Article
Physics, Multidisciplinary
Farrukh A. Chishtie
Summary: In this work, a new approach for eliminating renormalization scale and scheme dependence in observables is explicated. This approach matches RSS-dependent observables to a theory that is independent of these dependencies, resulting in effective RSS-independent expressions. By matching at a scale at which experimental measurements are determined, an effective theoretical observable is obtained. The approach is illustrated with a study of the cross-section ratio Re+e- for e(+)e(-) -> hadrons and is shown to achieve scale and scheme independence.
FRONTIERS IN PHYSICS
(2022)
Article
Multidisciplinary Sciences
Joseph Maciejko, Steven Rayan
Summary: This study addresses three important questions about band theory on hyperbolic lattices, and rigorously proves a generalized Bloch theorem by formulating periodic boundary conditions for finite lattices. The concept of Brillouin zone is further generalized to the moduli space of higher-rank stable holomorphic vector bundles.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Optics
Davide Nigro
Summary: In this study, an open quantum system of N interacting spin-1/2 particles on a d-dimensional lattice is considered. A neural network representation for the system density operator that explicitly accounts for the system symmetries is defined. The approach is validated by determining the steady state structure of the one-dimensional dissipative XYZ model, showing that the invariant Ansatz defined in the paper is more expressive and can be optimized with lesser numerical efforts compared to a standard RBM.
Review
Physics, Condensed Matter
Antoine Marie, Hugh G. A. Burton, Pierre-Francois Loos
Summary: This article explores the non-Hermitian extension of quantum chemistry in the complex plane and its connection with perturbation theory, with a focus on the physics of exceptional points and the historical research activities in this field. The convergence behavior of perturbative series, including resummation techniques like Pade and quadratic approximants, is discussed, along with their implications in improving accuracy. The versatility of the Hubbard dimer at half filling in understanding analytically-continued perturbation theory in the complex plane is highlighted.
JOURNAL OF PHYSICS-CONDENSED MATTER
(2021)
Article
Multidisciplinary Sciences
Junxu Li, Barbara A. Jones, Sabre Kais
Summary: Perturbation theory is a powerful tool for approximate solutions to complex problems by starting from the exact solution of a simpler problem. Advances in quantum computing have provided opportunities for alternatives to classical methods. We present a general quantum circuit that estimates both energy and eigenstates corrections, which outperforms the classical version in estimating second-order energy corrections. Our work offers a general approach to studying complex systems with quantum devices and can be applied to other Hamiltonian systems in chemistry and physics.
Article
Computer Science, Interdisciplinary Applications
Katharina Boguslawski, Aleksandra Leszczyk, Artur Nowak, Filip Brzek, Piotr Szymon Zuchowski, Dariusz Kedziera, Pawel Tecmer
Summary: PyBEST is a fully-fledged modern electronic structure software package developed at Nicolaus Copernicus University in Torun, providing an efficient and reliable platform for electronic structure calculations at the interface between chemistry and physics. It is written primarily in Python with additional parts in C++, interfaced using Pybind11, and features unique electronic structure methods, analysis tools, and visualization. PyBEST is easy to use, to code, and to interface with other software packages, with modularity allowing for future enhancements and convenient hosting of additional Python packages and software libraries.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Astronomy & Astrophysics
Ludovico T. Giorgini, Ulrich D. Jentschura, Enrico M. Malatesta, Giorgio Parisi, Tommaso Rizzo, Jean Zinn-Justin
Summary: In this study, we verify the obtained analytic results for the O(N)-anharmonic oscillator by numerical calculations of higher-order coefficients. We demonstrate a significant improvement in the agreement between large-order asymptotic estimates and perturbation theory when incorporating two-loop corrections to the large-order behavior.
Article
Mathematics
Manuel Gonzalez, Antonio Martinez-Abejon, Antonio Martinon
Summary: This paper investigates disjointly non-singular operators from a Banach lattice to a Banach space, including improved results for L-p with 1<p<infinity, and demonstrates the different behaviors of DN-S operators in the cases of p = 2 and p not equal to 2. As an application, it is proven that strongly embedded subspaces of L-p form an open subset within the set of all closed subspaces.
