Simulation of non-Hermitian quantum mechanics using a quantum computer goes beyond centuries-old conventions. Aalto researchers have used an IBM quantum computer to explore an overlooked area of physics, and have challenged 100-year-old cherished notions about information at the quantum level.
Electrons in materials have a property known as ‘spin’, which is responsible for a variety of properties, the most well-known of which is magnetism. Permanent magnets, like the ones used for refrigerator doors, have all the spins in their electrons aligned in the same direction. Scientists refer to this behavior as ferromagnetism, and the research field of trying to manipulate spin as spintronics.
Down in the quantum world, spins can arrange in more exotic ways, giving rise to frustrated states and entangled magnets. Interestingly, a property similar to spin, known as “the valley,” appears in graphene materials. This unique feature has given rise to the field of valleytronics, which aims to exploit the valley property for emergent physics and information processing, very much like spintronics relies on pure spin physics.
How to visualize a Quantum Computation. In particular, this article presents a way to understand how superpositions work through a graphical tree.
Some thoughts triggered by the death of the mathematician John Conway.
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Intel engineers have solved the quality control challenge for mass production of quantum computers.
This work provides evidence for something scientists predicted long ago.
Scientists have spotted the first evidence of a rare Higgs boson decay, expanding our understanding of the strange quantum universe.
The toolset runs with Q-CTRL’s flagship BOULDER OPAL software for developers and R&D teams, automated closed-loop hardware optimization is also trained to obtain new experimental data/results from quantum computers while simultaneously running optimizations for algorithms. It can be used as a standalone tool or in tandem with a machine-learner online optimization package (M-LOOP) that manages quantum experiments autonomously.
To build a universal quantum computer from fragile quantum components, effective implementation of quantum error correction (QEC) is an essential requirement and a central challenge. QEC is used in quantum computing, which has the potential to solve scientific problems beyond the scope of supercomputers, to protect quantum information from errors due to various noise.
Over the past few years, many physicists worldwide have conducted research investigating chaos in quantum systems composed of strongly interacting particles, also known as many-body chaos. The study of many-body chaos has broadened the current understanding of quantum thermalization (i.e., the process through which quantum particles reach thermal equilibrium by interacting with one another) and revealed surprising connections between microscopic physics and the dynamics of black holes.
A major skills shortage in quantum computing could harm the UK economy unless universities recruit more students.