Simulation of quantum computing systems development and implementation of Fourier quantum process tomography (FQPT) in comparison to standard maximum likelihood (ML) method. Credit: University of Ottawa
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Simulation of quantum computing systems development and implementation of Fourier quantum process tomography (FQPT) in comparison to standard maximum likelihood (ML) method. Credit: University of Ottawa
A group of researchers from the University of Ottawa’s Nexus for Quantum Technologies Institute (NexQT), led by Dr. Francesco Di Colandrea, under the supervision of Professor Ebrahim Karimi, assistant professor of physics, has developed a new method for evaluating the performance of the quantum circuit.
This important progress, published in npj Quantum Informationit represents a giant leap forward in the field of quantum computing.
In the rapidly evolving computer technology, ensuring the performance and reliability of specialized equipment is critical. The ability to characterize these devices at high and fast speeds is essential for their successful integration into quantum circuits and computers, affecting both fundamental and four-dimensional research. useful.
It helps to configure or perform a device as expected, which is necessary when the device shows malfunctions or errors. Identifying and addressing these issues is critical to the development of future-proof technology.
Traditionally, scientists rely on Quantum Process Tomography (QPT), a method that requires a lot of “structural planning” to fully reconstruct the operation of a device. However, the number of measurements required in the QPT scale experiment with a large number of operations, presents some experimental challenges and significant comparisons, especially for high-resolution data transmissions.
The University of Ottawa researchers pioneered an excellent technique called Fourier Quantum Process Tomography (FQPT). This method allows the full validation of the actions with a small number of measurements.
Instead of performing a large number of measurements, FQPT uses a well-known mapping, the Fourier transform, to perform a set of measurements in two different mathematical spaces. The physical relationship between these spaces improves the information obtained from single measurements, reducing the number of measurements required. For example, for processes with 2d dimensions (where the maximum d can be freed), only seven dimensions are needed.
The researchers in their laboratory. From left to right: Professor Karimi, Francesco Di Colandrea, Nazanin Dehghan, and Allesio D’Errico. Credit: University of Ottawa
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The researchers in their laboratory. From left to right: Professor Karimi, Francesco Di Colandrea, Nazanin Dehghan, and Allesio D’Errico. Credit: University of Ottawa
To prove their method, the researchers created a photonic experiment that uses polarization to create a qubit. The quantum process was known as a complex transition dependent on space, using liquid-crystal technology. This experiment showed the flexibility and power of the method.
“The experimental validation is a fundamental step to study the application of the method to noise, ensuring robustness and high fidelity reconstruction in real experimental models,” said Francesco Di Colandrea, a postdoctoral fellow in the University of Ottawa.
This new system represents a remarkable advance in quantum computing. Researchers are actively working on extending FQPT to ordered quantum processes, including non-Hermitian and high-dimensional processes, and in four Implement AI techniques to increase accuracy and reduce costs.
This new approach represents a promising approach for further advancements in digital technology.
More info:
Francesco Di Colandrea et al, Fourier Quantum Process Tomography, npj Quantum Information (2024). DOI: 10.1038/s41534-024-00844-7
General information:
npj Quantum Information
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