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192 results about "Quantum error correction" patented technology

Quantum error correction (QEC) is used in quantum computing to protect quantum information from errors due to decoherence and other quantum noise. Quantum error correction is essential if one is to achieve fault-tolerant quantum computation that can deal not only with noise on stored quantum information, but also with faulty quantum gates, faulty quantum preparation, and faulty measurements.

Error corrected quantum computer

This invention concerns quantum error correction, that is the correction of errors in the transport and processing of qubits, by use of logical qubits made up of a plurality of physical qubits. The process takes place on a spatial array of physical qubit sites arranged with a quasi-2-dimensional topology having a first line of physical qubit sites and second line of physical qubit sites, where the first and second lines are arranged in parallel, with the sites of the first line in registration with corresponding sites in the second line. Between the first and second lines of physical qubit sites are a plurality of logic function gates, each comprised of a first physical qubit gate site associated with a first physical qubit site in the first line, and a second physical qubit gate site associated with the physical qubit site in the second line that corresponds to the first physical qubit site. The temporal process comprises the following steps: Creating a logical qubit in a section of the array by initialising an equal plurality of physical data and ancilla qubits at respective sites of the first and second lines within the section. Clocking each physical qubit site in the section at the same time. Permitting the physical data and ancilla qubits to move to an adjacent site in a clock cycle, provided that no site may contain more than one physical qubit at any time. Controlling the sites to achieve movement of ancilla qubits in the array to bring pairs of the ancilla qubits to respective first and second physical gate sites of logic function gates over the course of a number of clock cycles. Permitting logic operations to be performed at logic function gates which have both of their gate sites occupied by a physical ancilla qubit. Controlling the gate sites of the logic function gate to achieve the logic operation. Controlling the sites to achieve movement of the qubits in the array to bring pairs of all the data and ancilla qubits to respective logic function gates over the course of a number of clock cycles. Controlling the gate sites of the logic function gate to achieve the logic operation between each pair of data and ancilla qubits. Controlling the sites to achieve movement of the qubits in the array to bring all the data and ancilla qubits to respective sites where they can be read out. And, Using the values of the ancilla qubits read out to correct errors arising in the data qubits they have been gated with.
Owner:NEWSOUTH INNOVATIONS PTY LTD

Wind power forecast method based on error correction and promotion wavelet combination forecast model

The invention discloses a wind power forecast method based on an error correction and promotion wavelet combination forecast model. According to the method, wind power history data is processed through utilization of a promotion wavelet decomposition technology, main characteristics of a power data sequence can be improved, frequency components with relatively obvious characteristics can be obtained, and the denoising effect can be achieved, thereby applying to various forecast algorithms. A suitable forecast model is selected according to the characteristics of high and low frequency components, the deficiency of a single forecast method can be removed, and the forecast precision can be greatly improved. According to the method, processing errors are corrected through utilization of an error layered analysis method. Compared with the method of obtaining a next moment error forecast value by directly using the forecast model, the method has the advantage that under the condition that relatively high fluctuation occurs in the errors, the next moment error condition and compensation strength can be analyzed precisely, the errors resulting from an error forecast process can be reduced, and the errors of the integrated forecast method can be reduced.
Owner:ZHEJIANG GONGSHANG UNIVERSITY

Secret key extraction method and system based on SRAM PUF

The invention discloses a secret key extraction method and a secret key extraction system based on an SRAM PUF. The secret key extraction method comprises a registration phase and an authentication phase. The registration phase comprises the steps of: reading original data generated by an SRAM fixed address field, and regarding the original data as an initial value; carrying out powering-on for many times, comparing the plurality of obtained initial values, and eliminating addresses corresponding to error-prone data bits in the initial values to obtain a stable address; and using an initial values generated by the stable address as a secret key material for generating a secret key, and generating an error correction code of the secret key material by adopting an error correction algorithm. Thus, the error rate of an SRAM address field for generating the secret key material is reduced, the system can select the simple error correction algorithm for carrying out error correction on the short original data when extracting the secret key material the next time, and the system efficiency is improved. The authentication phase comprises the steps of: extracting the original data with low error rate from the stable address obtained in the registration phase, carrying out error correction by adopting the same error correction algorithm, and finally recovering the secret key material.
Owner:DATA ASSURANCE & COMM SECURITY CENT CHINESE ACADEMY OF SCI

Perceptually driven error correction for video transmission

The invention presents a method of applying forward error correction selectively to an encoded video sequence before it is transmitted. Forward error correction is targeted at portions of the video that will be most noticeably affected by any potential packet loss during transmission. The targeting is done using a perceptual error sensitivity model, which effectively maps an error visibility rating onto content-dependent and content-independent properties associated with a given portion video. The encoder and decoder settings will be used for the actual video sequence where forward error correction is to be applied are used in the training of the model, as they have a significant effect on the perception of any errors. Then, to adaptively apply forward error correction, a selected video sequence is encoded, and the encoded bitstream is analysed to determine content-independent properties. A decoded version of the video sequence is also analysed to determine content-dependent properties being determined. The content-independent and content-dependent properties are used in conjunction with the perceptual error sensitivity model to predict which slices of the video sequence will be most significantly affected perceptually by packet loss, and thus target FEC to those areas accordingly.
Owner:BRITISH TELECOMM PLC
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