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Research Topics in High Performance and Quantum Computing

UC_Berkeley_101020A
[University of California at Berkeley]
 
 

1. High Performance Computing, Technology, and Applications

-- Supercomputing

  • Commodity cluster supercomputing
  • Super computing capability for big data modeling 
  • HPC and Big Data application studies on large-scale clusters 
  • New applications for converged HPC/big data clusters 
  • Big data processing in parallel and distributed computing
  • Novel algorithms on clusters and performance evaluation tools 
  • Application-level libraries on clusters 
  • Effective use of clusters in novel applications
  • Node and system architecture for HPC and Big Data clusters
  • Architecture for converged HPC/Big Data clusters 
  • Energy-efficient cluster architectures 
  • Accelerators/ManyCore and heterogeneous clusters 
  • Interconnect/memory architectures 
  • Single system/distributed image clusters 
  • Accelerators/ManyCore and heterogeneous clusters 
  • Cluster system software/operating systems 
  • Fault-tolerant computing
  • Programming models for converged HPC/Big Data systems 
  • System software supporting the convergence of HPC and Big Data processing 
  • Cloud-enabling cluster technologies and virtualization 
  • Cluster system-level protocols and APIs, middleware for Big Data management
  • Cluster security, resource and job management, fault tolerance and high-availability
  • Programming and software development environments on clusters 
  • Cluster architectures for Big Data storage and processing
  • Cluster-based cloud architectures for Big Data 
  • Storage systems supporting the convergence of HPC and Big Data processing 
  • Big data visualization tools 
  • Programming models for big data processing 
  • Big data application studies on cluster architectures

-- Optical Computing 

  • The physics of optical computing
  • Optical processing architecture
  • Nonlinear processing with linear optics
  • Photonic integrated circuits
  • Spatial light modulators
  • Artificial intelligence acceleration using photonic computing
  • Field computation
  • Analog optical computing for AI
  • Quantum computing integration with optics
  • Photonic in-memory computing 
  • Optical, photonics and quantum neural networks, machine learning, reservoir computing
  • Optical and photonics logic components, processors and optimisers
  • Optical, photonics and quantum data storage and encryption
  • Enabling materials and devices
  • Computing architectures, e.g., Ising machines, free-space optics, programmable photonic circuits
  • Challenges in the practical implementation and integration of platforms for optical computing
  • Novel optical computing applications in image processing, signal processing, radio communications, fiber transmission, cryptography, sensing and more.
 

2. Quantum Science and Engineering

  • Research Topics in New Materials 
  • High Energy Physics
  • Quantum Mechanics 

  • Quantum Entanglement 

  • Quantum Superposition 

  • Quantum Tunnelling

  • Quantum Algorithms & Applications
  • Quantum Systems in Physics, Chemistry and Biology
  • Quantum Computing Systems & Architecture
  • Quantum Information Hardware and Devices
  • Quantum Information Theory
  • Quantum Materials (Experiments)
  • Quantum Materials (Theory)
  • Quantum Optics
  • Quantum Sensing
  • Quantum Simulation


3. Quantum Computing, Technology and Communications

  • Quantum supremacy, quantum primacy or quantum advantage
  • Quantum computing
  • Hybrid quantum computing
  • Distributed quantum computing
  • Qubit-photon interface  
  • Programmable quantum processors
  • Quantum processors
  • Quantum sensors 
  • Quantum simulation 
  • Quantum metrology 
  • quantum imaging
  • Quantum security technologies
  • Quantum cryptography
  • Quantum error-correcting codes
  • Fault-tolerant quantum computation
  • Quantum information theory
  • Quantum communications and Internet
  • Quantum cloud computing
  • Programmable quantum processors
  • Quantum entanglement distillation
  • Quantum simulations and computing 
  • Quantum communication networks 
  • Quantum Technology for 5G/6G 
  • Quantum-based secure communication schemes 
  • Quantum authentication protocols 
  • Quantum blockchain 
  • Quantum technology for big data analytics 
  • Quantum technology for secure IoT applications 
  • Quantum machine learning for secure communications 
  • Quantum image processing and enhancements (image encoding, edge detection, image segmentation, etc.) 
  • Development of classical software for simulating and testing quantum communication techniques 
  • Novel AI and quantum-based architectures, frameworks, and testbeds for 6G 
  • Intelligent spectrum management in 5G/6G using quantum technology 
  • Breakthrough technologies and concepts 
  • Reconfigurable antennas and devices for the next generation 
  • Innovative AI, quantum technology and 6G-enabled user applications 
  • AI and quantum applications for the physical layer of wireless communications
  • Space-based quantum computing

 

4. Quantum Information Science

  • Quantum and Quantum mechanics
  • Quantum physics
  • Quantum chemistry
  • Quantum computational chemistry
  • Quantum biology
  • Quantum field theory
  • Quantum theory
  • Quantum system
  • Isolated quantum system
  • Quantum effects
  • Quantum resource
  • Quantum state
  • Wave function
  • Linear algebra
  • Quantum information
  • Quantum bit — qubit
  • Logical qubit
  • Stationary, flying, and shuttling qubits
  • Measurement / observation
  • Observable
  • Quantum phenomena
  • Macroscopic quantum phenomena
 

5. Quantum Artificial Intelligence

  • The synergy between quantum computing and AI
  • Artificial intelligence and quantum physics
  • Quantum machine learning
  • Quantum-inspired soft computing
  • Hybrid classical-quantum neural network models
  • Qubit- and qutrit-based quantum-inspired neural network models
  • Quantum optimization
  • Hybrid classical-quantum algorithms
  • Variational quantum algorithms
  • Quantum metaheuristics
 

 6. Applications of Quantum Simulation

  • Understanding large quantum systems
  • Understanding protein folding
  • Developing high-temperature superconductors
  • Finding chemical catalysts to remove CO from the atmosphere
  • Developing materials for practical applications of spintronics
  • Drug discovery, design, and development
  • Electronic materials design and development
  • Better batteries 

 

 

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