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

Springer eBooks

Data Conversion Mechanisms

Hafiz Md. Hasan Babu

Published Jan 1, 2025• 0 citations
Publisher
DOI
10.1007/978-981-97-5349-9_14

Related papers

Biphoton double-slit experiment

G. Brida, E. Cagliero, Giuseppe Falzetta +3 more

In this paper we present a double-slit experiment where two indistinguishable photons produced by type-I parametric down-conversion are each sent to a well-defined slit. Data about the diffraction and interference patterns for coincidences are presented and discussed. An analysis of these data allows a test of standard quantum mechanics against the de Broglie--Bohm theory.

arXiv:quant-ph/0310020•Physical Review A•Sep 11, 2003•87 citations

Information Encoding

Maria Schuld, Francesco Petruccione

Quantum science and technology•Jan 1, 2018•16 citations

Ionisation in atom-Rydberg atom collisions: ejected electron energy spectra and reaction rate coefficients

A. A. Mihajlov, R.K. Janev

Using the resonant internal energy conversion mechanism for inelastic atom-Rydberg atom slow collisions, the energy spectra of ejected electrons and the rate coefficients for the ionisation process are calculated analytically. Reaction rates for H*(n)+H, Cs*(n)+Cs, Rb*(n)+Rb and K*(n)+Rb colliding systems are calculated and compared with the available experimental data.

Journal of Physics B Atomic and Molecular Physics•May 28, 1981•58 citations

Automatic data processing

Journal of the Franklin Institute•Jan 1, 1964•46 citations

Exponential strong converse for blind quantum data compression

Kohdai Kuroiwa

We establish exponential strong converse theorems for blind quantum data compression of finite-dimensional mixed-state sources, with and without entanglement assistance. Blind compression is a fundamental quantum information processing task in which the sender aims to transmit quantum states without direct access to the classical label. Strong converse is a notable aspect of data compression: the accuracy of the compression abruptly drops down to zero once the compression rate goes below a threshold. Strong converses for data compression have been established for pure-state sources; however, for mixed-state sources, the optimal compression rate is determined by a structural decomposition of quantum states and can change substantially under small perturbations. This sensitivity makes it difficult to quantitatively analyze the trade-off between compression rate and error. Despite recent progress, whether a strong converse holds at the optimal rate has remained unresolved in general. In this work, we resolve this question affirmatively. For unassisted compression, we show that at every rate below the optimum, the accuracy decays exponentially with the block length for general mixed-state sources without restrictions on protocols. We also prove exponential strong converse for blind compression with unlimited entanglement assistance at its optimal rate. Combining the two strong converse bounds yields exponential decay at every compression-entanglement rate pair outside the complete achievable rate region. Our proof introduces a new overlap quantity based on the structure of quantum states; this quantity connects preservation of the source information to the dimension of the transmitted system. We expect that this approach provides useful tools for converse analyses of other quantum information-processing tasks involving mixed states.

quant-pharXiv:2609.38328•Oct 1, 2026•0 citations

Bidirectional electro-optic wavelength conversion in the quantum ground state

William Hease, Alfredo R Rueda Sanchez, Rishabh Sahu +4 more

This dataset comprises all data shown in the plots of the main part of the submitted article "Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State". Additional raw data are available from the corresponding author on reasonable request.

•Jan 1, 2020•71 citations
We establish exponential strong converse theorems for blind quantum data compression of finite-dimensional mixed-state sources, with and without entanglement assistance. Blind compression is a fundamental quantum information processing task in which the sender aims to transmit quantum states without direct access to the classical label. Strong converse is a notable aspect of data compression: the accuracy of the compression abruptly drops down to zero once the compression rate goes below a threshold. Strong converses for data compression have been established for pure-state sources; however, for mixed-state sources, the optimal compression rate is determined by a structural decomposition of quantum states and can change substantially under small perturbations. This sensitivity makes it difficult to quantitatively analyze the trade-off between compression rate and error. Despite recent progress, whether a strong converse holds at the optimal rate has remained unresolved in general. In this work, we resolve this question affirmatively. For unassisted compression, we show that at every rate below the optimum, the accuracy decays exponentially with the block length for general mixed-state sources without restrictions on protocols. We also prove exponential strong converse for blind compression with unlimited entanglement assistance at its optimal rate. Combining the two strong converse bounds yields exponential decay at every compression-entanglement rate pair outside the complete achievable rate region. Our proof introduces a new overlap quantity based on the structure of quantum states; this quantity connects preservation of the source information to the dimension of the transmitted system. We expect that this approach provides useful tools for converse analyses of other quantum information-processing tasks involving mixed states.