Page 4: Research news on Quantum algorithms & computation

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.

Expanding the search for quantum-ready 2D materials

Quantum technologies from ultrasensitive sensors to next-generation information processors depend on the ability of quantum bits, or qubits, to maintain their delicate quantum states for a sufficiently long time to be useful.

A solid-state quantum processor based on nuclear spins

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of outperforming classical systems on some tasks. Instead of storing information as bits, like classical computers, ...

Shop-bought cable helps power two quantum networks

For decades, physicists have dreamed of a quantum internet: a planetary web of ultrasecure communications and super-powered computation built not from electrical signals, but from the ghostly connections between particles ...

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