Montanaro, A.: Quantum algorithms: an overview. NPJ Quant. Inf. 2, 15023 (2016)Montanaro, A. Quantum algorithms: an overview. NPJ Quantum Information 2016, 2, 15023. [CrossRef]Montanaro A. 2016 Quantum algorithm
As the authors concluded, the proposed quantum algorithms are useful for Hamiltonian simulation, spectral gap amplification, and solving linear systems of equations. In [285], the authors studied the problem of digital quantum simulation of many-body non-Markovian dynamics. The authors defined an ...
over any possible classical algorithm. Although large-scale general-purpose quantum computers do not yet exist, the theory of quantum algorithms has been an active area of study for over 20 years. Here we aim to give a broad overview of quantum algorithmics, focusing on algorithms with clear ap...
Unary quantum gates are not sufficient for building a universal quantum computer (that is a computer capable of executing all the possible quantum algorithms). Therefore we need to introduce systems of multiple qubits. In classical computation, since a bit is an element of the set {0,1}, to...
We review some history and recent developments of quantum computation. We illustrate the power of quantum computers by describing briefly some quantum algorithms. Although quantum computation might allow more efficient solutions of known problems it suff
including limited numbers of qubits and noise processes that limit circuit depth. Variational quantum algorithms (VQAs), which use a classical optimizer to train a parameterized quantum circuit, have emerged as a leading strategy to address these constraints. VQAs have now been proposed for essential...
New Quantum Optimization Benchmarking Library invites researchers to put algorithms to the test Research Christa Zoufal, Stefan Woerner, and Robert Davis 14 May 2025 Quantum Community Quantum Research What’s next in computing is generative and quantumNews ...
include quantum computer science, quantum machine learning, quantum secure communications, quantum information processing, quantum imaging and networking, quantum cryptography, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, and experimental platforms for quantum ...
Dozens of approaches have already been published on quantum machine learning—we briefly overview the major ones. We further mention classical algorithms that borrow metaphors from quantum mechanics; this is also a prolific area of research. View chapter Chapter Rare Earth-Doped Crystals for Quantum ...
Quantum walk acts as the core for designing quantum algorithms. So, adequate importance should be given to the exploration of infusing of quantum walks in algorithms. (ii) Quantum walks provide an intuitive framework for processing of quantum information. Ranging from development of new quantum ...