The goal of technological advancement is to produce more with fewer resources. Even if technology has progressed from a room-sized computer to a cell phone, there are still many challenges that the world’s powerful computers can help with. We’ll soon need to accomplish our computing in a whole different method when smaller, more potent computers become necessary. Quantum theory, a subfield of Physics, studies the universe of atoms and the smaller (subatomic) particles that reside inside of them. But the laws of classical physics don’t apply in that little universe of atoms. “I think I can safely say that nobody understands quantum mechanics,” said Richard Feynman. Therefore, the most popular but also most challenging field nowadays is quantum computing.

Today’s computers are made of silicon transistors and use bits of computation. These bits take either of the two values 0 or 1. Instead of bits, a quantum computer has qubits. Qubits can exist in a multidimensional state. Qubits use superpositions to represent multiple states. As a result, a quantum computer can perform multiple operations in parallel, which makes it significantly faster than a traditional computer.

Quantum Computing Advantages

Although designing, building, and programming a quantum computer can be challenging, there are certain advantages as well when compared with the supercomputer. So, what can it be used for?

• Molecular Modelling: Quantum computing uses a variety of computerized techniques to predict the chemical and biological properties of molecules using theoretical chemistry methodologies and experimental data. These techniques are utilized in computational chemistry, drug design, computational biology, and materials science.
• Database Searching: Quantum computers are used to store and search through massive amounts of data in a much quicker time than traditional computers.
• Data Security: In the future, quantum computing may play a significant role in network and cyber security.
• Weather Forecast: Quantum computing will assist in improving local and global weather forecasting for more advanced and precise warnings of extreme weather occurrences, potentially saving lives and lowering annual property damage.

Quantum Computing: Metamorphosis in Drug Discovery

The drug development process is complicated, costly, and time-consuming, with several stages and regulatory approval. To identify and validate drugs, research must adhere to the strictest safety and quality standards. While technology has advanced at a breakneck pace, the discovery and design of novel therapies is an increasingly difficult endeavor. But identifying previously unknown molecules and drugs has become more difficult, and every avenue that could speed up or improve the process must be explored. Quantum computers could outperform any supercomputer and it is emerging as the next frontier in pharmaceutical research.

Quantum computers use qubits, which can either be on or off, or both – known as the super-position. This superposition enables quantum computers to execute multiple calculations simultaneously, far more effectively than conventional technology. In the drug discovery process, quantum computing ensures accurate data projections while taking into account a wide range of biological parameters at the same time.

According to the experts in drug development, quantum computational tools may add value for designing and developing antibodies, by creating a novel antibody structure. Integrating the quantum algorithms with the classical tools available today may happen naturally while building the expertise and strategizing to solve the problem. By taking the advantage of various algorithms, hybrid algorithms, and approaches the best quantum tool can be decided to best suit the purpose.

There are numerous potential quantum applications on the horizon. It is expected to play a significant role in drug discovery, speeding up processes for testing and synthesizing chemicals for use in medicine, among other applications. Revolution in the bio-medical imaging sector can transform the detection and diagnosis in the advancement of new drug development.

Biogen, an American biotechnology firm, is testing quantum to help with the treatment of neurological diseases. To accelerate drug discovery, quantum-enabled optimization, sampling, and machine learning algorithms can be used, a report from The Quantum Insider. Boehringer Ingelheim, a Google Quantum AI partner for the past three years, is another pharmaceutical company pioneering quantum computing to accelerate and optimize the healthcare services and solutions. Their goal is to develop innovative and cutting-edge new medicines in the future.

Harnessing the power of quantum mechanics is a difficult and delicate task, and there are still many obstacles to overcome. Qubits are delicate and to maintain them in superposition and entanglement, a secure environment is required. If the qubits are not maintained in extreme conditions, then the entire quantum operation is futile. With growing interest and innovations, new applications and products will inevitably emerge. The quantum upheaval could introduce a period of new explorations that surpasses existing perspectives. It’s evident that quantum computing has the possibility to change the way medicine is discovered.

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Quantum computing has a variety of applications in revolutionizing the automobile industry such as improving battery performance, avoiding traffic congestions, preventing car accidents and mishaps by machine learning and analysis etc. that can greatly benefit the sector when they come to fruition. Machines in quantum computing work with physical properties of matter, such as superposition or entanglement, which means that calculations can be performed on multiple states of matter at the same time, drastically reducing computation time.

Advantage of Quantum Computing The brainchild of Nobel laureate Dr Richard Feynman, quantum computing has progressed to enormous levels of growth, finding a variety of applications in different fields and sectors. Quantum computing involves simulation of the physical nature of objects at subatomic sizes while allowing them to exist in more than one state. This allows rapid simulation and processing of data than conventional systems, making quantum computers much more powerful, efficient, and faster. It has been applied in fields like Cryptography, Medicine, and material sciences to accommodate multiple variables or molecules in simulations to reach the desired end product or solution. Various automobile companies like BMW (CNET) and Hyundai (Eetasia) have started working with quantum computing systems to solve various issues like cost optimization, development of new batteries, optimization of components to improve cost-effectiveness etc.

Quantum Computing in Battery Technology

Quantum computing has been applied to develop effective solutions in improving the battery technology in cars and automobile systems as it can simulate multiple molecules of compounds simultaneously in different states, conditions, and environments to help identify the ideal combination of variables. Hyundai Motor Co. has partnered up with quantum computing experts to develop a robust battery that can function with improved capabilities and durability when used in electric vehicles. They aim at reducing the cost of battery development and production to reduce the overall cost of the vehicles, improve affordability and progress towards sustainability. A quantum computer of sufficient complexity—for example, enough quantum bits or “qubits”—could theoretically achieve a quantum advantage, allowing it to solve problems that no classical computer could ever solve. In theory, a quantum computer with 300 qubits fully dedicated to computation could perform more calculations in an instant than the visible universe’s atoms Quantum computing has also been applied in the development of novel technologies that can improvise the functioning of EV batteries by incorporating advanced technologies to cool them. It is applied by compartmentalizing big issues into individual parameters that are simulated using quantum computing to be later integrated into the conventional systems as a hybrid model or to fashion a completely new model by combining the solutions offered by quantum computing(EENewsEurope).

Quantum Computing in Autonomous Driving Quantum computing can facilitate the design and development of powerful operating systems to produce self-driving cars, simplifying transportation and reducing the chances of human errors in road traffic accidents. Artificial intelligence and machine learning require the real-time analysis of vast amounts of data to produce optimal responses to changing environmental conditions and quantum computing with its excellent computational features

can lend a hand in facilitating the requirements. Volkswagen(Prescouter) has experimented in the design and development of computational systems to optimize traffic control and regulation in the city of Beijing and has found great success in this venture. It also has applications in improving vehicle to vehicle and vehicle to cloud communications in next-generation cars that are expected to have the ability to communicate with cloud computing systems to regulate driving data. This will help in traffic and fuel optimization in cloud-connected cars while providing a safe environment for decentralized communication between them.

Conclusion

Quantum computing has unlimited potential and practical applications across different fields and sectors and can make a path for enormous progress in the automobile sector. Companies and enterprises in the automobile sectors would greatly benefit by working with quantum computing as it is a leap towards greater sales and a greener environment. Recently, quantum computing has gained a lot of traction in both general society and the private sector. Companies have been pouring huge sums of money into quantum computing research, with the last few years being the busiest for this innovation.

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