JOURNAL OF FUNCTIONAL ANALYSIS
(2021)
Review
Physics, Multidisciplinary
Marcela Pelaez, Urko Reinosa, Julien Serreau, Matthieu Tissier, Nicolas Wschebor
Summary: Lattice simulations in the Landau gauge have shown that the coupling constant in the QCD sector remains finite and moderate at all scales, while the gluon propagator reaches a finite nonzero value at vanishing momentum. Studies have successfully described infrared QCD dynamics using the perturbative Curci-Ferrari model, with calculations showing good agreement with lattice simulations. The approach has also been applied to scenarios with dynamical quarks, showing controlled approximation schemes can account for chiral symmetry breaking. Applications to nonzero temperature and chemical potential have also been explored.
REPORTS ON PROGRESS IN PHYSICS
(2021)
Article
Physics, Mathematical
Norio Konno, Kaname Matsue, Etsuo Segawa
Summary: In this paper, we propose an intermediate walk method that connects an open quantum random walk and a quantum walk, and observe the intermediate behavior through numerical simulations with different parameters. Specifically, we find that even in a small range of parameters, the typical behavior of quantum walks can be observed.
JOURNAL OF STATISTICAL PHYSICS
(2023)
Article
Chemistry, Multidisciplinary
Igor Mekterovic, Gabrijela Svalina, Senad Isakovic, Maja Micetic
Summary: This paper presents an open software platform called GisaxStudio for the analysis of GISAXS maps from 3D lattices of nanoparticles. The platform contains various models that satisfactorily describe GISAXS from 3D lattices or crystals of nanoparticles prepared using self-assembly processes, pre-pattering, or ion-beam interaction.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
Xiangzhong Zeng, Lyuzhou Ye, Daochi Zhang, Rui-Xue Xu, Xiao Zheng, Massimiliano Di Ventra
Summary: Measuring local temperatures of open systems out of equilibrium is a novel approach to study the local thermodynamic properties of nanosystems. An operational protocol has been proposed to determine the unique local temperature by minimizing perturbations to a certain local observable. The influence of quantum resonances on the local temperature in multi-impurity chains under a thermal bias is elucidated through analytical and numerical results.
Article
Astronomy & Astrophysics
Marcela Carena, Erik J. Gustafson, Henry Lamm, Ying-Ying Li, Wanqiang Liu
Summary: This work derives perturbative relations between bare and renormalized quantities in Euclidean spacetime, under different anisotropy factors, for U(N) and SU(N). It reduces the classical preprocessing required for quantum simulations and shows agreement with previous nonperturbative determinations of anisotropy.
Article
Astronomy & Astrophysics
Cihan Pazarbasi
Summary: A recursive procedure based on the small time expansion of the propagator is used to generate a semiclassical expansion of the quantum action for a quantum mechanical potential in arbitrary dimensions, using spectral information from the propagator singularities on the complex t plane. This feature allows for generalization to higher dimensions, and is illustrated with simple examples in nonrelativistic quantum mechanics.
Article
Mathematics, Applied
Veronica Danesi, Marco Sansottera, Simone Paleari, Tiziano Penati
Summary: This paper investigates the continuation with respect to a small parameter ε of spatially localized and time periodic solutions in 1-dimensional dNLS lattices. The study applies a normal form algorithm to explore the continuation and linear stability of degenerate localized periodic orbits on lower and full dimensional invariant resonant tori.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Physics, Multidisciplinary
Helin Zhang, Srivatsan Chakram, Tanay Roy, Nathan Earnest, Yao Lu, Ziwen Huang, Jens Koch, David Schuster, D. K. Weiss
Summary: The heavy-fluxonium circuit shows promise as a building block for superconducting quantum processors due to its long relaxation and dephasing time at the flux-frustration point. New protocols have been developed for reset, fast coherent control, and readout to enable high-quality operation of the qubit with 14 MHz transition frequency, significantly lower than the ambient thermal energy scale. By utilizing higher levels of the fluxonium and nonadiabatic Landau-Zener transitions, fast and high-fidelity single-qubit gates have been achieved with measurements of qubit coherence and average gate fidelity.
