scholarly journals Encoding Circuit, Entropy and Error Correction

Author(s):  
Subhash Kak

<p>This paper considers the entropy perspective on the problem of noise in the circuit where the quantum data is prepared before it is sent forward to the error correction encoder. Since the errors in the circuits before the data qubits are converted to logical qubits cannot be corrected, there will be residual qubit errors in the processing system. This constitutes a great challenge for developing useful, scalable quantum computers. </p>

2021 ◽  
Author(s):  
Subhash Kak

<p>This paper considers the entropy perspective on the problem of noise in the circuit where the quantum data is prepared before it is sent forward to the error correction encoder. Since the errors in the circuits before the data qubits are converted to logical qubits cannot be corrected, there will be residual qubit errors in the processing system. This constitutes a great challenge for developing useful, scalable quantum computers. </p>


2005 ◽  
Vol 03 (01) ◽  
pp. 207-211
Author(s):  
GABRIELE DE CHIARA ◽  
ROSARIO FAZIO ◽  
CHIARA MACCHIAVELLO ◽  
G. MASSIMO PALMA

The effects of quantum error correction (QEC) on the dynamics of entanglement between logical qubits in the presence of a dephasing interaction with a correlated environment is investigated. Such a correlated reservoir introduces entanglement between physical qubits which, for short times, is interpreted as error and suppressed by the QEC routine. However for longer times, although QEC is no longer able to correct errors, it enhances the rate of entanglement production due to the interaction with the environment.


1982 ◽  
Vol 26 (7) ◽  
pp. 625-628 ◽  
Author(s):  
Alan S. Neal ◽  
William H. Emmons

In order to answer questions related to keying errors and operator corrections, performance data were collected on typists as they keyed text into a simulated word processing system. Data are presented on the frequency of error detection, the amount of time spent correcting errors, the number of characters erased per error correction, and the types of errors corrected. Comparisons are also made between operator corrected and uncorrected errors.


2021 ◽  
Author(s):  
Alberto Delgado

<div>There is an increasing interest to find applications of current quantum computers, small number of qubits and no error correction, known as NISQ computers. In this paper a parametrized quantum model is embedded in a chain of integrators to create an oscillator, the parameters are estimated using Taylor linearization and stability analysis from classic control systems theory.</div><div><br></div>


2019 ◽  
Vol 8 (S3) ◽  
pp. 25-29
Author(s):  
A. T. A. Kishore Kumar ◽  
R. Seshasayanan

Logarithmic conversion is a significant portion of numerous digital signals processing system and other applications. The anti logarithmic transformation presented in this paper is able to support the anti logarithmic conversion of data with the number of bits up to thirty-two. An efficient FPGA hardware implementation of logarithmic operations is an alternative option used in arithmetic operations. In this paper, we implemented an efficient anti logarithmic converter using FPGA. This implementation is compared with 28 regions error correction scheme. The proposed hardware architecture having less area, delay with less error cost. This design is implemented using HDL tool and synthesized using Xilinx CAD tool. The implementation has with respect to existing antilog converter.


2021 ◽  
Author(s):  
Alberto Delgado

<div>There is an increasing interest to find applications of current quantum computers, small number of qubits and no error correction, known as NISQ computers. In this paper a parametrized quantum model is embedded in a chain of integrators to create an oscillator, the parameters are estimated using Taylor linearization and stability analysis from classic control systems theory.</div><div><br></div>


2008 ◽  
Vol 100 (11) ◽  
Author(s):  
E. Brion ◽  
L. H. Pedersen ◽  
M. Saffman ◽  
K. Mølmer

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