Posts Tagged ‘Quantum computing

An infallible quantum measurement

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The new method allows for reliable statements about the entanglement in a system. Credit: Uni Innsbruck/Ritsch

The new method allows for reliable statements about the entanglement in a system. Credit: Uni Innsbruck/Ritsch

Entanglement is a key resource for upcoming quantum computers and simulators. Now, physicists in Innsbruck and Geneva realized a new, reliable method to verify entanglement in the laboratory using a minimal number of assumptions about the system and measuring devices. Hence, this method witnesses the presence of useful entanglement.

Quantum computation, quantum communication and quantum cryptography often require entanglement. For many of these upcoming quantum technologies, entanglement – this hard to grasp, counter-intuitive aspect in the quantum world – is a key ingredient. Therefore, experimental physicists often need to verify entanglement in their systems. “Two years ago, we managed to verify entanglement between up to 14 ions”, explains Thomas Monz. He works in the group of Rainer Blatt at the Institute for Experimental Physics, University Innsbruck. This team is still holding the world-record for the largest number of entangled particles. “In order to verify the entanglement, we had to make some, experimentally calibrated, assumptions. However, assumptions, for instance about the number of dimensions of the system or a decent calibration, make any subsequently derived statements vulnerable”, explains Monz. Together with Julio Barreiro, who recently moved on the Max Planck Institute of Quantum Optics in Garching, and Jean-Daniel Bancal from the group of Nicolas Gisin at the University of Geneva, now at the Center for Quantum Technologies in Singapore, the physicists derived and implemented a new method to verify entanglement between several objects.
Finding correlations
The presented device-independent method is based on a single assumption: “We only have to make sure that we always apply the same set of operations on the quantum objects, and that the operations are independent of each other”, explains Julio Barreiro. “However, which operations we apply in detail – this is something we do not need to know.” This approach – called Device Independent – allows them to get around several potential sources of error, and subsequently wrong interpretations of the results. “In the end, we investigate the correlations between the settings and the obtained results. Once the correlations exceed a certain threshold, we know that the objects are entangled.” For the experimentally hardly avoidable crosstalk of operations applied to levitating calcium ions in the vacuum chamber in Innsbruck, the Swiss theorist Jean-Daniel Bancal managed to adapt the threshold according to a worst-case scenario. “When this higher threshold is breached, we can claim entanglement in the system with high confidence”, states Bancal.
Assumptions as Achilles heel
For physicists, such procedures that are based on very few assumptions are highly interesting. By being basically independent of the system, they provide high confidence and strengthen the results of experimentalists. “Assumptions are always the Achilles heel – be that for lab data or theory work”, stresses Thomas Monz. “We managed to reduce the number of assumption to verify entanglement to a minimum. Our method thus allows for reliable statements about the entanglement in a system.” In the actual implementation, the physicists in Innsbruck could verify entanglement of up to 6 ions. This new method can also be applied for larger systems. The technical demands, however, also increase accordingly.

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Written by physicsgg

August 5, 2013 at 1:20 pm


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Quantum computer solves simple linear equations

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Conceptual illustration of photon-based qubits. (Courtesy: iStockphoto/Henrik Jonsson)

Conceptual illustration of photon-based qubits. (Courtesy: iStockphoto/Henrik Jonsson)

Experimental Quantum Computing to Solve Systems of Linear Equations
X.-D. Cai et al
Solving linear systems of equations is ubiquitous in all areas of science and engineering. With rapidly growing data sets, such a task can be intractable for classical computers, as the best known classical algorithms require a time proportional to the number of variables N. A recently proposed quantum algorithm shows that quantum computers could solve linear systems in a time scale of order log⁡(N), giving an exponential speedup over classical computers. Here we realize the simplest instance of this algorithm, solving 2×2 linear equations for various input vectors on a quantum computer. We use four quantum bits and four controlled logic gates to implement every subroutine required, demonstrating the working principle of this algorithm.
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Written by physicsgg

