Quantum computers are highly advanced computing devices that leverage the principles of quantum mechanics to perform complex computations at speeds far surpassing classical computers. These revolutionary machines harness the power of quantum bits, or qubits, which can exist in multiple states simultaneously, unlocking the potential for solving problems currently beyond the reach of classical computing.

### What is Quantum Computing? | IBM

Quantum computing is an innovative field that explores the potential of quantum mechanics to process and store information. Unlike classical computers that use bits for computation, quantum computers employ qubits (CUE-bits), which are capable of existing in multiple states simultaneously. These quantum machines, such as IBM’s Quantum processors, are remarkably compact, consuming less energy and occupying a size comparable to a laptop’s wafer.

To operate effectively, quantum processors necessitate extremely low temperatures. Achieving this involves utilizing super-cooled superfluids that facilitate superconductivity. At temperatures just above absolute zero, certain materials in the processor exhibit an intriguing quantum effect where electrons can traverse through them without any resistance, becoming superconductors. Moreover, as electrons pass through superconductors, they form Cooper pairs and can conduct a charge through insulators via quantum tunneling. A Josephson junction is formed when two superconductors are separated by an insulator.

Control is a crucial aspect of quantum computing, and Josephson junctions are employed as superconducting qubits in IBM’s quantum computers. These qubits can be manipulated by directing microwave photons towards them, enabling control over their behavior, alteration of their states, and reading out individual units of quantum information.

While a single qubit holds limited utility, it possesses a remarkable capability called superposition. By placing a qubit into a state of superposition, it can simultaneously represent all possible configurations of information it holds. When multiple qubits are in superposition, they create complex and multidimensional computational spaces. This allows for the representation of complex problems in novel ways, opening avenues for more efficient solutions.

Entanglement is a remarkable phenomenon within quantum mechanics that enables the correlation of two separate entities. When two qubits become entangled, any changes made to one qubit directly impact the other, regardless of their physical separation. Quantum algorithms capitalize on entanglement to find solutions to intricate problems by leveraging the interconnectedness between qubits.

In summary, quantum computing explores the use of qubits, leveraging their properties such as superposition and entanglement to process and store information. IBM’s Quantum processors utilize superconducting qubits based on Josephson junctions, which can be controlled using microwave photons. Quantum computers have the potential to revolutionize computation by enabling novel approaches to solving complex problems.

Source: https://www.ibm.com/topics/quantum-computing

### What is Quantum Computing? – Quantum Computing Explained – AWS

Quantum computing is a field that aims to develop computers capable of processing information using the principles of quantum mechanics. Unlike classical computers, which use bits to represent and process data, quantum computers use qubits. These qubits are quantum systems that can exist in multiple states simultaneously, thanks to a property known as superposition.

Various companies and research groups are exploring different types of qubits to build fault-tolerant quantum computers. One example is gate-based ion trap processors. These quantum computers use trapped ions, which are charged atoms, to implement qubits. The ions are confined and suspended above a microfabricated trap using electromagnetic fields. Quantum gates, which are analogous to gate operations in traditional electronics, are applied to the ions using lasers.

Gate-based superconducting processors are another type of quantum computer. Superconductivity, observed in certain materials at very low temperatures, allows for the creation of superconducting qubits. These qubits are built with superconducting electric circuits that operate at cryogenic temperatures. The characteristic of superconducting materials that allows electric currents to flow indefinitely with no resistance is utilized in these processors.

Quantum photonic processors manipulate light for computations. Photonic quantum computers use quantum light sources that emit squeezed-light pulses. The qubits in these processors correspond to different modes of a continuous operator, such as position or momentum. The manipulation of light in these devices enables quantum computations.

Neutral atom processors are similar to trapped ion technology but use light instead of electromagnetic forces to trap and hold the qubits in position. Unlike trapped ions, neutral atoms are not charged. This type of quantum computer operates at room temperatures, which simplifies the cooling requirements compared to other technologies.

