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.
Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical computers on some tasks. Despite their potential, the use of these systems remains very ...
A spin qubit, in which quantum information is encoded in the spin state of an electron, is one of the most promising platforms for quantum computing. Spin qubits exhibit long coherence times and are compatible with advanced ...
Quantum Physics
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Studying physics can be very useful—even when it comes to machine learning. A digital "super-brain" with built-in knowledge of the fundamental laws of nature can speed up the development of optical components for everything ...
Nanophysics
Jun 4, 2026
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Quantum computing, once only a theoretical possibility, promises to deliver faster, more energy-efficient computers—but only if scientists can build and scale the hardware needed to run the machines. New research from Virginia ...
Condensed Matter
Jun 3, 2026
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UNSW Sydney engineers have riffed on the famous Schrödinger's cat analogy to demonstrate a more efficient way to eliminate errors in quantum computing.
Quantum Physics
Jun 3, 2026
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For every action, there is an equal and opposite reaction. What goes up must come down. Physical laws like these govern all of the natural world—except for the tiny internal components of today's microprocessors, which operate ...
Condensed Matter
Jun 3, 2026
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Scientists at the University of California, Riverside are making breakthroughs in understanding how quantum wave functions move across ultra-thin materials—research that could eventually improve solar energy technologies ...
Condensed Matter
May 28, 2026
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Quantum computers have the potential to transform science, accelerating breakthroughs in drug development, cosmology, materials science, nuclear physics, and more.
Quantum Physics
May 27, 2026
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Ultra-fast data transfer and superconductivity: Quantum materials offer significant technological prospects—if we can understand them at the atomic scale. A team from the University of Geneva (UNIGE), in collaboration with ...
Condensed Matter
May 27, 2026
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New research led by a graduating Ph.D. student in The University of New Mexico Department of Electrical and Computer Engineering has shown that randomization can improve quantum computer performance in the presence of noise.
Quantum Physics
May 25, 2026
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