Article
Multidisciplinary Sciences
Jeffrey M. Gertler, Brian Baker, Juliang Li, Shruti Shirol, Jens Koch, Chen Wang
Summary: In this study, a logical qubit encoded in multi-photon states of a superconducting cavity is protected with autonomous correction of certain quantum errors by tailoring the dissipation it is exposed to. The passive protocol implemented with continuous-wave control fields autonomously corrects single-photon-loss errors and increases the coherence time of the bosonic qubit by over a factor of two. This approach offers a resource-efficient alternative or supplement to active QEC in future quantum computing architectures.
Article
Physics, Applied
Thomas Propson, Brian E. Jackson, Jens Koch, Zachary Manchester, David I. Schuster
Summary: The ability to engineer high-fidelity gates remains a primary challenge in achieving quantum advantage. This study proposes a robust trajectory optimization technique using forward-mode differentiation to suppress gate errors. It also utilizes a computationally efficient model and optimal control to achieve high-fidelity gates in the presence of depolarization. The techniques successfully suppress simulated gate errors due to parameter uncertainty.
PHYSICAL REVIEW APPLIED
(2022)
Article
Chemistry, Analytical
Anton V. Bourdine, Vladimir V. Demidov, Artem A. Kuznetsov, Alexander A. Vasilets, Egishe V. Ter-Nersesyants, Alexander V. Khokhlov, Alexandra S. Matrosova, Grigori A. Pchelkin, Michael V. Dashkov, Elena S. Zaitseva, Azat R. Gizatulin, Ivan K. Meshkov, Airat Zh. Sakhabutdinov, Eugeniy V. Dmitriev, Oleg G. Morozov, Vladimir A. Burdin, Konstantin V. Dukelskii, Yaseera Ismail, Francesco Petruccione, Ghanshyam Singh, Manish Tiwari, Juan Yin
Summary: This work presents the design and fabrication of a silica few-mode optical fiber with induced twisting and improved refractive index profile. The fiber supports 4 guided modes over the C-band and has been tested for its mode properties after fiber Bragg grating writing.
Article
Quantum Science & Technology
Carsten Blank, Adenilton J. da Silva, Lucas P. de Albuquerque, Francesco Petruccione, Daniel K. Park
Summary: Quantum computing offers exciting opportunities for kernel-based machine learning methods, allowing efficient construction of classifier models through quantum interference effects. To make these methods practical, it is important to minimize circuit size and handle imbalanced data sets.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Betony Adams, Ilya Sinayskiy, Rienk van Grondelle, Francesco Petruccione
Summary: The SARS-CoV-2 pandemic has made the study of viral mechanisms more urgent, and quantum biology may provide important insights into the virus-host invasion process. Research suggests that quantum tunnelling may be relevant to SARS-CoV-2 infection.
SCIENTIFIC REPORTS
(2022)
Article
Optics
Shweta Mittal, Ankur Saharia, Yaseera Ismail, Francesco Petruccione, Anton V. Bourdine, Oleg G. Morozov, Vladimir V. Demidov, Juan Yin, Ghanshyam Singh, Manish Tiwari
Summary: This work presents the design and simulation of an all-optical sensor based on surface plasmon resonance effect on a spiral shaped photonic crystal fiber structure for detection of different cancer cells. The sensor showed high sensitivity and resolution for detecting breast cancer cells, with potential applications for detecting other types of cancer such as cervical cancer, skin cancer, blood cancer, and adrenal gland cancer.
Article
Materials Science, Multidisciplinary
Anton V. Bourdine, Vladimir V. Demidov, Konstantin V. Dukelskii, Alexander V. Khokhlov, Egishe V. Ter-Nersesyants, Sergei V. Bureev, Alexandra S. Matrosova, Grigori A. Pchelkin, Artem A. Kuznetsov, Oleg G. Morozov, Ilnur I. Nureev, Airat Zh. Sakhabutdinov, Timur A. Agliullin, Michael V. Dashkov, Alexander S. Evtushenko, Elena S. Zaitseva, Alexander A. Vasilets, Azat R. Gizatulin, Ivan K. Meshkov, Yaseera Ismail, Francesco Petruccione, Ghanshyam Singh, Manish Tiwari, Juan Yin
Summary: This article presents a fabricated silica few-mode microstructured optical fiber (MOF) with a special six GeO2-doped core geometry. The fiber has an outer diameter of 125 mu m and improved induced twisting up to 500 revolutions per 1 m. The article discusses the technological aspects and issues of manufacturing twisted MOFs with complicated structures and geometry.