Rydberg atom processors utilize Rydberg atoms, which are excited atoms with electrons further away from the nucleus. These atoms exhibit unique properties, such as a strong response to electric and magnetic fields and long lifetimes. By harnessing these properties, Rydberg atoms can be used as qubits with controllable atomic interactions. Different states of the Rydberg atoms can be selected to tune their behavior.

Quantum annealers employ a physical process to place a quantum system’s qubits in an energy minimum. The system’s configuration is then altered gradually to reflect the problem that needs to be solved. Quantum annealers have an advantage in that they can accommodate a larger number of qubits compared to gate-based systems. However, their application is limited to specific cases.

In summary, quantum computing explores different types of qubits and their implementations to build powerful computers that leverage the principles of quantum mechanics. Gate-based ion trap processors, gate-based superconducting processors, photonic processors, neutral atom processors, Rydberg atom processors, and quantum annealers are all examples of approaches being investigated to realize the potential of quantum computing.

Source: https://aws.amazon.com/what-is/quantum-computing/

### What is quantum computing?

Quantum computing is a revolutionary approach to computing that utilizes the principles of quantum physics to solve complex problems that classical computers cannot handle. While classical computers use bits to store information as zeros and ones, quantum computers use quantum bits, or qubits, which can represent both zero and one simultaneously in a superposition.

The key advantage of quantum computers lies in their ability to explore a massive number of paths simultaneously due to their larger working space. This makes them highly efficient in solving complex problems compared to classical computers. In 2019, Google made a significant breakthrough when its quantum computer solved a problem in 200 seconds that would have taken a classical computer 10,000 years. Although this achievement was more theoretical than practical, it marked a significant milestone in the advancement of quantum computing.

Quantum computers differ from classical computers in that they don’t deliver one clear answer but instead provide a range of possible answers. While classical computers are suitable for limited scope calculations, quantum computers excel in tackling complex problems by narrowing down the range of possible solutions.

The development of quantum computers is expected to progress gradually, with major players and start-ups gradually increasing the number of qubits their computers can handle. However, it is unlikely that quantum computers capable of solving major problems will be readily available for purchase by the general public. These machines will be expensive, complex, and operated by a few key players. In the meantime, businesses can access quantum services via the cloud from existing providers.

Several obstacles impede the development of quantum computing. The fragile nature of qubits makes it challenging to maintain accuracy when their status changes, potentially leading to altered or lost inputs. Additionally, achieving the scale required for significant breakthroughs will require the connection of potentially millions of qubits, a level that current quantum computers have not reached.

Classical and quantum computers can currently work together, with quantum computing supporting classical computing in solving multivariable problems. For example, quantum computers can narrow down the range of possible solutions in finance or logistics problems, helping companies arrive at optimal solutions faster.

Quantum computing has the potential to revolutionize various industries. Experts believe that quantum computers will eventually have the computational power to model complex molecules in the human body, opening up possibilities for advancements in healthcare and pharmaceutical research.

Four industries, including healthcare, finance, materials, and chemicals, are predicted to benefit the most from quantum computing in the short term, with an estimated value at stake of $1.3 trillion. However, leaders in every sector should prepare for the future advancements of quantum computing.

Apart from quantum computing, other quantum technologies such as quantum communication (QComms) and quantum sensing (QS) show promise. Quantum communication can enhance data security through strong encryption protocols, while quantum sensing enables more accurate measurements of physical properties. Although the markets for QComms and QS are currently smaller than that of quantum computing, they are expected to attract significant interest and funding in the future.

The demand for quantum computing talent exceeds the current supply, posing a talent gap that could hinder potential value creation. McKinsey estimates that the talent gap in quantum computing could amount to $1.3 trillion in lost value. To address this, organizations can apply lessons from the AI talent journey to build the quantum talent they need.

Source: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-quantum-computing

### Explainer: What is a quantum computer?

A quantum computer is a powerful machine that utilizes the principles of quantum mechanics to achieve remarkable processing capabilities. While conventional computers will still remain the preferred choice for most tasks due to their ease of use and cost-effectiveness, quantum computers have the potential to revolutionize various fields such as materials science and pharmaceutical research. Companies are already exploring their applications in developing advanced batteries for electric cars and creating innovative drugs.

