New MURI Conception Workshop on ÒQuantum and AIÓ

Abstract

Quantum information science and engineering (QISE) and Artificial Intelligence (AI) both are highly interdisciplinary emerging disciplines that have tremendous potential of societal impact. The objective of this proposed workshop is to explore a new MURI topic that might explore connections between quantum information processing and artificial intelligence (e.g., neural networks and other machine learning paradigms), and deepen the understanding of the confluence of ideas from both disciplines to realize high-impact applications in near-term realizable hardware platforms, such as: (1) Superconducting quantum circuits, including unconventional architectures, using multimode bosonic codes, annealing-specific platforms. (2) linear-optical quantum computing platforms, including Ònon-conventionalÓ yet scalable architectures that exploit high-dimensional encodings combining spatial/spectral degrees of freedom; and possibly also less-explored Ònot universalÓ architectures such as the OPO network based optimization engines. (3) Trapped ion quantum processors, capable of emulating Ising-like Hamiltonians, which could be used to encode AI-inspired optimization problems. The workshop will bring together experts from computer science, computer networking, quantum optics, quantum computing, photonic quantum information systems, quantum information theory, quantum and classical algorithmic complexity theory, spin-based quantum systems, trapped ion and superconducting quantum systems, to explore the use of AI-inspired techniques in near-term realizable quantum architectures.v

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 27, 2023
Source ID
W911NF2310305

Entities

People

  • Saikat Guha

Organizations

  • Army Contracting Command
  • United States Army
  • University of Arizona

Tags

Fields of Study

  • Computer science
  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Quantum spin resonance or Electron Paramagnetic Resonance spectroscopy.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Quantum Computing