Quantum Machine Learning

reportActive / Technical Report | Accesssion Number: AD1189440 | Open PDF

Abstract:

No Abstract Identified

Author(s):
Lloyd, Seth
Author Organization(s):
MASSACHUSETTS INST OF TECH CAMBRIDGE
Funding Organization(s):
ARMY RESEARCH LAB RESEARCH TRIANGLE PARK NC, RESEARCH TRIANGLE PARK , NC
Document Type:
Technical Report/Final Report
Publication Date:
2022 Jul 26
Pagination:
44

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution Code:
A - Approved For Public Release
Distribution Statement: Public Release

RECORD

Collection: TRECMS
Subject Terms
Modernization Areas:
Quantum Science and Computing
Communities of Interest:
Advanced Electronics
Descriptor(s):
quantum computing, quantum information, information processing, neural networks, differential equations, machine learning, information systems, kernel functions, quantum algorithms, quantum measurement, quantum mechanics, data science, information science, partial differential equations, algorithms, computers, equations
Creation Date:
2023 Jan 10
Update Date:
2023 Jan 10