Financial Trading is evolving with the evolution of technology. Like AI has taken over several sectors, financial trading remains no exception, and Quantum computing integrated with Artificial intelligence is acting as the backbone here. With the introduction of quantum computing, trading is becoming more efficient, but along with the pros come cons. Advanced AI raises potential threats that are important to address, and here, the government’s participation plays a significant role.
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Understanding Quantum AI
An understanding of this complex topic is essential to assimilate the government’s oversight into the matter. So, in the simplest definition, we can understand that Quantum AI is a modified form of AI wherein quantum computing integrates with Artificial intelligence algorithms. Earlier, financial trading was done on classical computers, but technology never settled, and now, quantum AI has replaced the classical way of financial trading.
With quantum computing incorporated into financial trading, modifications in accuracy, speed scalability, and decision-making primarily are worth this incorporation despite the threats it raises in the same domain.
The Basics Of Quantum AI
Quantum AI is more like a final product because the building body of this technology is Quantum computers. Quantum computers operate on the phenomenon of quantum mechanics, and hence, their operations are quite high in level than that of classical ones.
These computers are capable of computing a tremendous amount of data in seconds. Imagine terabytes of data being processed in ten seconds. We don’t need to imagine because it’s already happening in the financial trading sector. Interesting right?
This massive processed data is then handed over to artificial intelligence systems to make final results and determine patterns in the Market signals. This integration of two technologies to produce final results is what Quantum AI is about.Â
The Role Of Quantum Computing In AI Trading
Quantum computing is a bit deeper dive into modern science. But we can break it into simpler words. Quantum Computing leverages the phenomenon of quantum mechanics, including phenomena like Entanglement and Superposition. Both these principles allow a considerable amount of financial data processing, giving traders an enhanced, vivid picture of trading trends. Pattern predictions help traders choose the right time to approach an opportunity and execute a strategy.
From Superposition, we can simply understand the existence of multiple states at one time. In computing, it means the ability of computers to process multiple probabilities simultaneously, saving time while performing accurately. This was not possible to achieve with classical computers.
Entanglement- Suppose we are 3 three people standing at three different spots in a room. Is there any physical contact between three people at the moment? No, but in quantum science, entanglement allows us to find a relation between particles that are even physically separated. The same applies to quantum computers, where they utilize this very principle and find a correlation between multiple particles. This quality of quantum computers allows the processing of huge amounts of data in an interconnected manner.
This ultimately connects varied data to conclude an outcome. Concisely, the role of Quantum computers is like that of a brick in a house.
The Need For Government Oversight In Quantum AI
Undoubtedly, this advanced technology is a boon in financial trading and other sectors, but we can’t be naive to its unforeseen threats. With its massive advantages, quantum AI in trading brings about many potential concerns like vulnerable data, unfair trading practices, cracks in modern cryptography, etc.
This widespread field of trading is not subjected to individuals only but to the government. The participation of the Government can downgrade the potential risks of quantum AI trading before it turns ruthless. We agree with the speed and potential of quantum AI, but to take responsibility for such a powerful technology is as important as its usage.
Quantum AI has garnered enough attention and is being used to its fullest. It has been giving incredible results. Financial trading is widely incorporating its usefulness, but the matter of concern here is if we are using Quantum AI or exploiting it.
Where such a huge amount of data is managed by this technology, it sets the bar high for the government to keep a check on sectors that leverage Quantum AI. Measures like a set of policies, regulatory bodies, and international collaboration are needed to curb the negative impact of Quantum AI in financial trading.Â
Ensuring fair competition, retaining the trust of investors, and keeping data security uncompromised are some of the key concerns to be considered by the government. A balance between introducing advancement and leveraging AI quantum can prove to be an asset for the future of trading.Â
Potential Risks And Challenges In Quantum AI
As we discussed, quantum computers can solve what classical computers cannot, and it is very much possible for quantum computers to overpower things created out of classical concepts. The biggest example of this is cyberattack. Quantum computers can easily break today’s most tight encryption. If encryption can be broken, it is hard to hope for financial records to stay safe. What can make things out can break things out. This is the concept of Quantum AI as well.
