Quantum Computing: The Top Six Truths And Myths.
March 5th, 2023
Last Updated on March 5th, 2023
This text was fully written by humans.
SUMMARY / KEY TAKEAWAYS
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Quantum mechanics studies matter and energy at the atomic and nuclear levels. The rules of the quantum world are used in quantum computing to execute complicated operations.
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Here, we introduce the basic ideas behind quantum computing while clearing up some myths and facts about this rising technology.
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We also discuss the market applications of quantum computing and careers arising in this arena.
What Is Quantum Computing?
In the last few years, an interest in quantum computing has rapidly increased. It is a unique and fascinating technology that has the potential to transform the way we handle data.
Quantum computing is a brand of software engineering that performs calculations using quantum mechanics concepts. The concept behind quantum computing is to apply quantum mechanics to perform complicated computations much quicker than “normal” computers do.
Here, we introduce the basic ideas behind quantum computing while clearing up some myths and facts about this rising technology. We also discuss the market applications of Quantum Computing and careers arising next to it. For many curious professionals, this is a real starting point for how to break into the tech industry through an emerging specialty.
Quantum computing is built on the foundation that information may be processed via the features of quantum bits (or, qubits). In other words, qubits are the quantum equivalent of classical computing bits. While standard bits can take only one of two values (0 or 1), qubits may take multiple values. As a result, quantum computers can execute multiple operations simultaneously.
The first quantum computer was invented in the early 1998, therefore, quantum computing has a very brief history. However, it was only in the 1990s that quantum computing attracted massive attention, and it has since evolved dramatically.
What Is the Phenomenon of Quantum Computing?
Quantum mechanics studies matter and energy at the atomic and nuclear levels. Building on these principles, quantum computing uses the rules of the quantum world to execute complicated operations.
Additionally, quantum computing depends on traditional computing in numerous areas. One of the primary variations is that common computers process information using binary bits. These bits can only take one of two values: 0 or 1.
Quantum computers, on the other hand, process information using quantum bits or qubits, which can take numerous states at the same time. It enables quantum computers to perform several calculations at the same time.
Another vital difference between quantum and “traditional” computers is how each treats mistakes. Errors in traditional computing might lead to false results. On the contrary, engineers can discover and fix flaws in quantum computing more readily. This gives it a significant advantage over traditional computing.
One important remark is that cloud computing has nothing to do with quantum computing. Cloud computing means nothing else than decentralized transmission of computing services through the Internet. In fact, it has nothing to do with quantum mechanics.
The Ultimate Truths and Myths About Quantum Computing.
1. Quantum Computing Will Replace Traditional Computing.
Myth: The end of conventional computing is imminent due to quantum computing.
According to the National Institute of Standards and Technology (NIST), today’s quantum computers remain rudimentary and error-prone, and NIST envisions them working complementarily with classical computers on specific tasks like drug discovery and complex optimization — not replacing them outright.
Truth: Quantum computing likely won’t completely replace traditional computers.
Recently, rumors of Google’s “Quantum Supremacy” began to circulate online. This prompted several futurists to declare that quantum computers will soon displace traditional computing.
Indeed, it seems logical to assume that new technology makes older machines obsolete. This includes the computing machines of the previous generation. But in practice, as of today, the quantum processor developed by Google, Sycamore, only includes 53 qubits . Consequently, it can only carry out a very small number of tasks. This gap between hype and reality is part of the tech industry skills gap explained by experts who track the field closely.
2. Quantum Computing Is Like Traditional Computing, Just Faster.
Myth: Quantum computing may execute programs that resemble those used by conventional computers.
Truth: Unlike conventional computers, quantum computers cannot execute the same programming commands.
The fundamental cause for this discrepancy in the scope of applications between quantum computing and “traditional computing” is algorithmic. Namely, quantum computing requires a different set of algorithms to run each application.
It would be a dream for scientists and programmers if quantum computers could create applications from the ground up. Unfortunately, quantum computing machines can only serve to resolve computing problems dedicated specifically to quantum computing.
3. Quantum Computing Vs Cybersecurity.
Myth: Quantum computing makes cybersecurity useless.
Truth: In the event of a quantum attack, quantum computing can compromise Internet security.
It is still a myth. The Public Key Cryptography (PKC) algorithms used today resist security assaults from common PCs.
However, researchers warn that the situation might change in the future. It will take a long time before quantum computers can defeat even the most resistant PKC algorithms. Once they do, however, our entire communication and data will be at risk.
Algorithms for quantum cryptography offer enhanced cybersecurity even in a significant quantum assault. However, it is only a theory. By comparison, one use for quantum computing is enhancing cybersecurity using quantum machines. Specializations like this are opening up entirely new career paths in the artificial intelligence industry and adjacent fields.
4. Quantum Consciousness.
Myth: Quantum computers can develop awareness and evolve into a “Quantum Mind.”
Truth: There is no evidence to support the existence of quantum consciousness or mind.
It’s heavily disputed whether or not one of the benefits of quantum computing can be quantum consciousness. The discussion started from comparing human brain to quantum computers.
Scientists know that single molecules interacting at synaptic clefts while transmitting electric signals through the brain undergo quantum laws of physics. It essentially means that the rules of quantum mechanics govern our thinking.
