Results 11 to 20 of about 34,577 (263)
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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TOOLS FOR QUANTUM ALGORITHMS [PDF]
International Journal of Modern Physics C, 1999 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 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 ...
Wenjie Liu 0001 +4 more
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AppliedMath, 2022 Shor’s algorithm for prime factorization is a hybrid algorithm consisting of a quantum part and a classical part. The main focus of the classical part is a continued fraction analysis.
Johanna Barzen, Frank Leymann
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High-precision quantum algorithms for partial differential equations [PDF]
Quantum, 2021 Quantum computers can produce a quantum encoding of the solution of a system of differential equations exponentially faster than a classical algorithm can produce an explicit description.
Andrew M. Childs +2 more
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Nature Communications, 2023 Quantum algorithms for simulating electronic ground states are slower than popular classical mean-field algorithms such as Hartree–Fock and density functional theory but offer higher accuracy.
Ryan Babbush +8 more
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Machine learning framework to segment sarcomeric structures in SMLM data
Scientific Reports, 2023 Object detection is an image analysis task with a wide range of applications, which is difficult to accomplish with traditional programming. Recent breakthroughs in machine learning have made significant progress in this area.
Dániel Varga +6 more
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Constraint Preserving Mixers for the Quantum Approximate Optimization Algorithm
Algorithms, 2022 The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems.
Franz Georg Fuchs +4 more
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Improving quantum algorithms for quantum chemistry [PDF]
Quantum Information and Computation, 2015 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.
Matthew B. Hastings +3 more
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