Hardware, software and algorithmic solutions for quantum data processing

This paper examines physical, algorithmic and hardware fundamentals of quantum information processing which includes computing, coding, communication, data storage and other tasks. Practical processing by microscopic (atomic and molecular) systems can be accomplished only by using measurable real-valued physical variables (quantities). These variables should be quantum-mechanically achivable, algorithmically processable and hardware realizable. The theoretical results of quantum mechanics must be experimentally substantiated by observing controlled quantum state transitions, transductions and evolutions in dynamic microscopic systems. The microscopic devices form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical computer science, quantum information science and computer engineering; (2) Examining the first principles of quantum information processing at the device and system levels; (3) Developing algorithmic and design paradigms with consistent processing calculus and arithmetics; (4) Fostering consistent and practical microscopic hardware solutions.