Quantum computing relies on controlling and observing the behaviour of quantum particles - for instance individual electrons - to deliver enormous processing power.
In the two breakthroughs, written up in the international journals Nano Letters and Applied Physics Letters, researchers have for the first time demonstrated two ways to deliberately place an electron in a nano-sized device on a silicon chip.
The achievements set the stage for the next crucial steps of being able to observe and then control the electron's quantum state or "spin", to create a quantum bit.
Multiple quantum bits coupled together make up the processor of a quantum computer.
Professor Andrew Dzurak, the NSW Node Director of the Australian National Fabrication Facility at UNSW and Dr Andrea Morello, Manager of the Quantum Measurement and Control Chip Program at the ARC Centre of Excellence for Quantum Computer Technology, were leaders in the breakthrough work.
In research just published in Applied Physics Letters, the team, including PhD student Wee Han Lim, were able to accurately localise a single electron in silicon without it being attached to an atom. This "artificial atom" is known as a "quantum dot".
Dr Morello said the quantum dot avoided the difficulty of having to introduce single atoms in precise positions in a silicon chip.
In a separate project, published in the journal Nano Letters, the researchers, including PhD student Kuan Yen Tan, used "nature's own way" to localise electrons, by binding them to single atoms.
Quantum computing's power comes from the fact that electrons can have a "spin" pointing in one of two directions. The spin position can be used in the same way that zeroes and ones represent data in today's computers.
However electrons can also hold intermediate spin positions, or quantum states, which is what gives quantum computing its power.
While today's computers increase their power linearly with the number of bits added, quantum bits, when coupled together, can deliver an exponential increase in their ability to represent data.
The other leaders of the research team are Professor David Jamieson at the University of Melbourne, and Dr Mikko Möttönen at the Helsinki University of Technology. Students Wee Han Lim and Kuan Yen Tan have just completed their PhD degrees in the UNSW School of Electrical Engineering and Telecommunications.
In the two breakthroughs, written up in the international journals Nano Letters and Applied Physics Letters, researchers have for the first time demonstrated two ways to deliberately place an electron in a nano-sized device on a silicon chip.
The achievements set the stage for the next crucial steps of being able to observe and then control the electron's quantum state or "spin", to create a quantum bit.
Multiple quantum bits coupled together make up the processor of a quantum computer.
Professor Andrew Dzurak, the NSW Node Director of the Australian National Fabrication Facility at UNSW and Dr Andrea Morello, Manager of the Quantum Measurement and Control Chip Program at the ARC Centre of Excellence for Quantum Computer Technology, were leaders in the breakthrough work.
In research just published in Applied Physics Letters, the team, including PhD student Wee Han Lim, were able to accurately localise a single electron in silicon without it being attached to an atom. This "artificial atom" is known as a "quantum dot".
Dr Morello said the quantum dot avoided the difficulty of having to introduce single atoms in precise positions in a silicon chip.
In a separate project, published in the journal Nano Letters, the researchers, including PhD student Kuan Yen Tan, used "nature's own way" to localise electrons, by binding them to single atoms.
Quantum computing's power comes from the fact that electrons can have a "spin" pointing in one of two directions. The spin position can be used in the same way that zeroes and ones represent data in today's computers.
However electrons can also hold intermediate spin positions, or quantum states, which is what gives quantum computing its power.
While today's computers increase their power linearly with the number of bits added, quantum bits, when coupled together, can deliver an exponential increase in their ability to represent data.
The other leaders of the research team are Professor David Jamieson at the University of Melbourne, and Dr Mikko Möttönen at the Helsinki University of Technology. Students Wee Han Lim and Kuan Yen Tan have just completed their PhD degrees in the UNSW School of Electrical Engineering and Telecommunications.
Research on single electrons is approaching the pico/femtoscale horizon of structures, and with the interesting contributions of researchers like Professor Andrew Dzurak and Doctor Andrea Morello pointing out details of qubits as computational factors the focus is resolving valid new electron, photon, and energy or force field information. That all depends on the data density of the atomic topological function used to model the example. Recent advancements in quantum science have produced the picoyoctometric, 3D, interactive video atomic model imaging function, in terms of chronons and spacons for exact, quantized, relativistic animation. This format returns clear numerical data for a full spectrum of variables. The atom's RQT (relative quantum topological) data point imaging function is built by combination of the relativistic Einstein-Lorenz transform functions for time, mass, and energy with the workon quantized electromagnetic wave equations for frequency and wavelength.
ReplyDeleteThe atom labeled psi (Z) pulsates at the frequency {Nhu=e/h} by cycles of {e=m(c^2)} transformation of nuclear surface mass to forcons with joule values, followed by nuclear force absorption. This radiation process is limited only by spacetime boundaries of {Gravity-Time}, where gravity is the force binding space to psi, forming the GT integral atomic wavefunction. The expression is defined as the series expansion differential of nuclear output rates with quantum symmetry numbers assigned along the progression to give topology to the solutions.
Next, the correlation function for the manifold of internal heat capacity energy particle 3D functions is extracted by rearranging the total internal momentum function to the photon gain rule and integrating it for GT limits. This produces a series of 26 topological waveparticle functions of the five classes; {+Positron, Workon, Thermon, -Electromagneton, Magnemedon}, each the 3D data image of a type of energy intermedon of the 5/2 kT J internal energy cloud, accounting for all of them.
Those 26 energy data values intersect the sizes of the fundamental physical constants: h, h-bar, delta, nuclear magneton, beta magneton, k (series). They quantize atomic dynamics by acting as fulcrum particles. The result is the exact picoyoctometric, 3D, interactive video atomic model data point imaging function, responsive to keyboard input of virtual photon gain events by relativistic, quantized shifts of electron, force, and energy field states and positions. This system also gives a new equation for the magnetic flux variable B, which appears as a waveparticle of changeable frequency.
Images of the h-bar magnetic energy waveparticle of ~175 picoyoctometers are available online at http://www.symmecon.com with the complete RQT atomic modeling manual titled The Crystalon Door, copyright TXu1-266-788. TCD conforms to the unopposed motion of disclosure in U.S. District (NM) Court of 04/02/2001 titled The Solution to the Equation of Schrodinger.