Quantum Computers are now being produced for commercial and personal usage. This will see the rate of invention and information processing rapidly increase. Their specifications are just amazing and since we all love faster smarter machines then why not go for them!
1. Introduction
The computing ecosystem has always had deep impacts on society and technology and profoundly changed our lives in myriads of ways. Despite decades of impressive Moore's Law performance scaling and other growth in the computing ecosystem there are nonetheless still important potential applications of computing that remain out of reach of current or foreseeable conventional computer systems.
Why Quantum Computing?
Quantum computing (QC) is viewed by many as a possible future option for tackling these high-complexity or seemingly-intractable problems by complementing classical computing with a fundamentally different compute paradigm. Classically-intractable problems include chemistry and molecular dynamics simulations to support the design of better ways to understand and design chemical reactions, ranging from nitrogen fixation as the basis for fertilizer production, to the design of pharmaceuticals.
What is Quantum Computing?
QC uses quantum mechanical properties to express and manipulate information as quantum bits or qubits. Through specific properties from quantum physics, a quantum computer can operate on an exponentially large computational space at a cost that scales only polynomially with the required resources. Algorithms that can be appropriately implemented on a quantum computer can offer large potential speedups — sometimes even exponential speedups — over the best current classical approaches.
The Inflection Point: Why now?
The intellectual roots of QC go back decades to pioneers such as Richard Feynman who considered the fundamental difficulty of simulating quantum systems and "turned the problem around" by proposing to use quantum mechanics itself as a basis for implementing a new kind of computer capable of solving such problems. Although the basic theoretical underpinning of QC has been around for some time, it took until the past 5 years to bring the field to an inflection point: now small and intermediate-scale machines are being built in various labs, in academia and industry.