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.
Over the past decades, computer scientists have developed various computing tools that could help to solve challenges in quantum physics. These include large-scale deep neural networks that can be trained to predict the ground ...
Quantum information systems offer faster, more powerful computing methods than standard computers to help solve many of the world's toughest problems. Yet fulfilling this ultimate promise will require bigger and more interconnected ...
Optics & Photonics
Jul 23, 2024
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In a new Physical Review Letters study, scientists propose a new method for combining solid-state spin qubits with nanomechanical resonators for scalable and programmable quantum systems.
The United Nations has proclaimed 2025 as the International Year of Quantum Science and Technology. The goal is to recognize "the importance of quantum science and the need for wider awareness of its past and future impact." ...
Quantum Physics
Jul 17, 2024
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In a significant leap forward for quantum technology, researchers have achieved a milestone in harnessing the frequency dimension within integrated photonics. This breakthrough not only promises advancements in quantum computing, ...
Optics & Photonics
Jul 15, 2024
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Quantum computers have to be kept cold to function—very cold. These machines generally run at "just a few degrees above absolute zero," says Yoseob Yoon, assistant professor of mechanical and industrial engineering at Northeastern ...
Nanophysics
Jul 15, 2024
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Could artificial intelligence help overcome one of quantum computing's biggest roadblocks?
Quantum Physics
Jul 12, 2024
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Entanglement, Einstein's "spooky action at a distance," today is THE tool of quantum information science. It is the essential resource for quantum computers and used to transmit quantum information in a future quantum network. ...
Optics & Photonics
Jul 12, 2024
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Quantum computing, which uses the laws of quantum mechanics, can solve pressing problems in a broad range of fields, from medicine to machine learning, that are too complex for classical computers.
Condensed Matter
Jul 11, 2024
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Implementing a fault-tolerant quantum processor requires coupling qubits to generate entanglement. Superconducting qubits are a promising platform for quantum information processing, but scaling up to a full-scale quantum ...
Condensed Matter
Jul 10, 2024
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