54 research outputs found

    Limitations of quantum computing with Gaussian cluster states

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    We discuss the potential and limitations of Gaussian cluster states for measurement-based quantum computing. Using a framework of Gaussian projected entangled pair states (GPEPS), we show that no matter what Gaussian local measurements are performed on systems distributed on a general graph, transport and processing of quantum information is not possible beyond a certain influence region, except for exponentially suppressed corrections. We also demonstrate that even under arbitrary non-Gaussian local measurements, slabs of Gaussian cluster states of a finite width cannot carry logical quantum information, even if sophisticated encodings of qubits in continuous-variable (CV) systems are allowed for. This is proven by suitably contracting tensor networks representing infinite-dimensional quantum systems. The result can be seen as sharpening the requirements for quantum error correction and fault tolerance for Gaussian cluster states, and points towards the necessity of non-Gaussian resource states for measurement-based quantum computing. The results can equally be viewed as referring to Gaussian quantum repeater networks.Comment: 13 pages, 7 figures, details of main argument extende

    Optimization of Optical Inspections Using Spectral Analysis

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    Efficient and feasible state tomography of quantum many-body systems

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    We present a novel method to perform quantum state tomography for many-particle systems which are particularly suitable for estimating states in lattice systems such as of ultra-cold atoms in optical lattices. We show that the need for measuring a tomographically complete set of observables can be overcome by letting the state evolve under some suitably chosen random circuits followed by the measurement of a single observable. We generalize known results about the approximation of unitary 2-designs, i.e., certain classes of random unitary matrices, by random quantum circuits and connect our findings to the theory of quantum compressed sensing. We show that for ultra-cold atoms in optical lattices established techniques like optical super-lattices, laser speckles, and time-of-flight measurements are sufficient to perform fully certified, assumption-free tomography. Combining our approach with tensor network methods - in particular the theory of matrix-product states - we identify situations where the effort of reconstruction is even constant in the number of lattice sites, allowing in principle to perform tomography on large-scale systems readily available in present experiments.Comment: 10 pages, 3 figures, minor corrections, discussion added, emphasizing that no single-site addressing is needed at any stage of the scheme when implemented in optical lattice system

    Current CONtrolled Transmit And Receive Coil Elements (C2ONTAR) for Parallel Acquisition and Parallel Excitation Techniques at High-Field MRI

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    A novel intrinsically decoupled transmit and receive radio-frequency coil element is presented for applications in parallel imaging and parallel excitation techniques in high-field magnetic resonance imaging. Decoupling is achieved by a twofold strategy: during transmission elements are driven by current sources, while during signal reception resonant elements are switched to a high input impedance preamplifier. To avoid B0 distortions by magnetic impurities or DC currents a resonant transmission line is used to relocate electronic components from the vicinity of the imaged object. The performance of a four-element array for 3 T magnetic resonance tomograph is analyzed by means of simulation, measurements of electromagnetic fields and bench experiments. The feasibility of parallel acquisition and parallel excitation is demonstrated and compared to that of a conventional power source-driven array of equivalent geometry. Due to their intrinsic decoupling the current-controlled elements are ideal basic building blocks for multi-element transmit and receive arrays of flexible geometry

    Accelerated CMR using zonal, parallel and prior knowledge driven imaging methods

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    Accelerated imaging is highly relevant for many CMR applications as competing constraints with respect to spatiotemporal resolution and tolerable scan times are frequently posed. Three approaches, all involving data undersampling to increase scan efficiencies, are discussed in this review. Zonal imaging can be considered a niche but nevertheless has found application in coronary imaging and CMR flow measurements. Current work on parallel-transmit systems is expected to revive the interest in zonal imaging techniques. The second and main approach to speeding up CMR sequences has been parallel imaging. A wide range of CMR applications has benefited from parallel imaging with reduction factors of two to three routinely applied for functional assessment, perfusion, viability and coronary imaging. Large coil arrays, as are becoming increasingly available, are expected to support reduction factors greater than three to four in particular in combination with 3D imaging protocols. Despite these prospects, theoretical work has indicated fundamental limits of coil encoding at clinically available magnetic field strengths. In that respect, alternative approaches exploiting prior knowledge about the object being imaged as such or jointly with parallel imaging have attracted considerable attention. Five to eight-fold scan accelerations in cine and dynamic CMR applications have been reported and image quality has been found to be favorable relative to using parallel imaging alone

    Measuring Practical Coil Array Performance with Respect to Ultimate Intrinsic SNR: A Tool for Array Design and Assessment. Presentation # 424, at the 14th ISMRM

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    Introduction As the number of available receiver channels on modern MR systems increases, increasing attention will be paid to the design and performance of many-element RF coil arrays. Questions regarding the balance of coil-noise and sample-noise or the suitability of any particular array design for parallel imaging-already areas of great practical interest to coil designers -promise to take on new significance as the number of elements increases. In this context, it would be useful to have a concrete metric of coil performance, in order not only to compare different designs but also to determine how much room for improvement there may be in any particular design. Recent studies have shown that there is an inherent electrodynamic limitation to the achievable SNR for any physically realizable coil array (assuming sampledominated noise), and have modeled the behavior of ultimate intrinsic SNR either in the absence Materials and Methods The best possible SNR can be found by substituting coil sensitivities in the image reconstruction algorithm with a complete set of basis functions that are valid solutions of Maxwell's equations. The electric field associated to these basis functions is used to compute the noiseresistance matrix Ψ which specifies the noise power associated with any linear combination of coil sensitivities. Using the weak SENSE reconstruction algorithm for parallel MRI [4], which has unit sensitivity at the pixel of interest and zero at the aliased positions, the ultimate intrinsic SNR can be expressed as: where ω is the Larmor frequency, M 0 is the equilibrium magnetization, k B is Boltzmann's constant, T S is the temperature of the sample and B is the encoding matrix as defined in [2]. The net field inside a cylindrical-shaped uniform phantom was expressed as a linear combination of cylindrical harmonics (having the form e ikz e imφ J m (k'ρ), with integer m and suitable values of k and k') satisfying Maxwell's equations in a source free medium where V is the voxel volume, θ is the flip angle, N acq is the number of acquired k-space data points, NEX is the number of repetitions, NF is the noise figure of the preamplifiers and BW is the bandwidth. Performance maps for the coil array were computed as the ratio of the actual SNR to the scaled ultimate SNR, as a function of position inside the sample of interest, for various acceleration factors. Results and Discussion The choice of basis functions was found to have a significant influence on the convergence behavior and the numerical tractability of the ultimate intrinsic SNR calculations, and this motivated our choice of cylindrical harmonic functions matched to the geometry of the phantom, as opposed to the plane wave Conclusions We have described a method to evaluate the absolute performance of any particular coil array. This procedure can be used to improve the design of receiver coils for sequential or parallel imaging applications. Future investigations will evaluate larger numbers of array elements and higher accelerations

    Time-of-flight depth image denoising using prior noise information

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    In this paper, we propose a novel way of using time-of-flight camera depth and amplitude images to reduce the noise in depth images with prior knowledge of spatial noise distribution, which is corre-lated with the incident light falling on each pixel. The denoising is done in wavelet space and the influence and implications of the extended noise model to wavelet space and common denoising methods are shown
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