The degree of disparity in complexity between a brain and any machine is huge. However, both humans and, recently, AI have demonstrated design skills. Therefore, even if it were theoretically feasible, it might imply something remarkable. Namely, that a computer could develop awareness, or a mind of its own, and become sentient.
A recent report claimed that Facebook had discontinued its AI robot project. The reason: during the project, two robots spoke to one another in a language humans were unfamiliar with.
While Quantum Mind is one of the popular hypotheses related to quantum computing, we still have a long way to go. Specifically, we have yet to fully comprehend quantum physics and computing. However, science has not grounded any of the theories about the quantum mind.
5. Commercialization of Quantum Computing.
Myth: In 15 years, quantum computing will be commercially available.
Truth: It won’t be easy, even with quantum computing, to completely replace classical computing.
Since quantum computing has been widely acknowledged as a viable type of computing for the past 15 years, little has changed. Namely, quantum computing is still insanely expensive.
Completing calculations quickly requires producing a lot of heat. Quantum computers must be kept in storage at temperatures of -273C (or -460F). This is close to the minimal possible temperature, also known as absolute zero.
As a result, the prices of commercial quantum computers are astronomical. For instance, the real price of D-Wave One machine by D-Wave Systems including 50 qubits is $10 million. D-Wave’s 2000 qubit quantum computer costs $15 million. For every extra qubit in processing power, you need to add $10,000 extra.
As a consequence, at most, data centers will utilize quantum computing for research and advanced computational modeling.
And what about households? Traditional computers continue to be powerful, therefore, the future belongs to hybrid machines. Overall, the only way to raise the profile of quantum computing in the business world is through hybrid devices. These combine stationary traditional computers with quantum computers operating in the cloud.
6. Using Quantum Computing To Simulate Reality.
Myth: Quantum computers could serve to simulate actual events.
Truth: Only some of the possible real-world scenarios can be encoded into quantum computers.
Theoretically, the superposition of the qubits in quantum computers allows them to simulate real-world scenarios. This is especially useful in areas that involve probabilistic events, such as financial, weather, and agriculture models. Therefore, many people are hopeful that quantum computers could simulate the future in general.
According to the reality of quantum computing, a 300-qubit quantum computer can accurately anticipate various financial outcomes. This holds true over the next few years. However, achieving complete prediction of the future of the world does not seem feasible. The world is simply too complex to simulate.
Current Applications of Quantum Computing.
Overall, quantum computing is still a relatively new concept, and its commercial applications remain limited. Still, it has huge potential in many industries. Some of the current applications of quantum computing include:
1. Drug Discovery and Design.
One of the most promising quantum computing areas is drug discovery and design. Quantum computing algorithms can simulate complex molecular interactions essential to drug discovery. By emulating these interactions at a molecular level, quantum computing can help researchers. Specifically, it enables them to discover new drugs faster and more efficiently.
2. Supply Chain Optimization.
Quantum computing can help optimize supply chain management, making it more cost-efficient. In practice, quantum algorithms can help companies make better decisions about where to allocate resources. This is a clear example of business intelligence tools for decision making applied at the level of entire supply chains. They can also help optimize supply chain networks.
3. Financial Modeling.
Financial modeling is yet another area where quantum computing can have major impact. Quantum algorithms can help financial institutions to analyze vast amounts of data, make financial predictions, and simulate complex economic scenarios. It will help in making better investment decisions, reducing risks, and increasing profits.
4. Cryptographic Algorithms.
Meanwhile, engineers are already developing quantum processing power to improve security and protect data. Quantum computing can assist in cracking cryptographic techniques that were previously seen as impenetrable. As a result, it helps secure critical information.
5. Artificial Intelligence.
Quantum computing has the potential to transform the area of Artificial Intelligence by enabling solution of issues that are now too complicated for desktop workstations. It might lead to advancements in the development of AI and machine learning.
Despite these potential benefits, present quantum computing applications have certain drawbacks. For example, quantum computing is still in its early stage, and it needs additional commercial applications. Moreover, quantum computing needs specialized hardware, which is still extremely expensive and requires technical skills.
Jobs in the Quantum Computing Arena.
Quantum computing is a rising sector with a strong demand for employees who present the necessary skills and experience. This surge lines up with broader tech industry hiring trends for 2027 across emerging computing fields. Some of the most popular positions in quantum computing are as follows:
1. Engineer in the Quantum Computing Space.
Quantum computing engineers are responsible for developing, constructing, and operating quantum computer machines. They collaborate with hardware and software developers to create and test new quantum programs and technologies.
According to Glassdoor, a Quantum Computing Engineer earns an average of $126,058.
2. Data Scientist in the Quantum Computing Space.
Data Scientists in quantum computing are in charge of analyzing and evaluating data generated by quantum computing devices. Specifically, they collaborate with software engineers and quantum computing experts to create new algorithms and tools. These are used for processing and analyzing data generated by quantum computing systems.
According to zipRecruiter, a Quantum Computing Data Scientist earns an average of $122,057.
3. Consultant in the Quantum Computing Space.
Consultants in quantum computing assist organizations in understanding the potential benefits of quantum computing. They also advise on how this new technology might apply to their creative demands. Ultimately, they advise and help businesses on the best ways to adopt quantum computing into their operations. In turn, this helps them make the most of this technology. Roles like this are worth researching closely as part of any tech industry job search strategies focused on frontier technology.
According to Zippia, a Quantum Computing Consultant earns an average of $82,599.
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