High-performance computing software scans a mega quantum detector

Researchers at the Paderborn University in Germany have developed high-performance computing (HPC) software that can analyze and describe the quantum states of a photonic quantum detector. 

High-performance computing (HPC) involves using advanced classical computers to manage large datasets, perform complex calculations, and rapidly solve challenging problems.

Most classical computational approaches cannot be directly applied to quantum applications. However, the new study suggests that HPC could be useful for quantum tomography —- the technique used to determine the quantum state of a quantum system.

In their new study, the researchers claim, “By developing customized open-source algorithms using high-performance computing, we have carried out quantum tomography on a photonic quantum detector on a mega-scale.”

HPC enables mega-scale quantum tomography

A quantum photonic detector is an advanced tool for detecting and measuring individual light particles (photons). It is highly sensitive and can gather detailed information about various properties of photons, such as their energy levels or polarization. This information is very useful for quantum research, experiments, and technologies. 

Accurate determination of the quantum state of the photonic detector is therefore crucial for precise measurements. However, large amounts of data processing are required to perform the quantum tomography of such an advanced tool. 

This is where the new HPC software can help. To demonstrate its potential, “We performed quantum tomography on a megascale quantum photonic detector covering a Hilbert space of 10⁶,” the study authors note.

Hilbert space is a mathematical framework that describes a multi-dimensional space where each point represents a possible state of a quantum system. 

It includes an inner product to calculate distances and angles between states, essential for concepts like probability and superposition. Such spaces can have infinite dimensions, representing a vast range of possible states.

Using the HPC software, the study authors successfully “completed calculations that described the quantum photonic detector, within a few minutes —- faster than anyone else before,” the study authors added.   

This classical approach can trigger new quantum developments

HPC isn’t limited to determining the state of the quantum photonic detector. By taking advantage of how quantum tomography is structured, the study authors could make the process more efficient. 

This optimization can allow them to handle and reconstruct quantum systems with up to 10¹² elements. “This shows the unprecedented extent to which this tool can be applied to quantum photonic systems,” Timon Schapeler, first author of the study, and a research scientist at Paderborn University, said.

“As far as we know, our work is the first contribution in the field of classical high-performance computing that enables experimental quantum photonics on a large scale,” Chapeler added. 

Hopefully, the HPC-driven quantum tomography approach will contribute to the development of better and more efficient data processing, quantum measurement, and communication technologies in the future.

The study is published in the journal Quantum Science and Technology.