Article
Quantum Science & Technology
Israel F. Araujo, Daniel K. Park, Teresa B. Ludermir, Wilson R. Oliveira, Francesco Petruccione, Adenilton J. da Silva
Summary: The theory of quantum algorithms promises the benefits of using the laws of quantum mechanics to solve computational problems. However, a prerequisite for applying these algorithms is loading classical data onto a quantum state. Existing methods either require linear growth in quantum circuit depth or width, nullifying the advantage of representing exponentially many classical data in a quantum state. This paper presents a configurable bidirectional procedure that balances the trade-off between quantum circuit width and depth, allowing for sublinear growth when encoding N-dimensional classical data.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Quantum Science & Technology
Evan Peters, Prasanth Shyamsundar, Andy C. Y. Li, Gabriel Perdue
Summary: As quantum computers with large numbers of qubits become more available, it is important to efficiently select a subset of high-performing physical qubits for executing quantum programs. In this research, we propose a practical solution to the problem of qubit assignment using simulated annealing and a cost function based on the reversibility of a quantum process. The use of Loschmidt echoes and simulated annealing provides a scalable and flexible approach to optimizing qubit assignment on near-term hardware, as demonstrated through theoretical justification, experimental validation, and classical simulations.
Article
Physics, Multidisciplinary
Kimara Naicker, Ilya Sinayskiy, Francesco Petruccione
Summary: The hierarchical equations of motion (HEOM) are used to simulate the dynamics of an open quantum system, and a classical machine learning (ML) approach is employed to solve the computational problem. The ML models, including convolutional neural networks, are capable of accurately predicting Hamiltonian parameters with a 99.28% accuracy rate.
PHYSICAL REVIEW RESEARCH
(2022)
Article
Optics
Vinayak Jagadish, R. Srikanth, Francesco Petruccione
Summary: This article studies the convex combinations of (d+1)-generalized Pauli dynamical maps in a Hilbert space of dimension d. It is found that for certain choices of the decoherence function, the maps are noninvertible and this noninvertibility remains under convex combinations. We evaluate the fraction of invertible maps obtained upon mixing for dynamical maps characterized by a specific decoherence function, and observe that this fraction increases superexponentially with dimension d.
Article
Astronomy & Astrophysics
A. Baroni, J. Carlson, R. Gupta, Andy C. Y. Li, G. N. Perdue, A. Roggero
Summary: The calculation of dynamic response functions is expected to benefit from rapidly developing quantum hardware resources and offers potential applications in analyzing real-time quantities of strongly correlated quantum systems. The calculation of response functions for fermionic systems at moderate momenta and energies is a promising early application due to nearly local relevant operators and the ability to resolve energies in moderately short real time.
Article
Optics
Vinayak Jagadish, R. Srikanth, Francesco Petruccione
Summary: This study investigates the conditions under which a semigroup is obtained by convex combinations of channels, specifically focusing on the set of Pauli and generalized Pauli channels. The findings show that merely mixing semigroups cannot result in a semigroup. Contrary to intuition, it is discovered that for a convex combination to yield a semigroup, the majority of input channels must be noninvertible.
Proceedings Paper
Computer Science, Artificial Intelligence
Shivani Mahashakti Pillay, Ilya Sinayskiy, Edgar Jembere, Francesco Petruccione
Summary: This study demonstrates the principle of quantum-kernel-based classifiers applied to non-linearly separable datasets. By applying different post-processing strategies to the kernel matrices, the accuracy of the classifiers can be improved. Quantum-kernel-based classifiers show high effectiveness in the Noisy Intermediate Scale Quantum (NISQ) computing era.
ARTIFICIAL INTELLIGENCE RESEARCH, SACAIR 2021
(2022)
