Algorithms

New Cambridge Quantum Algorithm Sets A Benchmark In Performance And Effectively Outperforms Existing Methods

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 […]

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Algorithms | Quantum Finance | Quantum Machine Learning

Quantum Computing In Finance: A quick review

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.

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Algorithms

Honeywell expects its new quantum algorithm to solve real-world problems sooner than previously expected

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.

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Algorithms | General Technology | Machine Learning | Quantum Machine Learning | Quantum Research

Quantum Machine Learning making it to Primetime with new Qiskit release 0.25

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.

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Algorithms

Australian Student’s Quantum Code gets the attention of Amazon

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.

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Algorithms | IBM Quantum Computing | Machine Learning | Quantum Machine Learning

Bold New Version of IBM’s Qiskit Quantum Development Kit released includes Quantum Machine Learning and New Nature Module

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.

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