Results 11 to 20 of about 259,803 (278)
Quantum Algorithms Revisited [PDF]
Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1997 Quantum computers use the quantum interference of different computational paths to enhance correct outcomes and suppress erroneous outcomes of computations.
Cleve, Richard +3 more
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Quantum Algorithms for Quantum Field Theories [PDF]
Science, 2011 Quantum field theory reconciles quantum mechanics and special relativity, and plays a central role in many areas of physics. We develop a quantum algorithm to compute relativistic scattering probabilities in a massive quantum field theory with quartic ...
Jordan, Stephen P. +2 more
core +7 more sources
Multiscale quantum algorithms for quantum chemistry. [PDF]
Chem Sci, 2023 We propose a multiscale quantum computing framework suitable for efficient simulations of complex chemical systems on near-term quantum devices.
Ma H +5 more
europepmc +3 more sources
Quantum algorithmic measurement [PDF]
Nature Communications, 2022 AbstractThere has been recent promising experimental and theoretical evidence that quantum computational tools might enhance the precision and efficiency of physical experiments. However, a systematic treatment and comprehensive framework are missing.
Dorit Aharonov +2 more
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Variational quantum algorithms [PDF]
Nature Reviews Physics, 2021 Applications such as simulating complicated quantum systems or solving large-scale linear algebra problems are very challenging for classical computers due to the extremely high computational cost. Quantum computers promise a solution, although fault-tolerant quantum computers will likely not be available in the near future.
M. Cerezo +10 more
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A quantum–quantum Metropolis algorithm [PDF]
Proceedings of the National Academy of Sciences, 2012 The classical Metropolis sampling method is a cornerstone of many statistical modeling applications that range from physics, chemistry, and biology to economics. This method is particularly suitable for sampling the thermal distributions of classical systems. The challenge of extending this method to the simulation of arbitrary quantum systems is that,
Yung, Man-Hong, Aspuru-Guzik, Alan
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Quantum Relief algorithm [PDF]
Quantum Information Processing, 2018 Relief algorithm is a feature selection algorithm used in binary classification proposed by Kira and Rendell, and its computational complexity remarkable increases with both the scale of samples and the number of features. In order to reduce the complexity, a quantum feature selection algorithm based on Relief algorithm, also called quantum Relief ...
Wen-Jie Liu +4 more
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Quantum prediction algorithms [PDF]
Physical Review A, 1997 53 pages, RevTeX with ...
Kent, Adrian, McElwaine, Jim
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Quantum defragmentation algorithm [PDF]
Physical Review A, 2010 In this addendum of our paper [D. Burgarth and V. Giovannetti, Phys. Rev. Lett. 99, 100501 (2007)] we prove that during the transformation that allows one to enforce control by relaxation on a quantum system, the ancillary memory can be kept at a finite size, independently from the fidelity one wants to achieve.
BURGARTH D, GIOVANNETTI, VITTORIO
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Quantum Algorithms for Estimating Quantum Entropies
Physical Review Applied, 2023 36 pages, 8 ...
Youle Wang, Benchi Zhao, Xin Wang
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