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arXiv:1207.2769 · Physical Review X

Adiabatic Quantum Transistors

Dave Bacon, Steven T. Flammia, Gregory M. Crosswhite

Published Jun 14, 2013• 20 citations
arXivHTMLPDF

Abstract

Many conventional quantum information-processing proposals fix data spatially and use temporally sequenced operations to carry out a computation. Researchers now propose a different approach, relying on connected modular elements---quantum transistors---that could enable clock-controlled quantum information processing similar to present-day classical integrated circuits.

DOI
10.1103/physrevx.3.021015

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Many conventional quantum information-processing proposals fix data spatially and use temporally sequenced operations to carry out a computation. Researchers now propose a different approach, relying on connected modular elements---quantum transistors---that could enable clock-controlled quantum information processing similar to present-day classical integrated circuits.
The standard circuit model of quantum computation differs in principle from a modern day computer chip in that computation is brought to stationary qubits in the former whereas information is routed spatially across a chip by transistors in the latter. Recently a model was proposed that addresses this key difference in implementation, it was dubbed the adiabatic quantum transistor model to emphasise its similarity to a classical transistor. Here we generalise this model to the setting of spin chains in inherently quantum phases of matter with a property called symmetry-protected order. Our generalisation is significant as it shows the computational properties of the model persist robustly throughout each symmetry-protected quantum phase of matter.
The amount of data produced and processed every day is increasing exponentially, and reaching unthinkable levels. This amount of data has to be stored and processed by something. While the conventional computers are reaching their limits in data storage and processing, and this dictates the need for a nano sized transistors.Quantum computers can provide genius solution for that issue. Quantum computing is an emerging interdisciplinary field in information technology. This technology acquired its name, because it is based on quantum physics. In this article we present a new perspectiveonthe progress in the research efforts on quantum computing technology and their likelihood to replace the conventional computers and change the way we manipulate data and information. Also we claim this might be the first article in the region tackling quantum technology.
Quantum theory is vital for the next generation data processing devices. As computers become faster they must become smaller because of the finiteness of the speed of light. The history of computer technology has involved a sequence of changes from one type of physical realisation to another - from gears to relays to valves to transistors to integrated circuits and so on. The step to the molecular scale - the quantum level - will be next. Quantum theory is already important in the design of microelectronic components. Soon it will be necessary to harness quantum theory, rather than simply take it into account, to give data processing devices new functionality.
This work introduces and characterizes quantum sequential circuits (QSCs) as a hardware-oriented paradigm for quantum computing, built upon a novel foundational element termed the quantum transistor. Unlike conventional qubit-based architectures, QSCs employ symmetry-protected topological junctions where quantum gates are encoded as Choi states via channel-state duality and activated through bulk measurements, utilizing ebits to realize the functional analog of feedback loops in classical sequential circuits. This framework establishes a universal model for quantum computation that inherently incorporates memory and temporal sequencing, complementing existing combinational quantum circuit model. Our work advances the conceptual bridge towards a quantum von Neumann architecture, underscoring the potential of hybrid and modular design principles for the development of large-scale, integrated quantum information processors.