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Quantum Algorithms for Estimating Quantum Entropies
36 pages, 8 ...
Youle Wang, Benchi Zhao, Xin Wang
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Quantum Algorithm for High Energy Physics Simulations.
Simulating quantum field theories is a flagship application of quantum computing. However, calculating experimentally relevant high energy scattering amplitudes entirely on a quantum computer is prohibitively difficult.
B. Nachman +3 more
semanticscholar +1 more source
Quantum algorithm for Petz recovery channels and pretty good measurements [PDF]
The Petz recovery channel plays an important role in quantum information science as an operation that approximately reverses the effect of a quantum channel.
Andr'as Gily'en +4 more
semanticscholar +1 more source
Quantum Modular Multiplication
Quantum modular multiplication circuit is one of the basic quantum computation circuits which are basic functions in quantum algorithms. However, since quantum-quantum modular multipliers require a high cost reversible modular inversion routine for ...
Seong-Min Cho +4 more
doaj +1 more source
Variational quantum algorithm for estimating the quantum Fisher information [PDF]
The Quantum Fisher information (QFI) quantifies the ultimate precision of estimating a parameter from a quantum state, and can be regarded as a reliability measure of a quantum system as a quantum sensor.
J. Beckey +3 more
semanticscholar +1 more source
TOOLS FOR QUANTUM ALGORITHMS [PDF]
We present efficient implementations of a number of operations for quantum computers. These include controlled phase adjustments of the amplitudes in a superposition, permutations, approximations of transformations and generalizations of the phase adjustments to block matrix transformations.
Hogg, Tad +3 more
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Quantum teleportation with atoms: quantum process tomography [PDF]
The performance of a quantum teleportation algorithm implemented on an ion trap quantum computer is investigated. First the algorithm is analyzed in terms of the teleportation fidelity of six input states evenly distributed over the Bloch sphere ...
Benhelm, J. +6 more
core +1 more source
Quantum Algorithm for Spectral Regression for Regularized Subspace Learning
In this paper, we propose an efficient quantum algorithm for spectral regression which is a dimensionality reduction framework based on the regression and spectral graph analysis. The quantum algorithm involves two core subroutines: the quantum principal
Fan-Xu Meng +3 more
doaj +1 more source
Quantum annealing with twisted fields
Quantum annealing (QA) is a promising method for solving combinational optimization problems and performing quantum chemical calculations. The main sources of errors in QA are the effects of decoherence and non-adiabatic transition.
Takashi Imoto +3 more
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Improving quantum algorithms for quantum chemistry [PDF]
We present several improvements to the standard Trotter-Suzuki based algorithms used in the simulation of quantum chemistry on a quantum computer. First, we modify how Jordan-Wigner transformations are implemented to reduce their cost from linear or logarithmic in the number of orbitals to a constant.
Hastings, M. B. +3 more
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