Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Quantum Information Processing

A different Deutsch–Jozsa

Debajyoti Bera

Published Mar 31, 2015• 4 citations
Publisher
DOI
10.1007/s11128-015-0976-2

Related papers

Deutsch–Jozsa Algorithm

Belal Ehsan Baaquie, L. C. Kwek

Springer eBooks•Jan 1, 2023•1 citation

Deutsch-Jozsa and Walsh Spectrum

Tharrmashastha Sapv, Debajyoti Bera, Arpita Maitra +1 more

SpringerBriefs in computer science•Jan 1, 2021•0 citations

Nuclear magnetic resonance implementation of the Deutsch–Jozsa algorithm using different initial states

Vladimir L. Ermakov, B. M. Fung

The Deutsch–Jozsa algorithm distinguishes constant functions from balanced functions with a single evaluation. In the first part of the work, we present simulations of the nuclear magnetic resonance application of the Deutsch–Jozsa algorithm to a 3-spin system for all possible balanced functions. Three different kinds of initial states are considered: a thermal state, a pseudopure state, and a pair (difference) of pseudopure states. Then, simulations of several balanced functions and the two constant functions of a 5-spin system are described. Finally, corresponding experimental spectra obtained by using a 16-frequency pulse to create an input equivalent to either a constant function or a balanced function are presented, and the results are compared with those obtained from computer simulations.

arXiv:quant-ph/0304058•The Journal of Chemical Physics•May 29, 2003•8 citations

Distributed Deutsch–Jozsa algorithm

Hao Li, Daowen Qiu, Le Luo

The Journal of Supercomputing•Aug 9, 2025•15 citations

A Cavity QED Implementation of Deutsch-Jozsa Algorithm

E. S. Guerra

The Deutsch-Jozsa algorithm is a generalization of the Deutsch algorithm which was the first algorithm written. We present schemes to implement the Deutsch algorithm and the Deutsch-Jozsa algorithm via cavity QED.

arXiv:quant-ph/0410188•Oct 23, 2004•1 citation

Unifying parameter estimation and the Deutsch-Jozsa algorithm for continuous variables

Marcin Zwierz, Carlos A. Pérez-Delgado, Pieter Kok

We reveal a close relationship between quantum metrology and the Deutsch-Jozsa algorithm on continuous-variable quantum systems. We develop a general procedure, characterized by two parameters, that unifies parameter estimation and the Deutsch-Jozsa algorithm. Depending on which parameter we keep constant, the procedure implements either the parameter-estimation protocol or the Deutsch-Jozsa algorithm. The parameter-estimation part of the procedure attains the Heisenberg limit and is therefore optimal. Due to the use of approximate normalizable continuous-variable eigenstates, the Deutsch-Jozsa algorithm is probabilistic. The procedure estimates a value of an unknown parameter and solves the Deutsch-Jozsa problem without the use of any entanglement.

arXiv:1008.3291•Physical Review A•Oct 20, 2010•9 citations
The Deutsch–Jozsa algorithm distinguishes constant functions from balanced functions with a single evaluation. In the first part of the work, we present simulations of the nuclear magnetic resonance application of the Deutsch–Jozsa algorithm to a 3-spin system for all possible balanced functions. Three different kinds of initial states are considered: a thermal state, a pseudopure state, and a pair (difference) of pseudopure states. Then, simulations of several balanced functions and the two constant functions of a 5-spin system are described. Finally, corresponding experimental spectra obtained by using a 16-frequency pulse to create an input equivalent to either a constant function or a balanced function are presented, and the results are compared with those obtained from computer simulations.
We reveal a close relationship between quantum metrology and the Deutsch-Jozsa algorithm on continuous-variable quantum systems. We develop a general procedure, characterized by two parameters, that unifies parameter estimation and the Deutsch-Jozsa algorithm. Depending on which parameter we keep constant, the procedure implements either the parameter-estimation protocol or the Deutsch-Jozsa algorithm. The parameter-estimation part of the procedure attains the Heisenberg limit and is therefore optimal. Due to the use of approximate normalizable continuous-variable eigenstates, the Deutsch-Jozsa algorithm is probabilistic. The procedure estimates a value of an unknown parameter and solves the Deutsch-Jozsa problem without the use of any entanglement.