June 13, 2013 at 8:31 am

Solving systems of linear equations on a quantum computer

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Experimental setup

Experimental setup

Stefanie Barz, Ivan Kassal, Martin Ringbauer, Yannick Ole Lipp, Borivoje Dakic, Alán Aspuru-Guzik, Philip Walther
Systems of linear equations are used to model a wide array of problems in all fields of science and engineering. Recently, it has been shown that quantum computers could solve linear systems exponentially faster than classical computers, making for one of the most promising applications of quantum computation. Here, we demonstrate this quantum algorithm by implementing various instances on a photonic quantum computing architecture. Our implementation involves the application of two consecutive entangling gates on the same pair of polarisation-encoded qubits. We realize two separate controlled-NOT gates where the successful operation of the first gate is heralded by a measurement of two ancillary photons. Our work thus demonstrates the implementation of a quantum algorithm with high practical significance as well as an important technological advance which brings us closer to a comprehensive control of photonic quantum information.
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Written by physicsgg

February 7, 2013 at 4:40 pm

Landmark in quantum computing

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Australians Create 1-Atom Silicon Quantum Computing Bit (quBit)

World’s first ever single-atom silicon quantum bit opens the door to new quantum computers based on traditional materials

Using a silicon circuit with a phosphorous donor atom, researchers at the University of New South Wales have achieved a critical step forward in the path to quantum computers.

Past efforts have been limited to making nanostructures to read spin, or to making quBits that stored it.  This work represents a bold step forward as it’s reportedly the first single-atom silicon quBit system endowed with both the ability to read and write the bit coherently.

The bit showed excellent coherence, lasting for 200 micro-seconds (0.2 milliseconds), or about 400,000 clock cycles on a 2 GHz CPU.  The paper suggests that with tighter control of the phosphorous doping, coherence could be extended to last for seconds.

The quBit system was manufactured using standard complementary metal-oxide-semiconductor (CMOS) techniques.  Nanostructures were grown on silicon-dioxide.

The quantum bit read/write nanostructure [Image Source: Nature/UNSW]

Electron spin was first set by 1 Tesla magnetic field — around the intensity of the magnetic field at the surface of a Neodymium magnet (by contrast the Earth’s magnetic field is a near 31 microTeslas at the Equator).

The electron temperature was then brought down to 300 milliKelvin (note to readers: milliKelvin coolers are pretty expensive, as one might think — but work is being done to bring down prices).

Visualization of the electrons set in a certain spin. [Image Source: Nature/UNSW]

Reads were accomplished given a technique called single-shot projective measurement.

The long term goal of this kind of research is to create nanostructure quBits that use traditional processes, with some extra tweaks (cooling, high power magnetic sync) to encode information in the spins of electrons, and then use other nanostructures to read that stored information coherently.

QuBits could then be applied to one of two purposes.

First, quBits could be used with traditional transistor circuitry to provide dense storage, as one quBit (with the right read/write nanostructure equipment) could store multiple states (0, 1, 2, 3, …) (via different electron spins) versus a traditional bit, which only can have two states (0, 1).

Second, quBits could be coupled together to produce a quantum computer capable of solving certain types of problems like integer factorization far faster than traditional computers.

The new work still has some issues before its ready for prime-time — relatively short coherence, the need for intense cooling — but it also is promising given its use of traditional materials and manufacturing techniques

The work was presented in the prestigious peer-review journal Nature.  The first author was Jarryd Pla and the senior author was Professor Andrea Morello.  The work was funded by the US Army Research Office and the Australian Research Council Centre of Excellence for Quantum Computation and Communication Technology.

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Written by physicsgg

September 22, 2012 at 7:04 pm

Quantum computing with microwaves

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NIST’s gold ion trap on an aluminium nitride backing. (Courtesy: Y. Colombe/NIST.)

Two independent groups of physicists have made important breakthroughs in the control of quantum computers based on trapped ions. Instead of controlling quantum bits (qubits) using multiple laser beams, the teams have used microwave sources, which are much easier to control and integrate within quantum circuits. The work could lead to practical quantum computers that incorporate large numbers of qubits on a single chip.

The most successful quantum-computing system so far has been the ion trap – in which information is encoded in the electron spin states of ions that are confined by electric fields. In such systems, the electron spins of multiple ions can be put into a single quantum state in which they are no longer independent of one another. In this “entangled” state, which has no analogue in classical physics, correlations between ions can be used to perform certain logical operations that would take an unfeasibly long time for a classical computer….. Read the rest of this entry »

Written by physicsgg

August 10, 2011 at 9:21 pm