Software & Algorithms

Intel’s Loihi Chip and Lava Framework – A Challenger to Quantum Optimization?

Intel introduced Loihi 2, its second-generation neuromorphic research chip, and Lava, an open-source software framework for developing neuro-inspired applications. Their introduction signals Intel’s ongoing progress in advancing neuromorphic technology.

October 5, 2021

The Shorts | 10/4/21 | Algorithms and Software in Quantum Computing

The rate at which quantum computing is hitting the media stream is ever-increasing. This piece is a collection of recent articles and reports covering various aspects of quantum computing from the lens of algorithms and software. Mea Cubitt

October 4, 2021

The Goal: Get 10,000 Operations Sans Error Then Fix Errors as They Arise

A research team that includes two UO physicists have outlined new techniques for controlling the building blocks of quantum computing, a potentially significant step toward making such computers more accurate and useful.

September 27, 2021

Goldman Sachs, QC Ware and IonQ Demonstrate Quantum Algorithms Proof-of-Concept That Will Revolutionize Financial Services, Other Industries

Goldman Sachs, QC Ware and IonQ Demonstrate Quantum Algorithms Proof-of-Concept That Will Revolutionize Financial Services, Other Industries Goldman Sachs, QC Ware and IonQ, Inc. (“IonQ”)

September 22, 2021

Decentralizing Europe’s Energy Infrastructure Gets a Quantum Computing Boost

E.ON allies with IBM Quantum to Advance Energy Transition Goals IBM and E.ON aim to drive the transformation of the energy industry with Quantum Computing.

September 10, 2021

Getting the Output Right: Team Takes to Task Achieving Full Advantage of Quantum Computing

Quantum computers are advancing at a rapid pace and are already starting to push the limits of the world’s largest supercomputers. Yet, these devices are extremely sensitive to external influences and thus prone to errors which can change the result of the computation. This is particularly challenging for quantum computations that are beyond the reach of our trusted classical computers, where we can no longer independently verify the results through simulation. “In order to take full advantage of future quantum computers for critical calculations we need a way to ensure the output is correct, even if we cannot perform the calculation in question by other means,” says Chiara Greganti from the University of Vienna.

September 8, 2021