The power of a quantum computer lies in its ability to generate and manipulate quantum bits, or qubits. Unlike classical computers that use bits to represent information as 1s or 0s, quantum computers employ qubits, which are typically subatomic particles like electrons or photons. Generating and managing qubits is a significant scientific and engineering challenge. Different approaches are employed by companies like IBM, Google, Rigetti Computing, and IonQ, including superconducting circuits and trapping individual atoms in electromagnetic fields. The goal is to isolate the qubits in a controlled quantum state.

Qubits possess unique quantum properties that enable a group of them to offer significantly more processing power compared to an equivalent number of classical bits. Two notable properties are superposition and entanglement. Superposition allows qubits to exist in multiple states simultaneously, thanks to precision lasers or microwave beams. As a result, a quantum computer with multiple qubits in superposition can simultaneously process a vast number of potential outcomes. The final result only emerges upon measurement, causing the qubits to collapse to either 1 or 0.

Entanglement is another intriguing property where pairs of qubits can exist in a single quantum state. Altering the state of one qubit instantaneously affects the state of the other, even when they are separated by long distances. Although the mechanism behind entanglement remains mysterious, it plays a crucial role in the power of quantum computers. While doubling the number of classical bits in a conventional computer doubles its processing power, adding extra qubits to a quantum machine exponentially increases its computational capacity.

However, quantum computers face a major challenge called decoherence. Decoherence occurs when qubits interact with their environment, leading to the decay of their quantum behavior. The quantum state of qubits is fragile and can be disrupted by even the slightest noise or disturbance from factors like vibration or temperature changes. Researchers endeavor to shield qubits from the outside world using supercooled fridges and vacuum chambers. Nonetheless, errors caused by noise still pervade calculations. Error correction techniques and increasing the number of qubits can mitigate this issue, but it will likely take thousands of standard qubits to create a highly reliable logical qubit.

At present, researchers have not managed to generate more than 128 standard qubits, indicating that practical, broadly useful quantum computers are still years away. Nonetheless, researchers aim to achieve quantum supremacy, where a quantum computer can perform a mathematical calculation beyond the reach of even the most powerful supercomputers. The exact number of qubits needed for this milestone remains uncertain due to advancements in classical algorithms and supercomputing hardware. Researchers and companies are actively striving to claim this title by pitting their quantum machines against formidable supercomputers.

Despite the ongoing debate surrounding quantum supremacy, companies like IBM, Rigetti, D-Wave, and Alibaba are already experimenting with quantum computers. Some businesses are purchasing quantum computers, while others are accessing them through various platforms. The initial applications of quantum computers are expected to be in fields such as simulating molecular structures for battery improvement in the automotive industry and analyzing compounds for drug discovery in the pharmaceutical sector. They are also well-suited for optimization problems, aiding in tasks like fuel-efficient flight paths and minimizing traffic congestion.

While quantum computers are still in the early stages of development, their potential impact on various industries and global innovation is immense. However, universities and businesses working on quantum computing face challenges, including limited resources and the availability of critical components. If these exotic computing machines fulfill their promises, they have the capacity to transform entire industries and propel innovation worldwide.

Source: https://www.technologyreview.com/2019/01/29/66141/what-is-quantum-computing/

### Quantum Computing: Definition, How It’s Used, and Example

Quantum computing is an area of computer science that harnesses the principles of quantum theory to perform calculations. It utilizes subatomic particles, such as electrons or photons, known as qubits, which can exist in multiple states simultaneously. This ability to be in multiple states allows quantum computers to process information in a way that surpasses the limitations of classical computers.

The emergence of quantum computing dates back to the 1980s when researchers discovered that certain computational problems could be more efficiently solved using quantum algorithms. Quantum computers have the potential to analyze a vast number of possibilities and provide solutions to complex problems. Unlike classical computers, which use bits to store information as either 0 or 1, quantum computers employ qubits that can represent information in a multidimensional quantum state.

