Article
Quantum Science & Technology
Akshay Gaikwad, Arvind, Kavita Dorai
Summary: In this study, the compressed sensing (CS) algorithm and a heavily reduced data set were used to perform true quantum process tomography on an NMR quantum processor. The CS algorithm demonstrated significantly better performance in the Pauli-error basis for estimating process matrices corresponding to various quantum gates.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Giovanni S. Alberti, Paolo Campodonico, Matteo Santacesaria
Summary: Photoacoustic tomography (PAT) is a new imaging modality that aims to measure the high-contrast optical properties of tissues through high-resolution ultrasonic measurements. Recent research has focused on applying compressed sensing to reduce measuring times while maintaining reconstruction quality. In many practical measurement setups, compressed sensing PAT simplifies to compressed sensing for undersampled Fourier measurements, which has been validated through extensive numerical simulations.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)
Article
Quantum Science & Technology
Toru Aonishi, Kazushi Mimura, Masato Okada, Yoshihisa Yamamoto
Summary: A quantum-classical hybrid system is proposed for optimization in L0-regularization-based compressed sensing, potentially outperforming L1-regularization-based compressed sensing. The system utilizes a coherent Ising machine as the quantum machine and shows promising theoretical performance close to the limit of compressed sensing, surpassing L1-RBCS in estimation accuracy in practical applications such as magnetic resonance imaging data analysis.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Optics
James W. Webber, Eric L. Miller
Summary: This paper presents a new reconstruction technique for two-dimensional Bragg scattering tomography (BST) based on the Radon transform models, utilizing ideas from multibang control and microlocal analysis. The method constructs an objective function to regularize BST artifacts and is tested in Monte Carlo simulated examples related to airport baggage screening and threat detection. The model used captures Bragg scatter effects, beam attenuation, and Compton scatter, and is available from the authors upon request.
Article
Optics
Fang Zhao, Qing Zhao, Dazhi Xu
Summary: In this paper, a method based on compressed sensing is proposed to measure the evolution processes of a driven cavity quantum electrodynamics system. This method can significantly reduce the number of measurements without loss of recovery accuracy.
Article
Quantum Science & Technology
Nicola Biagi, Luca S. Costanzo, Marco Bellini, Alessandro Zavatta
Summary: The newly developed technique of delocalized single photon addition can generate discorrelation, a new joint statistical property of multimode quantum light states where the number of photons in each mode can take any value individually, but two modes together never exhibit the same. The first experimental observation of discorrelation is provided by coherently adding a single photon to two identical coherent states of light in different temporal modes. The capability of manipulating this statistical property has practical applications in scenarios involving the secure distribution of information among untrusted parties.
ADVANCED QUANTUM TECHNOLOGIES
(2021)
Article
Geochemistry & Geophysics
Lina Gao, Wenqiang Zhang, Zhenguo Zhang, Xiaofei Chen
Summary: In this study, we present a compressed sensing (CS) method for extracting multimodes from ambient noise. By using two methods to solve the CS inverse problem, we validate our method with synthetic and field data examples. Our method proves to be more efficient than the widely used frequency-Bessel transform (F-J) method in extracting higher-resolution spectrograms, facilitating studies of ambient noise tomography.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qizheng Wang, Weili Zhao, Xiaoying Xing, Ying Wang, Peijin Xin, Yongye Chen, Yupeng Zhu, Jiajia Xu, Qiang Zhao, Huishu Yuan, Ning Lang
Summary: This study compared the image quality and diagnostic performance of AI-assisted compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI with standard parallel imaging (PI) in clinical 3.0T rapid knee scans. The results showed that the ACS protocol provided superior image quality and equivalent detection of structural abnormalities compared to the conventional PI acquisition, while reducing acquisition time by half.
EUROPEAN RADIOLOGY
(2023)
Article
Physics, Multidisciplinary
Youcef Baamara, Manuel Gessner, Alice Sinatra
Summary: In this study, it is shown that a significant quantum gain can be achieved in multiparameter estimation by measuring the Hadamard coefficients of a 1D or 2D signal, leading to squeezed or over-squeezed spin states. The physical platform considered includes two-level atoms in an optical lattice in a squeezed-Mott configuration or correlated spins distributed in spatially separated modes. The proposed protocol requires the ability to locally flip spins but relies on collective measurements. Examples of applications to scalar or vector field mapping and compressed sensing are provided.
