Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Polycube optical memory: a 6.5 × 107 bit read–write and random access optical store

Not Accessible

Your library or personal account may give you access

Abstract

A random access optical memory for write-read-write operation is proposed. The memory is designed on the basis of a nonvolatile magnetooptic photoconductor sandwich storage material (mops) that offers high optical sensitivity. The optical addressing part of the memory consists of an He–Ne laser, digital light deflection combined with passive beam splitting and simple optics. The addressing is organized in blocks of about 103 bits. First experimental results measured at a system model being developed in our laboratory are presented, as well as results of storage experiments at a magnetooptic photoconductor sandwich.

© 1975 Optical Society of America

Full Article  |  PDF Article
More Like This
Optics for a Read–Write Holographic Memory

W. C. Stewart and L. S. Cosentino
Appl. Opt. 9(10) 2271-2275 (1970)

HOLOGRAPHIC OPTICAL MEMORY An Optical Read–Write Mass Memory

J. A. Rajchman
Appl. Opt. 9(10) 2269-2271 (1970)

Optical parallel-access shared memory system: analysis and experimental demonstration

Kuang-Yu J. Li and B. Keith Jenkins
Appl. Opt. 34(2) 358-369 (1995)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (11)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.