The next major challenge in the context of quantum computing( because quantum AI is based on quantum computing) is error correction. Error correction was a pain point in the classical approach as well, but quantum AI makes it almost ‘impossible to tackle’ type. Ts is even hard to detect errors in this type of computing. When errors go undetected or unsolved, how does an unbiased result come? That is a problem AI has to overcome yet.
Then, we also have transparency, which is not there at all. Quantum AI is a complex calculation; we know that. When something is that complex, it is usually very hard to interpret minute details. What is happening behind all those mind-boggling algorithms, we don’t know. We can trust quantum AI with what it offers at the very end. So, the lack of transparency poses a risk to the integration of financial traders.
The Importance Of Regulatory Framework
It is no wonder that the establishment of robust regulatory frameworks is much needed when intense security threats are on the head of financial trading. The importance of such frameworks and the intensity of consequences of quantum AI is already in the eyes of the US government. There have been measures taken already. Examples of these are the National Quantum Initiative Act( NQIA), the corporation of the National Institute of Standards and Technology(NIST), and WASP-HS, a quantum Law project. Â
To mitigate the risk of data leaks, regulatory frameworks have come to great action. All these regulatory projects take hold of Quantum AI on a large scale. Unless government-developed bodies come to action against these threats, it is not possible to control what is already pervasive in a major population. Trading is not a household thing, but its importance stretches to the development of the country’s economy. Hence, such data breaches and cracked encryption may impact the overall functioning of government systems.
Regulatory Frameworks are important to promote integration. Unfairplay in trading harms the integration of investors and traders. Biased results from quantum AI exploitation threaten the credibility of its use. So, a framework imposed by the government would do all that work to ensure the honest existence of investors in the work field.
While a regulatory framework is necessary to mitigate the dark impacts of quantum AI, it is also supposed to foster the same area. These frameworks should not be so strict that they constrain AI development. They should be encouraging quantum AI while keeping the standards fair.
Current Government Policies On Quantum AI
As we also mentioned above, there are policies taken by the US government on quantum AI.
Let’s read about their functioning below-
NQIA-National Quantum Initiative Act
This act works closely with the US government to foster the development of Quantum AI. The bill was signed by the federal government in December 2018. This act aims to accelerate the development of Quantum AI and national security as well.
NIST Approach
The National Security Agency (NSA) understood the potential threats of quantum computing on encyptions hence it approached the National Institute Of Standard and Technology(NIST) to search for solutions, to set algorithms that are quantum resilient, and to take action on the matter.
QED-C Formation
The Quantum Economic Development Consortium (QED-C) was formed back in 2018 in collaboration with the US federal government and NQIA. QED-C aims to identify applications of Quantum AI and gaps in the industry and also to develop relationships between stakeholders, government, and industry specialists.
The Future Of Quantum AI Under Government Oversight
Under the government’s oversight, the world of Quantum AI will be a more reliable choice. A few things to expect in the future of Quantum AI under government oversight are-
Transparency
With government policies, the AI consumer sector would be subjected to disclosing their methods, results, algorithms, etc., making the domain transparent.
Development
As we already learned about the government policies focused on fostering quantum AI, the future will hold more. We can expect quantum AI in more sectors with less vulnerability to cyber threats.
Restricted Over-Exploitation
The excessive use of AI is its Over-exploitation. With the over-exploitation of a source comes unfairity in the field. Policies have been made on to what extent AI-powered atmospheres should be observed, and future government policies should help curb the unfair use of AI.
Conclusions
As bright as the future of Quantum AI is, its misuse is dark. Adaptive and proactive measures are the only ways to get a good hold of this technology. Where the government should participate to ensure the rightful use of AI, people at their levels should also engage in it. With this, we end this write-up and hope to have given you useful information on modern digital space- The Quantum AI.So, there is a concept called AGI( Artificial General Intelligence) after AI. We will see what AGI is and how Quantum AI is the road to new endeavors.
