What Is Quantum Computing AI, and Should You Incorporate It into Your Business?

Healthcare – Drug Discovery and Development

Pharmaceutical companies invest millions into the research and development of new and existing drugs. Traditionally, this process has been carried out with digital tools, such as density functional theory (DFT) and molecular dynamics (MD). However, in recent years, artificial intelligence and quantum computing have been at the forefront of pharmaceutical R&D.

By using quantum AI to identify disease and illness-curing molecules, researchers can predict how different molecular structures behave under different interactions. They can then discover new drugs and evaluate their efficacy.

Quantum computers can predict the behavior of drug molecules much faster than classical computers, which are limited by their reduced computing power and linear approach to problem-solving.

Finance – Financial Forecasting

Quantum AI has the potential to help finance companies perform financial forecasting faster and more accurately than classical computers.

In a study published by Cornell University, researchers explored the impact of quantum algorithms on machine learning for businesses across various applications. The study found that classical and quantum Determinantal Point Processes – a probability distribution used to model global negative correlations – improved the precision of churn predictions by 6%.

Elsewhere, quantum AI is redefining financial analysis, enabling the analysis of financial datasets with greater speed and precision. Quantic algorithms, such as the Quantum Approximate Optimization Algorithm (QAOA), can assess multiple factors simultaneously – economic factors, market trends – to identify new investment opportunities and maximize returns on existing investments.

Climate Research – Climate Modeling

Understanding how the Earth’s climate works is vital to identifying and mitigating the effects of climate change.

However, classical computers’ limitations make it hard to solve our biggest climate challenges. Traditional predictive models extrapolate data from past climate events to predict future outcomes. As a result, these predictions become approximations, which are prone to inaccurate forecasts.

Using quantum AI to simulate complex systems in climate models, researchers can simulate large-scale climate models faster and more accurately than classical computers.

This is further aided by AI’s pattern recognition capabilities, which allow researchers to analyze large climate datasets. From there, they can not only predict potential climate outcomes but also evaluate the interactions driving these environmental changes.

Quantum Hardware Requirements

Quantum computing hardware is complicated to manufacture, making it expensive to purchase and maintain. So, only large corporations, government bodies, and research institutions have the resources to procure this type of hardware.

They also have the means to run quantum processors at the correct temperature, which can be as low as -200°C. Meeting these requirements involves investing in significant upfront and ongoing costs, including rent, utilities, and climate control.

However, scientists have recently built the smallest quantum computer in the world, which can work at room temperature and fit on a desk.

Scalability Issues

Upscaling a quantum computing system is a complicated process, as quantum control systems must scale linearly with the quantum processor’s size. Also, upscaling a quantum computer requires setting up hundreds or even thousands of qubits, which increases the risk of error rates and incoherence.

Some organizations or government bodies may want to run classical and quantum computing systems simultaneously. This hybrid setup can introduce compatibility issues with different data types.

Reworking ML and AI Algorithms

The latest ML and AI algorithms for quantum computing represent a range of new possibilities. They can potentially advance fields like search optimization, cryptography, and simulating quantum systems.

However, converting classical computing algorithms into quantum computing AI algorithms can be a challenge. Developers must use specific programming languages and frameworks to create quantum algorithms. Plus, many of these programming languages and frameworks are still in early development, so we are still a few years away from realizing their full potential.

Companies like Orient Software can help bring your quantum computing project to life. We can help update your outdated classical computing system by performing database and cloud migrations, infrastructure modernization, and application re-engineering.

Seek Third-Party Help

Enlist the help of a reputable software development and quantum computing company. They can help you with services like quantum computing app development. At Orient Software, we can assist with developing quantum apps for various industries, such as cybersecurity, healthcare, and finance.

Identify the Problems That You Want Quantum AI to Solve

When approaching the idea of using quantum AI, think about the kind of problems you want it to solve. Do you want to boost productivity and efficiency, improve customer satisfaction, or get a competitive edge? Answering these questions may help you choose the right quantum AI solution for you.

Your technology partner can help you identify the problems you currently face. They can then determine which quantum AI solutions will help you resolve those issues. At Orient Software, we take the time to get to know your business, goals, and technological requirements fully. This ensures that your project brief aligns with your short- and long-term goals.

Keep Up with the Latest Quantum AI Trends

Quantum AI is still a new and fast-emerging technological trend, so it’s a good idea to stay up-to-date with the latest developments.

As the merging of AI and quantum computing continues to evolve, more companies will want to incorporate quantum AI into their processes. Failure to do so could cause you to fall behind the competition, threatening your position as an industry authority.

Companies like Orient Software are current with the latest quantum AI trends. Our tech team is informed on the latest developments, including advancements in hybrid systems and error correction techniques. This knowledge enables us to develop quantum computing solutions that are resilient in the face of the ever-changing digital landscape.