Results 11 to 20 of about 2,524,518 (253)
Variational quantum algorithms [PDF]
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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Implementing quantum algorithms using classical electrical circuits: Deutsch, Deutsch-Jozsa and Grover [PDF]
We develop the means to implement Deutsch's algorithm, the Deutsch-Jozsa algorithm and Grover's algorithm using electronic circuits, and review previous attempts to implement quantum algorithms classically.
Dyson, Charles
core +6 more sources
Quantum algorithmic measurement [PDF]
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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Quantum algorithmic differentiation [PDF]
In this work we present an algorithm to perform algorithmic differentiation in the context of quantum computing. We present two versions of the algorithm, one which is fully quantum and one which employees a classical step (hybrid approach). Since the implementation of elementary functions is already possible on quantum computers, the scheme that we ...
Giuseppe Colucci, Francesco Giacosa
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A quantum–quantum Metropolis algorithm [PDF]
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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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 Relief algorithm [PDF]
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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Quantum algorithms for testing and learning Boolean functions [PDF]
We discuss quantum algorithms based on the Bernstein-Vazirani algorithm for finding which input variables a Boolean function depends on. There are 2(n) possible linear Boolean functions of n input variables; given a linear Boolean function, the Bernstein-
Floess, Dominik +2 more
core +1 more source
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.
Matthew B. Hastings +3 more
openaire +2 more sources

