A5066836248- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Quantum optics and atomic interactions
- Quantum and electron transport phenomena
- Quantum-Dot Cellular Automata
- Advanced Multi-Objective Optimization Algorithms
- VLSI and FPGA Design Techniques
- Parallel Computing and Optimization Techniques
- Advanced optical system design
- Advanced MEMS and NEMS Technologies
- Machine Learning in Materials Science
- Semiconductor Lasers and Optical Devices
- Quantum Mechanics and Applications
- Infrared Target Detection Methodologies
- Cognitive Abilities and Testing
- Mental Health Research Topics
- Neural Networks and Reservoir Computing
- Advanced Data Storage Technologies
- Metaheuristic Optimization Algorithms Research
- Photonic and Optical Devices
- Cold Atom Physics and Bose-Einstein Condensates
- Neural and Behavioral Psychology Studies
- Advanced Thermodynamics and Statistical Mechanics
- Spectroscopy Techniques in Biomedical and Chemical Research
- CCD and CMOS Imaging Sensors
Georgia Institute of Technology
2023-2024
Duke University
2007-2019
Applied Quantum Technologies (United States)
2013
Trapped atomic ions are standards for quantum information processing, serving as memories, hosts of gates in computers and simulators, nodes communication networks. Quantum bits based on trapped enjoy a rare combination attributes: They have exquisite coherence properties, they can be prepared measured with nearly 100% efficiency, readily entangled each other through the Coulomb interaction or remote photonic interconnects. The outstanding challenge is scaling to hundreds thousands qubits...
The practical construction of scalable quantum-computer hardware capable executing nontrivial quantum algorithms will require the juxtaposition different types systems. We analyze a modular ion trap architecture with hierarchy interactions that can scale to very large numbers qubits. Local entangling gates between qubit memories within single register are accomplished using natural qubits, and entanglement separate registers is completed via probabilistic photonic interface qubits in...
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...
A collection of trapped atomic ions represents one the most attractive platforms for quantum simulation interacting spin networks and magnetism. Spin-dependent optical dipole forces applied to an ion crystal create long-range effective spin-spin interactions allow Hamiltonians that possess nontrivial phases dynamics. Here we show how appropriate design laser fields can provide arbitrary multidimensional interaction graphs even case a linear spatial array ions. This scheme uses currently...
Abstract Quantum computing as the emerging paradigm for scientific has attracted significant research attention in past decade. algorithms to solve problems of linear systems, eigenvalue, optimization, machine learning, and others have been developed. The main advantage utilizing quantum computer optimization is that superposition allows massive parallel searching solutions. This article provides an overview fundamental can be utilized solving problems, including Grover search, phase...
The RAW benchmark suite consists of twelve programs designed to facilitate comparing, validating, and improving reconfigurable computing systems. These benchmarks run the gamut algorithms found in general purpose computing, including sorting, matrix operations, graph algorithms. includes an architecture-independent compilation framework, Raw Computation Structures (RawCS), express each algorithm's dependencies support automatic synthesis, partitioning, mapping a computer. Within this is...
System requirements for many military electro-optic and IR camera systems reflect the need both wide-field-of-view situational awareness as well high-resolution imaging target identification. In this work we present a new system architecture designed to perform functions simultaneously AWARE 10 an example at visible wavelengths. We first describe basic user interface followed by laboratory characterization of optical performance. then field experiment in which was used identify several...
The searching efficiency of the quantum approximate optimization algorithm is dependent on both classical and sides algorithm. Recently, a Bayesian (QABOA) that includes two mixers was developed, where surrogate-based applied to improve sampling optimizer. A continuous-time walk mixer used enhance exploration, generalized Grover also exploitation. In this article, an extension QABOA proposed further its efficiency. enhanced through aspects. First, mixers, including one for exploration other...
The first generation of quantum computers are on the horizon, fabricated from hardware platforms that may soon be able to tackle certain tasks cannot performed or modelled with conventional computers. These devices will not likely universal fully programmable, but special-purpose processors whose tightly co-designed particular target applications. Trapped atomic ions a leading platform for computers, also fundamentally scalable more powerful general purpose in future generations. This is...
Extension of coded apertures to the MWIR introduces effects diffraction and other distortions not observed in shorter wavelength systems. A new approach is being developed under DARPA/SPO funded LACOSTE (Large Area Coverage Optical search-while Track Engage) program, that addresses while gaining benefits apertures, thus providing flexibility vary resolution, possess sufficient light gathering power, achieve a wide field view (WFOV). The photonic MEMS "eyelid" array technology currently...
Humans learn adaptive behaviors via a durable but incremental reinforcement-learning (RL) system and fast fleeting working memory (WM) system. Past work parsing these systems focused on reward learning alone. Hence, little is known about how they interact while simultaneously to avoid punishment, whether arbitrating between demands disrupted by psychiatric symptoms. We administered novel reward/punishment RL-WM task an online sample oversampled for depression anxiety symptoms (N=298; n=275...
Quantum scientific computing has emerged as a new paradigm to solve difficult problems on quantum computers. One of them is topology optimization, which computationally expensive because the combinatorial optimization problem and partial differential equations need be solved simultaneously. In this paper, we propose novel variational algorithm for through entanglement. Two registers are used encode optimal configurations solutions physical constraints, respectively. The tasks finding...
The searching efficiency of the quantum approximate optimization algorithm is dependent on both classical and sides algorithm. Recently a Bayesian (QABOA) that includes two mixers was developed, where surrogate-based applied to improve sampling optimizer. A continuous-time walk mixer used enhance exploration, generalized Grover also exploitation. In this paper, an extension QABOA proposed further its efficiency. enhanced through aspects. First, mixers, including one for exploration other...
Abstract Despite its wide scope of applications, topology optimization faces a major challenge, which is high computational expenses caused by the large number design variables and underlying physics. Because possible material layouts increases exponentially, search for optimum becomes computationally intractable. Recently, quantum computing emerged as an alternative paradigm solving problems with potentially much higher efficiency than classical computing. The superposition phenomenon...