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Quantum computing at the quantum advantage threshold: a down-to-business review
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It is expected that quantum computers would enable solving various problems that are beyond the capabilities of the most powerful current supercomputers, which are based on classical technologies. In the last three decades, advances in quantum computing stimulated significant interest in this field from industry, investors, media, executives, and general public. However, the understanding of this technology, its current capabilities and its potential impact in these communities is still lacking. Closing this gap requires a complete picture of how to assess quantum computing devices' performance and estimate their potential, a task made harder by the variety of quantum computing models and physical platforms. Here we review the state of the art in quantum computing, promising computational models and the most developed physical platforms. We also discuss potential applications, the requirements posed by these applications and technological pathways towards addressing these requirements. Finally, we summarize and analyze the arguments for the quantum computing market's further exponential growth. The review is written in a simple language without equations, and should be accessible to readers with no advanced background in mathematics and physics.
Forward citations
Cited by 5 Pith papers
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Quantum logic operations and algorithms in a single 25-level atomic qudit
A single 137Ba+ ion acts as a 25-level qudit with 99.51% heralded SPAM fidelity, and runs Bernstein-Vazirani and Toffoli circuits on up to four virtual qubits.
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Modeling Optical Polarization Evolution in Myelinated Axon Waveguides with Realistic Imperfections
Simulations of myelinated axons with myelin thickness variation, non-circular cross-sections, and bending show polarization fidelity drops but recovers to ~0.8 in certain modes when all imperfections combine.
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Applying Grover-mixer quantum alternating operator ansatz algorithm to higher-order unconstrained binary optimization problems
Using a Grover mixer instead of a transverse-field mixer makes QAOA's ground-state success probability keep improving with depth on high-order binary optimization instances, and a Gaussian/EVT parameter heuristic come...
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Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
Selective re-encoding of top PCA features inside a QCNN, plus joint optimization of a PCA-based and an autoencoder-based QCNN, improves binary image classification accuracy on MNIST and Fashion-MNIST over the paper's ...
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Analog Circuit-QED Simulator of Quantum Spin Dynamics Through the Extended Bose-Hubbard Model
A circuit-QED Josephson junction array is designed to realize an extended Bose-Hubbard model whose dynamics exactly reproduces spin-1/2 Heisenberg dynamics in the single-excitation subspace.
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