Results 11 to 20 of about 260,825 (178)
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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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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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
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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
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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 Simulation Logic, Oracles, and the Quantum Advantage
Entropy, 2019 Query complexity is a common tool for comparing quantum and classical computation, and it has produced many examples of how quantum algorithms differ from classical ones.
Niklas Johansson, Jan-Åke Larsson
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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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Power Network Optimization: A Quantum Approach
IEEE Access, 2023 Optimization of electricity surplus is a crucial element for transmission power networks since it leads to reducing costs as well as increasing efficiency across the network as a whole.
Giuseppe Colucci +2 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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Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation
Mathematics, 2022 The quantum approximate optimisation algorithm is a p layer, time variable split operator method executed on a quantum processor and driven to convergence by classical outer-loop optimisation.
Daniil Rabinovich +4 more
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