The potential applications of quantum computing have attracted the attention of major companies such as IBM, Microsoft, Google, and many others. Industries that could benefit from quantum computing include security, military affairs and intelligence, drug design and discovery, aerospace designing, utilities like nuclear fusion, polymer design, artificial intelligence, search algorithms, and digital manufacturing.

Quantum computing is based on two fundamental features of quantum physics: superposition and entanglement. Superposition refers to the ability of a qubit to exist in a combination of all possible configurations simultaneously, creating complex computational spaces. Entanglement allows pairs of qubits to become linked, resulting in a predictable relationship where changes to one qubit affect the other. Quantum algorithms take advantage of this entanglement to solve complex problems, and as more qubits are added, the computing power of a quantum computer grows exponentially.

However, quantum computing faces limitations. Quantum computers require specific conditions, such as extremely low temperatures and protection from external disturbances, to maintain the delicate quantum state of the qubits. Additionally, the information stored in qubits can be easily damaged, making it challenging to recover data. Despite these limitations, quantum computing shows great promise for advancements in various industries.

Quantum computers differ from classical computers in terms of their structure and processing methods. While classical computers have processors and memory, quantum computers rely on superconducting qubits for computation. Quantum computers operate using multidimensional quantum algorithms, which exponentially increase processing power with each added qubit. Classical computers, on the other hand, use bits to run programs and have much lower computing power compared to quantum computers.

The development of quantum computers is underway by companies like Google, IBM, and Microsoft. Google plans to build its quantum computer by 2029, while IBM aims to have a 1,000-qubit quantum computer by 2023. Microsoft offers access to quantum technology through its Azure Quantum platform. Other companies, including JPMorgan Chase and Visa, are also showing interest in quantum computing and its applications.

Building a quantum computer is a time-consuming and expensive process. Google has already invested billions of dollars in its quantum computer project, and IBM’s efforts are also substantial. However, a Chinese company, Shenzhen SpinQ Technology, plans to make quantum computers more accessible by selling a desktop quantum computer for $5,000.

In terms of speed, quantum computers outperform classical computers and supercomputers significantly. For example, Google’s quantum computer, Sycamore, completed a calculation in 200 seconds, while IBM’s Summit, one of the world’s fastest supercomputers, would take around 10,000 years to solve the same problem. IBM disputed Google’s claim, stating that its supercomputer could solve the calculation in 2.5 days, still significantly slower than Google’s quantum machine.

In conclusion, quantum computing utilizes the principles of quantum theory to perform calculations using qubits that can exist in multiple states simultaneously. It offers greater computational power and the ability to solve complex problems efficiently. Although there are limitations and challenges in building quantum computers, major companies are investing in their development. Quantum computing has the potential to revolutionize various industries and tackle intricate tasks that classical computers cannot handle effectively.

Source: https://www.investopedia.com/terms/q/quantum-computing.asp

### What is Quantum Computing | Microsoft Azure

Introduction to Quantum Computing

To understand quantum computing, it’s important to define some key terms. The term quantum in quantum computing refers to the principles of quantum mechanics that the system utilizes for calculations. In physics, a quantum represents the smallest possible discrete unit of any physical property, typically associated with atomic or subatomic particles like electrons, neutrinos, and photons.

A fundamental concept in quantum computing is the qubit, which serves as the basic unit of information. Qubits function differently from classical computing bits. While classical bits are binary and can hold only a 0 or 1, qubits can exist in a superposition of all possible states. This property allows quantum computers to perform calculations in parallel, potentially providing exponential speedup over classical computers for certain problems.

Quantum computing harnesses the unique behavior of quantum physics, including concepts like superposition, entanglement, and quantum interference, to drive computational processes. These concepts introduce new elements to traditional programming methods.

Superposition refers to the phenomenon where quantum particles exist in a combination of all possible states until they are observed or measured. To illustrate the difference between binary positions and superposition, one can imagine a coin. Classical bits are like flipping a coin and obtaining heads or tails. In contrast, if the coin could simultaneously display both heads and tails, along with all intermediate states, it would be in a state of superposition.

