Honeywell recently has demonstrated that their new holographic quantum dynamics (holoQUADS) algorithm has accurately simulated a quantum dynamics model, this simulation was completed with fewer qubits than the traditional methods. This new algorithm had used nine qubits in order to simulate 32 spins – or localized electrons. For comparison, the traditional methods required one qubit per spin.
A few days ago, IBM was pleased to announce to the public that their team has achieved speedup up to 120x in simulating molecules, all of this was thanks to several improvements, one of them was the ability to run quantum programs with Qiskit Runtime, entirely on the cloud.
To process classical data we often rely on RAM (Random Access Memory), simply providing an address yields at contents of that address, making for rapid access of data. In this study the team from Yale and Chicago show that bucket-brigade QRAM architecture possesses a remarkable resilience to noise.
We covered the recent release of Qiskit 0.25 which is one of the most popular Quantum toolsets and languages. Supported by IBM, the framework has an established following, and therefore when there are major changes to the framework, you could say the zeitgeist changes. That major change amongst a few others is the inclusion of a dedicated Quantum Machine Learning Module.
Quantum Computers are noisy. Researchers have been exploring way to reduce the errors that existing Quantum computers inherently have. So called NISQ era devices are Noisy Intermediate-Scale Quantum require error correction in order to function, which is an intense field of research. So when a Sydney based student published a new scheme for error correction that can offer a large advantage over existing schemes, it attracted the interest of industry and academia.
One of the most popular Quantum languages and toolsets, Qiskit, now gets a new upgrade to version 025 which includes some new modules such as Nature. The already popular package Aqua gets a replacement which is aimed, not just at Chemistry but Physics too. There are also enhancements to Quantum Machine Learning (QML) which see Qiskit releasing a Machine Learning Module. QML has been perhaps one of the biggest areas of interest from Quantum Computing in application to a number of fields, so no surprise that the Qiskit toolset now sports QML capability. In total there are now four additional modules: Qiskit Nature (which will replace Aqua), Finance, Optimization and Machine Learning.
The German automative giant is exploring quantum computing to improve its operations. Most famous for its premium vehicles the Bavarian based motor manufacturer makes some of the most desirable machines. Now it is collaborating with the US giant and maker of Quantum Computers: Honeywell.
As we see record highs and interest in the cryptocurrency marketplace, could now be a time to consider whether investing in the any of the crypto currencies is effectively safe – especially in shadow of possible attacks from Quantum Computing?
It is good to hear alternatives and from all sides of the Quantum debate and for that reason we introduce you to Prof. Gil Kalai. Gil has been one of the most vocal in sounding his objections against large scale Quantum Computers or HQCA (“Huge Quantum Computational Advantage”) , akin to quantum supremacy or quantum advantage. Gil has attracted comments from luminaries of the field such as Scott Aaronson. His latest post on this this (argument against quantum computing) has been published on his blog.
Trimble, a company involved in transportation among many other fields, has recently collaborated with Microsoft to use Azure Quantum to solve the most complicated freight optimisation problems.