ibm 4-qubit square circuit

Connecting the dots of quantum computing

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ibm 4-qubit square circuit
Layout of IBM’s four superconducting quantum bit device announced in 2015. Using a square lattice, IBM is able to detect both types of quantum errors for the first time. (Credit: IBM Research)

By Sachin Garg, associate director, electronics and semiconductors practice, MarketsandMarkets Research

Binary computers helped us to get connected with an entirely new realm of opportunities and possibilities. It took a lot of effort and time to build a computer which can execute multiple tasks and handle massive calculations at the same time.

But despite many innovations and developments, the computing systems currently available are not fast enough in handling complex problems and calculations.

To address this problem, various tech companies and organisations have been developing computing systems which can use quantum concepts to execute complex tasks and solve any problems. 

Though this is probably not an exhaustive list, the companies and organisations include:

Bits and qubits

A quantum computer is a computational device that uses quantum mechanical phenomena, such as superposition and entanglement, to perform operations on given data.

In classical computers information is stored in bits, whereas quantum computer stores information in quantum bits popularly known as qubits.

Superposition and entanglement are the basic properties of quantum computers which differentiate them from classical computers. The superposition property of quantum computers enables its qubits to be in the 1 and 0 state at the same time.

And this uniqueness of qubits increases the speed of approaching given problem.

For example, say you have two binary digits – 0 and 1. These refer to the “on” or “off” state of transistors.

In binary computing, you could arrange them as follows: 00, 01, 10, or 11. But binary computers can process only one of those numbers at any one time. If it were required to process several of those numbers, it would have to do so one at a time.

In a quantum computer, just two qubits can also represent the exact same four states (00, 01, 10, or 11). But the crucial thing is, the superposition property of qubits enables the quantum computer to be at all four states at the same time.

In other words, qubit transistors – if they can be called that – can be on and off at the same time.

This ability of one quantum computer to do this is equivalent of four regular computers running side-by-side. On the other side, entanglement property of quantum computers helps to establish correlation between qubits where they store common information.

Fifteen million dollars? 

In 2010, D-Wave Systems shipped the first quantum computer, which was of 512 qubits to Lockheed Martin. This transaction created enough buzz for quantum computers to get highlighted.

In the span of next seven years, D-Wave shipped their quantum computers to companies and consortia like Nasa’s Quantum Artificial Intelligence Lab, Los Alamos National Laboratory, Temporal Defence Systems and USC Information Sciences Institute.

At $15 million each, not many others can afford a D-Wave system.

In addition, automakers like Volkswagen has also shown interest in using quantum computers in its traffic flow optimization project.

At present quantum computers are in demand by industries such as defence and banking and finance.

As of 2016, 80 per cent of quantum computing market is dominated by defence and banking and finance sector.

However, booming technological trends such as artificial intelligence and machine learning will surely be tapped by quantum computing industry players to use them as a gateway to enter in mainstream computing market space.

In addition to this quantum computers also holds huge scope for pharmaceutical and healthcare industry.

What for? 

Key applications of quantum computers are present in simulation, optimization and sampling areas – in sectors such as earth sciences, life sciences, aerospace, automaking and so on.

In simple terms, applications of quantum computers are in object / system simulation, financial trade sampling, machine learning and optimizing various processes like cancer radiotherapy, seismic survey optimization and water movement within pressurized pipe network.

In coming years’ quantum computing can be used in applications such as molecular chemistry, weather forecasting, astronomy, reserve, spot trading optimization and so on.

The existing ecosystem of quantum computing can be divided in two parts:

  • hardware providers; and
  • software / solution providers.

In the former category, companies such as D-Wave, IBM, and Atos are so far the only key players, with Atos recently building a quantum computer simulator using Intel chips.

In this set of companies, only D-Wave has earned revenue so far by successfully completing business transactions.

However, there is a larger number of companies holding the fort of software / solution part of quantum computing’s ecosystem. They include, though are not limited to:

Today, quantum computing remains too complex for many and only a handful of specialists know how to use a quantum computer.

Many computing professionals still believe that it will always be economical to build a classical computer which has more bits than the number of qubits in the quantum computer.

Surely this technology will not have a smooth ride in the market because of the cost and complexity which comes as the major obstacle, but quantum computers will probably overcome these hurdles.

About the author: Sachin Garg is a management and engineering professional with almost 12 years of experience in electronics and semiconductor business in different applications like consumer electronics, automotive, healthcare, industrial and other sectors. He has worked with the leading IT and semiconductor companies like STMicroelectronics, NXP Semiconductor, and Cognizant, and handled the business development of semiconductor IP market in R&D across various core industries. He has worked on projects related to system on chip, internet of things, artificial intelligence, augmented and virtual reality, wireless sensor network, low power management, product miniaturization and many others.


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