- Quantum Computing Algorithms and Architecture
- Cold Atom Physics and Bose-Einstein Condensates
- Quantum Information and Cryptography
- Quantum, superfluid, helium dynamics
- Quantum Mechanics and Applications
- Parallel Computing and Optimization Techniques
- Quantum and electron transport phenomena
- Physics of Superconductivity and Magnetism
- Magnetic Properties and Applications
- Neural Networks and Reservoir Computing
- Optical properties and cooling technologies in crystalline materials
- Advanced Condensed Matter Physics
- Theoretical and Computational Physics
- Nuclear Materials and Properties
- Fuzzy and Soft Set Theory
- Superconducting Materials and Applications
- Gyrotron and Vacuum Electronics Research
- Superconducting and THz Device Technology
- Magnetic properties of thin films
- Microwave Dielectric Ceramics Synthesis
- Cloud Computing and Resource Management
- Atomic and Subatomic Physics Research
- Corrosion Behavior and Inhibition
- Nuclear reactor physics and engineering
- Advanced Thermodynamics and Statistical Mechanics
University of Wisconsin–Madison
1969-2022
Rigetti Computing (United States)
2017-2020
General Motors (United States)
2005
Sweet Briar College
1986
Washington State Department of Agriculture
1986
United States Department of Agriculture
1986
University of Richmond
1986
Embassy of Canada in Washington, D.C
1986
University of Pennsylvania
1956-1986
Gas Turbine Research Establishment
1968
Harnessing techniques from analog signal processing, we establish a new path for large-scale quantum computation.
We introduce an abstract machine architecture for classical/quantum computations---including compilation---along with a quantum instruction language called Quil explicitly writing these computations. With this formalism, we discuss concrete implementations of the and non-trivial algorithms targeting them. The introduction dovetails ongoing development computing technology, makes possible portable descriptions recent algorithms.
Machine learning techniques have led to broad adoption of a statistical model computing. The distributions natively available on quantum processors are superset those classically. Harnessing this attribute has the potential accelerate or otherwise improve machine relative purely classical performance. A key challenge toward that goal is hybridize computing resources and traditional with emerging capabilities general purpose processors. Here, we demonstrate such hybridization by training...
The magnetic properties of thin films ferromagnetic materials have been studied by means the Bloch spin-wave theory. spontaneous magnetization depends upon number atomic layers, ${G}_{z}$, in film. For thicknesses below a "critical" thickness, which on temperature and film dimensions, decreases rapidly as layers is decreased. dependence varies from ${T}^{\frac{3}{2}}$ law for very thick to linear function $T$ monolayer magnetization, at fixed dimension increases.
A central challenge in building a scalable quantum computer with superconducting qubits is the execution of high-fidelity two-qubit gates presence many resonant elements. As more elements are added to architecture, and as multiplicity their couplings grows, design's frequency space becomes crowded, performance suffers. The authors present way address this difficulty: selective activation interactions between transmon fixed those tunable frequency. This depends on both amplitude modulation,...
In order to support near-term applications of quantum computing, a new compute paradigm has emerged--the quantum-classical cloud--in which computers (QPUs) work in tandem with classical (CPUs) via shared cloud infrastructure. this work, we enumerate the architectural requirements platform, and present framework for benchmarking its runtime performance. addition, walk through two platform-level enhancements, parametric compilation active qubit reset, that specifically optimize architecture...
The wall motion coercive force Hc and the rotational Hr of thin electroplated nickel-iron films are studied as a function film roughness. Three types roughness considered : first, periodic with wavelength large compared to domain width an amplitude small thickness; second, order size wall; third, substrate that is thickness. H c was found be related thickness according = CsD+n. This observation predicted by Néel, except his assumption form only first kind led single value for n −43. Electron...
For a native gate set which includes all single-qubit gates, we apply results from symplectic geometry to analyze the spaces of two-qubit programs accessible within fixed number gates. These techniques yield an explicit description this subspace as convex polytope, presented by family linear inequalities themselves via finite calculation. We completely describe in variety familiar example cases, and consequence highlight certain member ``<mml:math...
Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of power near-term applications. Performing nontrivial tasks in such requires a fundamentally different approach than what would be used on error-corrected computer. One is to use hybrid algorithms, where problems reduced parameterized circuit that often optimized classical feedback loop. Here we describe one algorithm machine learning by building upon known as random kitchen sinks. Our technique,...
Quilc is an open-source, optimizing compiler for gate-based quantum programs written in Quil or QASM, two popular programming languages. The was designed with attention toward NISQ-era computers, specifically recognizing that each gate has a non-negligible and often irrecoverable cost program's successful execution. Quilc's primary goal to make authoring software simpler exercise by making architectural details less burdensome the author. Using allows one write faster while usually not...
Determination of crystallite size and strain in permalloy films is being undertaken as part a research program to relate the magnetic properties electroplated their structural properties.
A 21-km horizontal very-low frequency (VLF) antenna has been constructed at Siple Station, Antarctica. This is to be used inject VLF waves into the magnetosphere in order perform wave particle interaction experiments. In present paper, properties of this are analyzed and its impedance efficiency calculated. The electrical ice layer beneath modeled. represented by several layers, each with a different dielectric constant conductivity. variational method due Galejs [2] for an stratified used....
A method for measuring the dielectric constant and conductivity of powders is described. Numerous formulas earlier workers pertaining to porous media low density are discussed. It then shown that these relations incorrectly predict a value intrinsic which function density. In an effort develop formula would correctly dependence at least medium range densities, calculation presented expresses effective given system as particle shape, constant, powdered density, packing properties composed...
Coercive forces (H e ) of Fe–Ni films were observed to depend on thickness, Fe/Ni ratio, and preferred crystal orientation in accordance with predictions based the Behringer–Smith model. Annealing induces marked growth [111] axis normal plane Ni-rich (> 80% Ni), but only moderate Fe-rich (< Ni) films. H for increases markedly while iron-rich decreases slightly due annealing. Variations anisotropy field, k , applied stress, indicate that reduction results from increase is orientation.