Entanglement is another crucial aspect of quantum computing. It describes the ability of quantum particles to correlate their measurement results with one another. When qubits are entangled, they form a single system and influence each other. The measurements from one qubit can provide insights into the others. By adding more entangled qubits, quantum computers can process exponentially more information and tackle increasingly complex problems.

Quantum interference is an intrinsic behavior of qubits, influenced by superposition, that affects the probability of a collapse into a particular state. To ensure accurate results, quantum computers are designed to minimize interference. Microsoft employs topological qubits, which are stabilized through structural manipulation and the use of protective chemical compounds to shield them from external interference.

Functioning of Quantum Computing

A quantum computer comprises three primary components:

1. Qubit storage: For certain qubit storage methods, the units housing the qubits are maintained at temperatures slightly above absolute zero. This strategy maximizes coherence and minimizes interference. Alternatively, vacuum chambers can be employed to minimize vibrations and stabilize the qubits.

2. Signal transmission: Signals are sent to the qubits using various techniques, including microwaves, lasers, and voltage.

3. Quantum operations: Quantum operations manipulate the qubits to perform computations. These operations leverage the principles of quantum mechanics, such as superposition and entanglement, to execute complex calculations efficiently.

Applications of Quantum Computing

While quantum computers may not outperform classical computers in every domain, they possess tremendous potential in specific areas:

1. Quantum simulation: Quantum computers excel at modeling other quantum systems due to their ability to leverage quantum phenomena. These systems include photosynthesis, superconductivity, and complex molecular formations, which classical computers struggle to handle due to their complexity and ambiguity.

2. Cryptography: Traditional cryptographic algorithms, such as RSA, rely on problems that are challenging for classical computers to solve, like integer factorization or discrete logarithms. Quantum computers have the potential to solve these problems more efficiently, which may impact the field of cryptography.

3. Optimization: Optimization involves finding the best solution for a problem given specific constraints and desired outcomes. Quantum-inspired optimization algorithms running on classical computers can provide previously unattainable solutions. This capability has applications in managing complex systems, such as traffic flows, airplane gate assignments, package deliveries, and energy storage.

4. Quantum machine learning: Classical machine learning models often require extensive computational resources for training, limiting their scope and development. Quantum computing offers the possibility of faster machine learning by exploring ways to devise and implement quantum software.

5. Search: In 1996, a quantum algorithm was developed that significantly accelerated unstructured data searches. It achieved this outcome with fewer steps than any classical algorithm.

Azure Quantum Resources

To explore quantum computing, Microsoft provides Azure Quantum resources. Users can begin building with Azure, taking advantage of the free trial period of up to 30 days or opting for pay-as-you-go pricing. Azure allows users to engage without any upfront commitment, providing the flexibility to cancel at any time.

By utilizing Azure Quantum resources, individuals can delve into the world of quantum computing and leverage its potential for solving complex problems in various domains.

Source: https://azure.microsoft.com/en-us/resources/cloud-computing-dictionary/what-is-quantum-computing/

### Quantum computers: what are they good for?

Quantum computers have been hailed as the next revolution in computing, but the reality is that current quantum computers are still far from being useful. Despite this, researchers remain optimistic about the progress being made in the field. Winfried Hensinger, a physicist at the University of Sussex, has published a proof of principle for a large-scale quantum computer and is working on building it with his start-up company, Universal Quantum. The potential applications of quantum computers are vast, ranging from accelerating drug discovery to addressing climate change.

However, there has been justified skepticism about quantum computing due to the challenges involved in building the hardware and the lack of practical demonstrations of its usefulness. Quantum computers store information in qubits, which can be made using various technologies. The challenge lies in maintaining the delicate quantum states of these qubits, which are prone to errors caused by external factors. Useful computations require a large number of qubits, and error-correction routines are needed to mitigate the effects of noise and maintain the integrity of the computation.

