Results 41 to 50 of about 3,047,990 (260)
Quantum integration of elementary particle processes
Physics Letters B, 2022 We apply quantum integration to elementary particle-physics processes. In particular, we look at scattering processes such as e+e−→qq¯ and e+e−→qq¯′W.
Gabriele Agliardi +3 more
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Quantum Algorithms for Anomaly Detection Using Amplitude Estimation
SSRN Electronic Journal, 2022 Anomaly detection plays a critical role in fraud detection, health care, intrusion detection, military surveillance, etc. Anomaly detection algorithm based on density estimation (called ADDE algorithm) is one of widely used algorithms. Liang et al. proposed a quantum version of the ADDE algorithm [Phys. Rev. A 99, 052310 (2019)] and it is believed that
Guo, Mingchao +6 more
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Quantum advantage of Monte Carlo option pricing
Journal of Physics Communications, 2023 Quantum computers have the potential to provide quadratic speedup for Monte Carlo methods currently used in various classical applications. In this work, we examine the advantage of quantum computers for financial option pricing with the Monte Carlo ...
Zoltán Udvarnoki +2 more
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Joint quantum estimation of loss and nonlinearity in driven-dissipative Kerr resonators
Physical Review Research, 2023 We address multiparameter quantum estimation for coherently driven nonlinear Kerr resonators in the presence of loss. In particular, we consider the realistic situation in which the parameters of interest are the loss rate and the nonlinear coupling ...
Muhammad Asjad +2 more
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Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems [PDF]
Quantum, 2020 We present a quantum eigenstate filtering algorithm based on quantum signal processing (QSP) and minimax polynomials. The algorithm allows us to efficiently prepare a target eigenstate of a given Hamiltonian, if we have access to an initial state with ...
Lin Lin, Yu Tong
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Recovery With Incomplete Knowledge: Fundamental Bounds on Real-Time Quantum Memories [PDF]
Quantum, 2023 The recovery of fragile quantum states from decoherence is the basis of building a quantum memory, with applications ranging from quantum communications to quantum computing.
Arshag Danageozian
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Grand Unification of Quantum Algorithms
PRX Quantum, 2021 Quantum algorithms offer significant speed-ups over their classical counterparts for a variety of problems. The strongest arguments for this advantage are borne by algorithms for quantum search, quantum phase estimation, and Hamiltonian simulation, which
John M. Martyn +3 more
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Quantum Amplitude Estimation in the Presence of Noise
, 2020 Quantum Amplitude Estimation (QAE) -- a technique by which the amplitude of a given quantum state can be estimated with quadratically fewer queries than by standard sampling -- is a key sub-routine in several important quantum algorithms, including Grover search and Quantum Monte-Carlo methods.
Brown, Eric G. +2 more
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Numerical and geometrical aspects of flow-based variational quantum Monte Carlo
Machine Learning: Science and Technology, 2023 This article aims to summarize recent and ongoing efforts to simulate continuous-variable quantum systems using flow-based variational quantum Monte Carlo techniques, focusing for pedagogical purposes on the example of bosons in the field amplitude ...
James Stokes +2 more
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Quantum Amplitude Amplification and Estimation
, 2000 Consider a Boolean function $χ: X \to \{0,1\}$ that partitions set $X$ between its good and bad elements, where $x$ is good if $χ(x)=1$ and bad otherwise. Consider also a quantum algorithm $\mathcal A$ such that $A |0\rangle= \sum_{x\in X} α_x |x\rangle$ is a quantum superposition of the elements of $X$, and let $a$ denote the probability that a good ...
Brassard, Gilles +3 more
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