Quantum algorithms and computation is a research area focused on exploiting quantum mechanical principles—such as superposition, entanglement, and interference—to design computational models and algorithms with capabilities beyond classical computing. It encompasses the study of quantum complexity classes, algorithmic paradigms (e.g., phase estimation, amplitude amplification, variational and adiabatic methods), and architectures for quantum circuits and measurement-based computation. The field investigates provable speedups for problems like factoring, simulation of quantum systems, optimization, and sampling, along with resource requirements, error models, and fault-tolerant schemes, thereby linking theoretical computer science, quantum information theory, and physical realizations of quantum processors.
A major challenge in realizing quantum computers is the development of quantum error correction technology. This technology offers a solution for addressing errors that occur in the qubit, the basic unit of quantum computation, ...
Quantum Physics
Oct 16, 2024
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A study in Nature Physics has realized a dual-species Rydberg array combining rubidium (Rb) and cesium (Cs) atoms to enhance quantum computing and its applications.
To achieve remarkable performances, quantum computing systems based on multiple qubits must attain high-fidelity entanglement between their underlying qubits. Past studies have shown that solid-state quantum platforms—quantum ...
A new study has uncovered important behavior in the flow of electric current through quantum superconductors, potentially advancing the development of future technologies like quantum computing.
Superconductivity
Oct 14, 2024
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Programmable quantum computers have the potential to efficiently simulate increasingly complex molecular structures, electronic structures, chemical reactions, and quantum mechanical states in chemistry that classical computers ...
Quantum Physics
Oct 14, 2024
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Researchers have made a discovery that could make quantum computing more compact, potentially shrinking essential components 1,000 times while also requiring less equipment. The research is published in Nature Photonics.
Optics & Photonics
Oct 14, 2024
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Researchers at Freie Universität Berlin, University of Maryland and NIST, Google AI, and Abu Dhabi set out to robustly estimate the free Hamiltonian parameters of bosonic excitations in a superconducting quantum simulator. ...
A team of engineers, physicists and quantum specialists at Google Research has found that reducing noise to a certain level allows the company's sycamore quantum chip to beat classical computers running random circuit sampling ...
A recent study, published in Nature Photonics, by Prof. Yaron Bromberg and Dr. Ohad Lib from the Racah Institute of Physics at the Hebrew University of Jerusalem has made significant strides in advancing quantum computing ...
Optics & Photonics
Oct 9, 2024
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A research team led by the Department of Energy's Oak Ridge National Laboratory has devised a unique method to observe changes in materials at the atomic level. The technique opens new avenues for understanding and developing ...
Condensed Matter
Oct 9, 2024
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