Despite these challenges, recent research has shown promising results. For example, tweaks to quantum algorithms have dramatically reduced the runtime of certain computations. IBM has been able to perform quantum simulations using relatively modest resources, demonstrating the potential for small-scale but classically intractable computations. Measures to reduce errors in quantum computers, such as error mitigation and entanglement forging, have also contributed to progress in the field.

The first commercial applications of quantum computing are likely to be in areas such as speeding up molecular reactions, risk management in finance, materials science, and logistics optimization. Quantum versions of machine learning algorithms also show promise, as the inherent properties of quantum particles could lead to more efficient models with fewer parameters and less training data. However, quantum machine learning is still in its early stages and has not yet outperformed classical algorithms.

While significant progress is being made, researchers acknowledge that quantum computing is a long-term endeavor. Building a quantum-skilled workforce is crucial for advancing the field, and the process of improvement will be gradual rather than sudden. Despite the slow progress, investors remain patient and confident in the potential of quantum computing.

In conclusion, quantum computers are still in the early stages of development and face numerous challenges. However, researchers are optimistic about the progress being made and the potential applications of quantum computing. It will take time to overcome the technical obstacles and fully realize the benefits of this revolutionary technology.

Source: https://www.nature.com/articles/d41586-023-01692-9

### What Is Quantum Computing? The Complete WIRED Guide

When computers become smaller or faster, significant advancements occur. Quantum computing is a pursuit that aims to achieve the most substantial performance boost in the history of technology by leveraging the counterintuitive principles of subatomic physics.

Quantum computing involves qubits, which are the fundamental units of information. Unlike classical bits that can be either 0 or 1, qubits can exist in a superposition, simultaneously representing both 0 and 1. This property enables quantum computers to perform complex calculations much faster than classical computers.

Superposition is a key concept in quantum computing. It allows qubits to be in multiple states at once, exponentially increasing the computational power. By manipulating qubits through operations such as entanglement, scientists can harness their collective computational abilities to solve complex problems.

Entanglement, often referred to as spooky action at a distance, is another crucial principle in quantum computing. It involves linking qubits in such a way that the state of one qubit instantly affects the state of another, regardless of the distance between them. This phenomenon enables quantum computers to perform parallel computations and enhances their processing capabilities.

Building a practical quantum computer is a significant challenge. One of the hurdles is maintaining the delicate state of qubits, which can easily be disturbed by environmental factors. Scientists have been developing various qubit technologies, such as superconducting circuits, trapped ions, and topological qubits, each with its own advantages and disadvantages.

Quantum algorithms are algorithms specifically designed to leverage the unique properties of quantum computers. They have the potential to solve problems that are currently infeasible for classical computers. Some quantum algorithms, such as Shor’s algorithm, can efficiently factor large numbers, threatening the security of many cryptographic systems.

Despite the exciting prospects of quantum computing, practical applications are still limited. Quantum computers are currently best suited for certain types of problems, such as optimization, simulation of quantum systems, and quantum chemistry calculations. However, researchers are actively exploring new applications and ways to overcome the challenges to unlock the full potential of quantum computing.

In conclusion, quantum computing is a revolutionary field that aims to harness the principles of subatomic physics to achieve unprecedented computational power. By utilizing qubits, superposition, and entanglement, quantum computers have the potential to solve complex problems much faster than classical computers. Although there are significant challenges to overcome, the development of practical quantum computers could have a transformative impact on various industries and scientific disciplines.

Source: https://www.wired.com/story/wired-guide-to-quantum-computing/

### ALL ABOUT QUANTUM COMPUTING

Quantum computing is set to revolutionize technology and has the potential to impact various sectors, including mobility, healthcare, finance, cybersecurity, and transportation. Quantum computers operate based on the principles of superposition and quantum entanglement, using qubits as the basic unit of information instead of conventional bits.

Quantum computers offer extraordinary computational power that surpasses the capabilities of traditional computers. While traditional computers operate using a binary system of ones and zeros, quantum computers can simultaneously exist in multiple states, allowing for complex computations. For example, a quantum computer with just 30 qubits can perform billions of floating-point operations per second.