Article
Radiology, Nuclear Medicine & Medical Imaging
Christian Licht, Simon Reichert, Maxime Guye, Lothar R. Schad, Stanislas Rapacchi
Summary: This study developed a new method to accelerate the speed of sodium multi-quantum coherence MRI using a three-dimensional and five-dimensional compressed sensing framework, allowing for simultaneous imaging of multiple types. The experimental results showed that this method can effectively improve the imaging quality at both 3.0 T and 7.0 T.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Engineering, Electrical & Electronic
Yuanhong Zhong, Chenxu Zhang, Fan Ren, Honggang Kuang, Panliang Tang
Summary: In this article, a novel framework called SCS-GNet is proposed, which integrates multiple priors for image compressed sensing. The framework consists of a measurement matrix generator network and a reconstruction generator network. Extensive experiments demonstrate that SCS-GNet achieves adaptive and scalable measurement and reconstruction at different measurement rates and offers competitive performance.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2022)
Article
Computer Science, Artificial Intelligence
Gerhard Zangerl, Markus Haltmeier
Summary: This paper proposes a multiscale factorization for the wave equation to decompose measured data into low-frequency and sparse high-frequency factors. By extending the acoustic reciprocity principle, sparsity in the measurement domain is transferred into spatial sparsity of the initial pressure to enable the use of sparse reconstruction techniques. The numerical results demonstrate the feasibility of the proposed framework.
SIAM JOURNAL ON IMAGING SCIENCES
(2021)
Article
Biochemical Research Methods
Hengrong Lan, Juze Zhang, Changchun Yang, Fei Gao
Summary: In this paper, a novel compressed sensing method for PACT using an untrained neural network was proposed, which can decrease the number of measured channels and recover enough details. This method can cooperate with other existing regularization to further improve the image quality.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Geochemistry & Geophysics
Dengkui Mei, Xiaodong Ren, Xuan Le, Hang Liu, Xiaohong Zhang
Summary: The development of voxel-based computerized ionospheric tomography (CIT) technique is limited by the insufficiency of Global Navigation Satellite System (GNSS) observation. A compressed sensing technique (CST) based on dictionary learning (DL) was proposed for ionospheric tomography in this study. The CST algorithm, using the K-singular value decomposition (K-SVD) algorithm for DL, showed better performance compared to the widely used multiplicative algebraic reconstruction technique (MART).
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Computer Science, Information Systems
Yutong Xie, Quanzheng Li
Summary: This paper reviews recent developments in using deep learning methods to solve the compressed sensing problem in image and medical imaging reconstruction. It proposes a novel framework that combines traditional iterative algorithms and deep learning approaches. The paper also analyzes current deep learning methods and suggests important directions for future research.
Article
Physics, Multidisciplinary
Gopikrishnan Muraleedharan, Akimasa Miyake, Ivan H. Deutsch
NEW JOURNAL OF PHYSICS
(2019)
Article
Physics, Multidisciplinary
Manuel H. Munoz-Arias, Pablo M. Poggi, Poul S. Jessen, Ivan H. Deutsch
PHYSICAL REVIEW LETTERS
(2020)
Article
Physics, Multidisciplinary
Nathan K. Lysne, Kevin W. Kuper, Pablo M. Poggi, Ivan H. Deutsch, Poul S. Jessen
PHYSICAL REVIEW LETTERS
(2020)
Article
Quantum Science & Technology
Manuel H. Munoz-Arias, Ivan H. Deutsch, Pablo M. Poggi
Summary: This paper reexamines well-known protocols in quantum metrology using collective spins and proposes a unified picture for optimal state preparation based on a semiclassical description in phase space. It shows how this framework allows for quantitative predictions of the timescales required to prepare various metrologically useful states, even for moderate system sizes. Furthermore, it establishes a geometric picture that relates optimal entangled probe preparation to the existence of separatrices connecting saddle points in phase space. The results are illustrated with examples of specific Hamiltonians and a generalization to include p-body collective interaction is proposed, along with a proof of a no-go theorem for the local optimality of these models for p > 2.
