A5035070699- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
- Quantum optics and atomic interactions
- Laser-Matter Interactions and Applications
- Mechanical and Optical Resonators
- Advanced Fiber Laser Technologies
- Advanced Photonic Communication Systems
- Optical Network Technologies
- Refrigeration and Air Conditioning Technologies
- Heat Transfer and Optimization
- Cognitive Science and Education Research
- Blind Source Separation Techniques
- Neural Networks and Reservoir Computing
- Spectroscopy and Quantum Chemical Studies
- Cold Atom Physics and Bose-Einstein Condensates
- Advanced Optical Network Technologies
- Advanced Frequency and Time Standards
- Solid State Laser Technologies
- Advanced Multi-Objective Optimization Algorithms
IonQ (United States)
2019-2021
University of Maryland, College Park
2011-2018
Joint Quantum Institute
2011-2018
Joint Center for Quantum Information and Computer Science
2017-2018
National Institute of Standards and Technology
2011-2017
Wilfrid Laurier University
2009-2010
Indian Institute of Technology Indore
2010
Indian Institute of Technology Bombay
2008-2009
University of Calgary
2009
We run a selection of algorithms on two state-of-the-art 5-qubit quantum computers that are based different technology platforms. One is publicly accessible superconducting transmon device with limited connectivity, and the other fully connected trapped-ion system. Even though systems have native interactions, both can be programmed in way blind to underlying hardware, thus allowing first comparison identical between physical systems. show circuits employ more connectivity clearly benefit...
Abstract Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular nuclear structure, simulating strongly interacting electron systems, modeling aspects material function. While substantial theoretical advances have been made in mapping these algorithms, there remains a large gap between resource requirements solving such capabilities...
The field of quantum computing has grown from concept to demonstration devices over the past 20 years. Universal offers efficiency in approaching problems scientific and commercial interest, such as factoring large numbers, searching databases, simulating intractable models physics, optimizing complex cost functions. Here, we present an 11-qubit fully-connected, programmable computer a trapped ion system composed 13 $^{171}$Yb$^{+}$ ions. We demonstrate average single-qubit gate fidelities...
The Grover quantum search algorithm is a hallmark application of computer with well-known speedup over classical searches an unsorted database. Here, we report results for complete three-qubit using the scalable computing technology trapped atomic ions, better-than-classical performance. Two methods state marking are used oracles: phase-flip method employed by other experimental demonstrations, and Boolean requiring ancilla qubit that directly equivalent to scheme required perform search. We...
We demonstrate entangling quantum gates within a chain of five trapped ion qubits by optimally shaping optical fields that couple to multiple collective modes motion. individually address with segmented pulses construct multipartite entangled states in programmable way. This approach enables high-fidelity can be scaled larger qubit registers for computation and simulation.
We show the fault-tolerant encoding, measurement, and operation of a logical qubit via quantum error detection.
Abstract Quantum machine learning has seen considerable theoretical and practical developments in recent years become a promising area for finding real world applications of quantum computers. In pursuit this goal, here we combine state-of-the-art algorithms hardware to provide an experimental demonstration application with provable guarantees its performance efficiency. particular, design Nearest Centroid classifier, using techniques efficiently loading classical data into states performing...
We analyze the relationship between tripartite entanglement and genuine nonlocality for three-qubit pure states in Greenberger-Horne-Zeilinger class. consider a family of known as generalized derive an analytical expression relating three-tangle, which quantifies entanglement, to Svetlichny inequality, is Bell-type inequality that violated only when all three qubits are nonlocally correlated. show with three-tangle less than $1/2$ do not violate inequality. On other hand, set maximal slice...
We demonstrate a simple pulse shaping technique designed to improve the fidelity of spin-dependent force operations commonly used implement entangling gates in trapped-ion systems. This extension M{\o}lmer-S{\o}rensen gate can theoretically suppress effects certain frequency and timing errors any desired order is demonstrated through Walsh modulation two-qubit on trapped atomic ions. The applicable system qubits coupled collective harmonic oscillator modes.
Abstract Efficiently entangling pairs of qubits is essential to fully harness the power quantum computing. Here, we devise an exact protocol that simultaneously entangles arbitrary on a trapped-ion computer. The requires classical computational resources polynomial in system size, and very little overhead control compared single-pair case. We demonstrate exponential improvement both over current state art. implement software-defined computer, where reconfigure computer architecture demand....
The local phonon modes in a Coulomb crystal of trapped ions can represent Hubbard system coupled bosons. We selectively prepare single excitations at each site and observe free hopping boson between sites, mediated by the long-range interaction ions. then implement blockades on targeted sites driving Jaynes-Cummings individually addressed to couple their internal spin mode. resulting dressed states have energy splittings that be tuned suppress into site. This new experimental approach opens...
We stabilize a chosen radio frequency beat note between two optical fields derived from the same mode-locked laser pulse train in order to coherently manipulate quantum information. This scheme does not require access or active stabilization of repetition rate. implement and characterize this external lock, context two-photon stimulated Raman transitions hyperfine ground states trapped 171Yb(+) bits.
Quantum computing leverages the quantum resources of superposition and entanglement to efficiently solve computational problems considered intractable for classical computers. Examples include calculating molecular nuclear structure, simulating strongly-interacting electron systems, modeling aspects material function. While substantial theoretical advances have been made in mapping these algorithms, there remains a large gap between resource requirements solving such capabilities currently...
We investigate genuine multiqubit nonlocality in families of entangled 3- and 4-qubit pure states by analyzing a Bell-type inequality that is violated only if all qubits are nonlocally correlated. present detailed numerical studies the relationship between entanglement violation Svetlichny an experimentally accessible set 3-qubit states, identify special property maximal slice space states. also analyze nonlocal correlations generalized Greenberger–Horne–Zeilinger (GHZ) extend our analysis...
Trapped atomic ions are standards for quantum information processing, as all of the fundamental operations have been demonstrated in small collections atoms. Current work is concentrated on scaling ion traps to larger numbers interacting qubits and generation massive entangled states. We discuss progress networking trapped ions, using Coulomb interaction demonstrations simple simulations magnetism, ultrafast laser pulses entanglement, finally probabilistic photonic interactions bridge...
Summary form only given. Last year saw the first quantum computers realized that can be programmed from a high level user interface to run arbitrary algorithms [1, 2]. While these devices are still small in scale, comprising handful of qubits each, they nevertheless allow implementation circuits way is basically blind underlying hardware itself. This constitutes new development computer technology for two leading approaches, trapped atomic ions [1] and superconducting [3]. It also gives us...
Quantum machine learning has seen considerable theoretical and practical developments in recent years become a promising area for finding real world applications of quantum computers. In pursuit this goal, here we combine state-of-the-art algorithms hardware to provide an experimental demonstration application with provable guarantees its performance efficiency. particular, design Nearest Centroid classifier, using techniques efficiently loading classical data into states performing distance...