There are several key differences between quantum and traditional computing. Quantum computing does not have its own programming language and requires the development of specific algorithms. Additionally, quantum computers have a simpler architecture, consisting solely of qubits, while traditional computers have memory and processors. Quantum computers are primarily used in corporate, scientific, and technological fields rather than for everyday use.

Operating conditions for quantum computers are highly specific, requiring low pressure, extremely low temperatures close to absolute zero, and insulation from external particles. These sensitive machines interact with the environment, leading to measurement errors and the erasure of state overlaps. As a result, they must be sealed and operated using conventional computers. Furthermore, quantum computers only operate for short intervals of time, making data storage and recovery challenging.

The potential applications of quantum computing are vast. In finance, companies can optimize investment portfolios, improve fraud detection, and enhance simulation systems. In the healthcare sector, quantum computing can contribute to the development of new drugs, genetically customized treatments, and advancements in DNA research. Cybersecurity can benefit from quantum programming through advances in data encryption, such as the Quantum Key Distribution (QKD) system, which detects intruders using light signals. Quantum computing can also revolutionize mobility and transportation by facilitating the design of more efficient aircraft and enabling advancements in traffic planning systems and route optimization.

In conclusion, quantum computing holds immense promise for the future. Its ability to overcome the limitations of traditional computing and perform complex computations has far-reaching implications for various industries. While there are challenges and specific operating conditions associated with quantum computing, the potential benefits in fields like finance, healthcare, cybersecurity, and transportation are significant. The development of this technology will undoubtedly shape the future of technology as we know it.

Source: https://www.iberdrola.com/innovation/what-is-quantum-computing

### IBM Quantum Computing

IBM Quantum Computing

IBM is a renowned technology company that has made significant contributions to the field of quantum computing. Quantum computing is a cutting-edge area of research and development that aims to harness the principles of quantum mechanics to perform computations that are not feasible with classical computers.

IBM has been at the forefront of quantum computing research for many years. They have made remarkable progress in building and advancing quantum systems. One of their notable achievements is the development of the IBM Quantum Experience, which is a cloud-based platform that allows users to run quantum algorithms on real quantum hardware.

The IBM Quantum Experience provides access to quantum processors with varying numbers of qubits, the fundamental units of quantum information. Users can write and execute quantum programs using a programming language called Qiskit. This platform has been instrumental in democratizing access to quantum computing and enabling researchers, developers, and students from around the world to explore and experiment with quantum algorithms.

IBM has also made significant strides in scaling up quantum systems. They have successfully increased the number of qubits in their quantum processors, reaching milestones such as 50-qubit and 53-qubit systems. These advancements have opened up new possibilities for tackling complex computational problems and exploring the potential applications of quantum computing.

In addition to hardware development, IBM is actively involved in quantum software development. They have created an open-source software framework called Qiskit, which provides tools and libraries for quantum programming. Qiskit allows developers to design, simulate, and optimize quantum circuits, and it supports multiple quantum backends, including IBM’s own quantum hardware.

Furthermore, IBM is fostering a vibrant quantum community through initiatives like the IBM Q Network. The IBM Q Network is a global community of researchers, startups, and Fortune 500 companies who collaborate with IBM to explore and exploit the capabilities of quantum computing. This network provides members with access to IBM’s quantum systems, technical support, and resources to accelerate their quantum research and development.

IBM’s efforts in quantum computing extend beyond research and development. They are actively exploring real-world applications of quantum computing in various domains, including chemistry, optimization, and finance. By partnering with industries and academic institutions, IBM aims to identify practical use cases where quantum computing can deliver tangible benefits.

In conclusion, IBM is a key player in the field of quantum computing. Through their continuous research, development, and community-building efforts, they are driving advancements in quantum hardware and software. IBM’s commitment to democratizing quantum computing and exploring real-world applications positions them at the forefront of this transformative technology.

Source: https://www.ibm.com/quantum