Quantum algorithms by Abrams, Daniel S. (Daniel Stephen), 1972-

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On Quantum Algorithms by Cleve, R, Ekert, A, Henderson, L, Macchiavello, C, Mosca, M

“…We show how most known quantum algorithms, including quantum algorithms for factorising and counting, may be cast in this manner. …”

Quantum Algorithms by Amini, Seyed Massoud

“…We give a short overview of quantum algorithms. Some famous algorithms such as Deutsch-Jozsa and Simon are covered with more details. …”
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Quantum algorithmic measurement by Dorit Aharonov, Jordan Cotler, Xiao-Liang Qi

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Quantum Algorithms Revisited by Cleve, R, Ekert, A, Macchiavello, C

“…A common pattern underpinning quantum algorithms can be identified when quantum computation is viewed as multi-particle interference. …”

Quantum algorithms revisited by Cleve, R, Ekert, A, Macchiavello, C, Mosca, M

“…A common pattern underpinning quantum algorithms can be identified when quantum computation is viewed as multiparticle interference. …”

Variational quantum algorithms by Cerezo, M, Arrasmith, A, Babbush, R, Benjamin, SC, Endo, S, Fujii, K, McClean, JR, Mitarai, K, Yuan, X, Cincio, L, Coles, PJ

“…Current quantum devices have serious constraints, including limited numbers of qubits and noise processes that limit circuit depth. Variational quantum algorithms (VQAs), which use a classical optimizer to train a parameterized quantum circuit, have emerged as a leading strategy to address these constraints. …”

Grand Unification of Quantum Algorithms by John M. Martyn, Zane M. Rossi, Andrew K. Tan, Isaac L. Chuang

“…Quantum algorithms offer significant speed-ups over their classical counterparts for a variety of problems. …”
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On Gács' quantum algorithmic entropy by Toru Takisaka

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Coherence Depletion in Quantum Algorithms by Ye-Chao Liu, Jiangwei Shang, Xiangdong Zhang

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Stochastic emulation of quantum algorithms by Daniel Braun, Ronny Müller

Subjects: “…quantum algorithm…”
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Accelerating Quantum Algorithms with Precomputation by William J. Huggins, Jarrod R. McClean

“…Motivated by this, we propose a cost model for quantum algorithms that allows quantum precomputation; i.e., for a polynomial amount of ``free'' computation before the input to an algorithm is fully specified, and methods for taking advantage of it. …”
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Encoding patterns for quantum algorithms by Manuela Weigold, Johanna Barzen, Frank Leymann, Marie Salm

“…Abstract As quantum computers are based on the laws of quantum mechanics, they are capable of solving certain problems faster than their classical counterparts. However, quantum algorithms with a theoretical speed‐up often assume that data can be loaded efficiently. …”
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Quantum algorithms for jet clustering by Wei, Annie Y., Naik, Preksha, Harrow, Aram W., Thaler, Jesse

“…A key component of our analysis is the consideration of realistic models for interfacing classical data with a quantum algorithm. With a sequential computing model, we show how to speed up the well-known O(N3) classical algorithm to an O(N2) quantum algorithm, including the O(N) overhead of loading classical data from N final-state particles. …”
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Grand Unification of Quantum Algorithms by Martyn, John M, Rossi, Zane M, Tan, Andrew K, Chuang, Isaac L

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Quantum Algorithms For String Problems by Jin, Ce

“…Specifically, we show that: - Longest Common Substring can be solved by a quantum algorithm in Õ(n²⸍³) time, improving upon the Õ(n⁵⸍⁶)-time algorithm by Le Gall and Seddighin (2022). …”
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Semantic embedding for quantum algorithms by Rossi, Zane M, Chuang, Isaac L

“…As quantum computing matures, a similar need has developed for an assurance of the correctness of high-level quantum algorithmic reasoning. Parallel to this need, many quantum algorithms have been unified and improved using quantum signal processing (QSP) and quantum singular value transformation (QSVT), which characterize the ability, by alternating circuit ansätze, to transform the singular values of sub-blocks of unitary matrices by polynomial functions. …”
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Quantum Algorithm for Data Fitting by Wiebe, Nathan, Braun, Daniel, Lloyd, Seth

“…We provide a new quantum algorithm that efficiently determines the quality of a least-squares fit over an exponentially large data set by building upon an algorithm for solving systems of linear equations efficiently [Harrow et al., Phys. …”
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Evaluation and applications of quantum algorithms by Chong, Chris Yong Jian

“…We will also explore the various utilisations of quantum computing and quantum algorithms in the verticals of finance, chemistry and machine learning.…”
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Topological Structure of Quantum Algorithms by Vicary, J