Cambridge Quantum (CQ) and Honeywell have announced that they have reached three technical milestones. These milestones are proof that quantum technology at large is a viable option and the optimization of these quantum solutions can come sooner than anyone previously expected.
The scientists at Cambridge Quantum(CQ) have successfully developed a new algorithm that will solve combinational optimization problems. This new algorithm will aid many industries and businesses such as dispatching units, job shop scheduling. All this by using near-term quantum computers. The world is full of mathematical problems that require solving, and some of these real-world […]
Just about every person is associated with the financial industry in their lifetime. Finance originated during the start of our civilization and since then it has been a substantial part of our lives. Finance deals with uncertainty and risks as the actual behaviour of the asset or security may differ from the expected return. To lower the risk we must analyze all the factors associated with it. This involves a calculation of infinite possibilities of different combinations of factors which gives minimum risk and maximum profit. These problems in finance can be expressed as optimization problems. These are the tasks that are particularly hard for classical computers as they may take millions of years.
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.