distributions in quantum registers
Arthur G Rattew, Yue Sun, Pierre Minssen, and Marco Pistoia · 2021
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Performance evaluation and acceleration of the QTensor quantum circuit simulator on GPUs
Danylo Lykov, Angela Chen, Huaxuan Chen, Kristopher Keipert, Zheng Zhang, Tom Gibbs, and Yuri Alexeev · 2021
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Importance of diagonal gates in tensor network simulations
Danylo Lykov and Yuri Alexeev · 2021
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Mitigating measurement errors in multiqubit experiments
Sergey Bravyi, Sarah Sheldon, Abhinav Kandala, David C. Mckay, and Jay M. Gambetta · 2021
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Demonstration of the trapped-ion quantum CCD computer architecture
J. Pino, Joan Dreiling, C. Figgatt, J. Gaebler, S. Moses, M. Allman, C. Baldwin, Michael Foss-Feig, D. Hayes, K. Mayer, C. Ryan-Anderson, and Brian Neyenhuis · 2021
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Iterative quantum amplitude estimation
Dmitry Grinko, Julien Gacon, Christa Zoufal, and Stefan Woerner · 2021
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Variational quantum amplitude estimation
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Later among the works it cites.
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Grover adaptive search for constrained polynomial binary optimization
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Fast quantum subroutines for the simplex method
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The inductive bias of quantum kernels
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Quantum topological data analysis with linear depth and exponential speedup
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Quantum versus classical generative modelling in finance
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Later among the works it cites.
Generative quantum learning of joint probability distribution functions
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Later among the works it cites.
Quantum circuit representation of Bayesian networks
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Later among the works it cites.
Training restricted Boltzmann machines with a d-wave quantum annealer
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Later among the works it cites.
Classical and quantum algorithms for orthogonal neural networks
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Effect of data encoding on the expressive power of variational quantum-machine-learning models
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Supervised quantum machine learning models are kernel methods
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Quantum enhancements for deep reinforcement learning in large spaces
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Learning temporal data with a variational quantum recurrent neural network
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Deep learning for anomaly detection: A review
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Later among the works it cites.
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Later among the works it cites.
Quantum algorithms for anomaly detection using amplitude estimation
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Later among the works it cites.
Machine Learning in Asset Pricing
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Later among the works it cites.
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Foundations for Bayesian inference with engineered likelihood functions for robust amplitude estimation
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Quantum optimization of maximum independent set using rydberg atom arrays
S. Ebadi, A. Keesling, M. Cain, T. T. Wang, H. Levine, D. Bluvstein, G. Semeghini, A. Omran, J.-G. Liu, R. Samajdar, X.-Z. Luo, B. Nash, X. Gao, B. Barak, E. Farhi, S. Sachdev, N. Gemelke, L. Zhou, S. Choi, H. Pichler, S.-T. Wang, M. Greiner, V. Vuletić, and M. D. Lukin · 2022
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Constrained quantum optimization for extractive summarization on a trapped-ion quantum computer
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Quantum machine learning with subspace states
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Expressivity of variational quantum machine learning on the Boolean cube
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Quantum reinforcement learning via policy iteration, 2022
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