Circuit-Based Quantum Random Access Memory for Classical Data

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 52
  • Download : 0
A prerequisite for many quantum information processing tasks to truly surpass classical approaches is an efficient procedure to encode classical data in quantum superposition states. In this work, we present a circuit-based flip-flop quantum random access memory to construct a quantum database of classical information in a systematic and flexible way. For registering or updating classical data consisting of M entries, each represented by n bits, the method requires O(n) qubits and O(Mn) steps. With postselection at an additional cost, our method can also store continuous data as probability amplitudes. As an example, we present a procedure to convert classical training data for a quantum supervised learning algorithm to a quantum state. Further improvements can be achieved by reducing the number of state preparation queries with the introduction of quantum forking.
Publisher
NATURE PUBLISHING GROUP
Issue Date
2019-03
Language
English
Article Type
Article
Citation

SCIENTIFIC REPORTS, v.9

ISSN
2045-2322
DOI
10.1038/s41598-019-40439-3
URI
http://hdl.handle.net/10203/254005
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0