Cold clouds of atoms—Bose-Einstein Condensates—will test quantum gravity, enable atom-scale lithography and prospect for minerals from afar.
New tools are required if businesses are to take advantage of quantum computing, argues Horizon’s Joe Fitzsimons.
Circa 2019
LONDON — A laboratory in Switzerland has found a way of using a laser to change and regulate the polarization, wavelength and intensity of light in “excitons” in 2D materials, creating the potential for a new generation of transistors with less energy loss and heat dissipation, opening up the potential for low-power quantum computing.
Excitons are created when an electron absorbs light and moves into a higher energy level, or “energy band” as it is called in solid quantum physics. This excited electron leaves behind an “electron hole” in its previous energy band. And because the electron has a negative charge and the hole a positive charge, the two are bound together by an electrostatic force called a Coulomb force. It’s this electron-electron hole pair that is referred to as an exciton.
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Circa 2012
Quantum ground-state problems are computationally hard problems for general many-body Hamiltonians; there is no classical or quantum algorithm known to be able to solve them efficiently. Nevertheless, if a trial wavefunction approximating the ground state is available, as often happens for many problems in physics and chemistry, a quantum computer could employ this trial wavefunction to project the ground state by means of the phase estimation algorithm (PEA). We performed an experimental realization of this idea by implementing a variational-wavefunction approach to solve the ground-state problem of the Heisenberg spin model with an NMR quantum simulator. Our iterative phase estimation procedure yields a high accuracy for the eigenenergies (to the 10–5 decimal digit).
Isaac Newton’s groundbreaking scientific productivity while isolated from the spread of bubonic plague is legendary. University of California San Diego physicists can now claim a stake in the annals of pandemic-driven science.
A team of UC San Diego researchers and colleagues at Purdue University have now simulated the foundation of new types of artificial intelligence computing devices that mimic brain functions, an achievement that resulted from the COVID-19 pandemic lockdown. By combining new supercomputing materials with specialized oxides, the researchers successfully demonstrated the backbone of networks of circuits and devices that mirror the connectivity of neurons and synapses in biologically based neural networks.
The simulations are described in the Proceedings of the National Academy of Sciences (PNAS).
The patent in question is for a system that would use quantum teleportation in order to boost a quantum computer’s reliability, while at the same time reducing the number of qubits required for a given calculation. This “teleportation” technology would help solve scaling issues and calculation errors that arise from system instability.
One of the main issues behind quantum development is once you start pushing the pedal to the metal, there are major issues when it comes to scalability and stability. Quantum computing is far different to the 0s and 1s of traditional technology, so AMD’s new teleportation patent is quite an important step towards solving that issue.
Black holes were once thought not to have pressure, but a new set of quantum calculations has found that they may have some at their edges, which was completely unexpected.
Circa 2020
The setup of lasers and mirrors effectively “solved” a problem far too complicated for even the largest traditional computer system.