Article
Optics
Anupam Mitra, Sivaprasad Omanakuttan, Michael J. Martin, Grant W. Biedermann, Ivan H. Deutsch
Summary: This paper revisits the implementation of a two-qubit entangling gate called Mt lmer-St rensen gate using adiabatic Rydberg dressing for neutral atoms. The study shows that rapid adiabatic passage can be achieved through a two-photon transition without the need for an ultraviolet laser, by simply modulating the amplitude of one field with fixed laser frequencies. The results demonstrate that entangling gate fidelities comparable to the one-photon excitation can be achieved with the two-photon excitation. Furthermore, the paper explores how the adiabatic dressing protocol can be used to implement entangling gates beyond the regime of a perfect Rydberg blockade, allowing for fast high-fidelity gates for atoms separated beyond the blockade radius.
Article
Quantum Science & Technology
Karthik Chinni, Manuel H. Munoz-Arias, Ivan H. Deutsch, Pablo M. Poggi
Summary: We research the behavior of errors in quantum simulations of spin systems with long-range multibody interactions resulting from the Trotter-Suzuki decomposition of the time-evolution operator. We find that even small variations in the simulation step size can lead to sharp changes in the Floquet operator, resulting in a proliferation of errors in the quantum simulation. These structural instability regions occur typically at intermediate Trotter step sizes and in the weakly interacting regime. We characterize them in p-spin models and transverse-field Ising models and predict their occurrence based on unitary perturbation theory. We also show that the effective Hamiltonian associated with the Trotter decomposition of the unitary time-evolution operator, when the Trotter step size is chosen to be in the structural instability region, is very different from the target Hamiltonian, explaining the large errors in the simulation.
Article
Optics
Sivaprasad Omanakuttan, Anupam Mitra, Michael J. Martin, Ivan H. Deutsch
Summary: In this study, we investigate the implementation of unitary maps on the nuclear spin of Sr-87, a d = 10 dimensional Hilbert space, using quantum optimal control. The system is found to be controllable through a combination of nuclear spin resonance and a tensor ac Stark shift, solely modulating the phase of a radio-frequency magnetic field. Alkaline-earth-metal atoms like Sr-87 offer favorable characteristics for such control, allowing for high fidelity preparation of arbitrary Haar-random states and SU(10) maps.
Article
Optics
D. Hemmer, E. Montano, B. Q. Baragiola, L. M. Norris, E. Shojaee, I. H. Deutsch, P. S. Jessen
Summary: Squeezing of collective atomic spins has been shown to enhance the sensitivity of atomic clocks and magnetometers significantly below the standard quantum limit, with entanglement generated by either dispersive interaction or state-dependent collisions in a quantum gas. The experiments utilize multilevel atoms to mimic pseudospin-1/2 particles, achieving peak metrological squeezing through quantum backaction from a dispersive quantum non-demolition measurement.
Article
Physics, Multidisciplinary
Karthik Chinni, Pablo M. Poggi, Ivan H. Deutsch
Summary: The research found that estimates of certain quantities in the simulation of a quantum system are more robust to chaotic perturbations than others.
PHYSICAL REVIEW RESEARCH
(2021)
Article
Physics, Fluids & Plasmas
Manuel H. Munoz-Arias, Pablo M. Poggi, Ivan H. Deutsch
Summary: This paper introduces a new type of kicked p-spin models, characterizing their classical nonlinear dynamics and quantum chaos features. It demonstrates that the classification constructed in the classical system also applies to the quantum system.
Article
Quantum Science & Technology
Ivan H. Deutsch
Article
Quantum Science & Technology
Pablo M. Poggi, Nathan K. Lysne, Kevin W. Kuper, Ivan H. Deutsch, Poul S. Jessen
Article
Optics
Manuel H. Munoz-Arias, Ivan H. Deutsch, Poul S. Jessen, Pablo M. Poggi
Article
Optics
Anupam Mitra, Michael J. Martin, Grant W. Biedermann, Alberto M. Marino, Pablo M. Poggi, Ivan H. Deutsch
Article
Optics
Xiaodong Qi, Yuan-Yu Jau, Ivan H. Deutsch