FIGURE 3 - uploaded by Dan C Marinescu
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Linear photon polarization. (a) Vertical polarization, the polarization vector, v along the x -axis. (b) Horizontal polarization, the polarization vector, h along the y -axis.
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Quantum and biological information processing could revolutionize computing and communication in the third millennium. In
the 2007 Boole Lecture, we discussed the necessity to explore alternative paradigms for computing and communication and presented
some striking features of quantum information processing and provided some insights into quantum p...
Contexts in source publication
Context 1
... vector momentum (the vector momentum determines the frequency) and its polarization. In the classical theory, light is described as having an electric field that oscil- lates. The electric field can oscillate vertically, in a plane per- pendicular to the direction of propagation, the z-axis, and then we say that the light is x-polarized, as in Fig. 3a. The electric field can oscillate horizontally in a plane perpendicular to the direction of propagation, and then we say the light is y-polarized as shown in Fig. ...
Context 2
... lates. The electric field can oscillate vertically, in a plane per- pendicular to the direction of propagation, the z-axis, and then we say that the light is x-polarized, as in Fig. 3a. The electric field can oscillate horizontally in a plane perpendicular to the direction of propagation, and then we say the light is y-polarized as shown in Fig. ...
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Citations
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.
For electronic, MEMS and electronic systems, we examine emerged technologies, research novel solutions and apply new transformative findings. To enable communication and processing schemes, nano and molecular technologies are applied. Transformative findings and developments are substantiated by analyzing and evaluating multi-physics microscopic systems. We advance physical foundations, engineering premises and information technology of classical, quantum and mixed sensing, communication and processing on quantum transductions. This paper examines fundamentals of quantum data processing on measurable and processable real-valued physical quantities. The developed paradigm: (1) Unifies and enables concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Consistent with the first principles of quantum informatics, communication and processing; (3) Coherently examines device physics, switching algebra, processing arithmetics and calculus; (4) Enables practical microscopic hardware solutions for electronics, MEMS and electronic systems.
This paper studies fundamentals of quantum processing on measurable processable compatible observables in microscopic systems which undergo quantum state transitions. The aforementioned microscopic devices (processing primitives) form processing fabrics. We examine the premise of quantum processing by: (1) Unifying and enabling theoretical concepts of theoretical computer science, computer engineering and quantum mechanics; (2) Examining the first principles; (3) Researching device physics; (4) Fostering fundamentally-consistent and practical microscopic hardware solutions. Vertebrates and invertebrates exhibit extraordinary information processing which is performed by biomolecules and molecular aggregates. Information processing in natural systems has not been comprehended, while engineered quantum processing is an emerging paradigm. This paradigm focuses on developments of a great number of new solutions such as microscopic devices, processing arithmetics (calculi), system architectures, etc. The microscopic processing primitives must exhibit utilizable quantum-effect state transitions on observables which result in computable transforms from viewpoints of processing arithmetics, calculus and design. The reported paradigm: (i) Eases enormous challenges; (ii) Overcomes foremost inconsistencies of naive algorithmically-centric computing; (iii) Enables new inroads; (iv) Promises unprecedented processing capabilities ensuring far-reaching benchmarks; (v) Significant advances theory and practice of natural and engineered processing. Our findings support a broad spectrum of transformative research activities.
The notion of information has so far been quantified mostly in statistical terms, giving rise to Shannonpsilas information theory and the principles of digital data transmission. Modern systems involving complex, intelligent, and autonomous agents call for a new look at the measures of information, where context, semantics, structures, and rationality are of paramount importance, especially for applications to biology, chemistry, physics, and economics. In this essay we propose a framework for measuring information inspired by the event-driven approach. We then illustrate our definition on some examples ranging from distributed systems to biology and economics.
