Author name: MK Usmaan

Quantum computing is an exciting new field with enormous potential. However, as the technology rapidly advances, there is a growing quantum computing skills gap and talent shortage. Organizations are struggling to find qualified candidates to fill quantum computing roles. This article examines the reasons behind the skills shortage, its impact, and potential solutions. The exponential

Quantum random number generators (QRNGs) are an emerging technology that leverage the principles of quantum mechanics to generate truly random numbers. As cyberattacks become more sophisticated, there is an increasing need for strong, quantum enhanced cryptography and security solutions. QRNGs can play a pivotal role in strengthening data protection and privacy in our digital world.

Introduction Google, IBM and Rigetti are three of the leading companies at the forefront of developing quantum processors. In this article, we will compare and contrast their different approaches. Overview of quantum computing Quantum computers use qubits (quantum bits) instead of regular bits used in classical computers. Qubits can exist in a superposition of 0

There are several leading approaches to building quantum computers, with two major ones being gate-model quantum computers and quantum annealing. Though both leverage quantum effects, they have fundamental differences. How Quantum Computers Work To understand the distinctions between gate-model and annealing quantum computers, we must first grasp how quantum computers function differently than classical ones.