Russian Quantum Center Builds First Ion-Based Quantum Computer Equivalent to 72 Qubits
Russian Quantum Center Builds First Ion-Based Quantum Computer Equivalent to 72 Qubits
Synopsis
- Russian researchers have unveiled the country’s first ion-based quantum computer using multi-level quantum units.
- The system’s architecture delivers computing power comparable to a 72-qubit processor with high operational accuracy.
- Developers plan to apply the platform to complex optimization problems such as network design.
Estimated reading time: 3 mins Read
Russian scientists have unveiled the country’s first ion-based quantum computer, marking a milestone in domestic quantum research. The system relies on an advanced form of quantum unit with seven distinct energy levels, a design that gives it computing capability equivalent to a 72-qubit quantum processor, according to a report by CGTN citing information from the Russian Quantum Center.
The center said the new architecture allows the machine to perform key calculations with a high degree of precision. Maxim Ostras, head of the Russian Quantum Center, noted that work on this multi-level approach began several years ago with a much smaller experimental setup. He said the team has since significantly expanded the system’s capacity, resulting in a prototype whose overall performance matches that of a 72-qubit processor.
Most quantum computers today are built around qubits, the quantum counterpart of classical bits. Traditional qubits operate with two energy states, similar to artificial atoms. Researchers worldwide are now exploring more complex quantum units that operate across three, four, or even more energy levels, as these can encode and process greater amounts of information using fewer physical particles. While more powerful, such systems are also considerably harder to control.
The Russian machine is built using 26 calcium ions, with each ion functioning as a seven-level quantum unit capable of assuming values from zero to six. To realize this design, a research group led by Kirill Lakhmanskiy developed specialized laser systems and a sophisticated optical framework to precisely manage quantum states and execute essential logical operations.
Testing showed the processor achieves single-qubit operation accuracy of 99.92 percent and two-qubit operation accuracy of 96.5 percent, levels described as record-setting for quantum systems of this scale. Lakhmanskiy said the team intends to begin running algorithms focused on combinatorial optimization, a class of problems commonly applied in network planning and other complex decision-making tasks, according to the report by CGTN, which cited Xinhua News Agency as the source.
Source here – To submit a story to us, address it to “the Editor” her
About The Russian Quantum Center
The Russian Quantum Center is a leading research institution focused on advancing quantum technologies across computing, communications, and sensing. The center brings together physicists, engineers, and applied researchers to develop next-generation quantum systems that move beyond laboratory experiments toward practical deployment. Its work spans ion-based and photonic approaches, as well as advanced quantum control, optics, and algorithm development.
In recent years, the center has concentrated on scaling quantum computing architectures using non-standard quantum units that can store and process more information than conventional two-level qubits. This strategy aims to improve computational power while limiting hardware complexity. RQC researchers have also built specialized laser and optical control systems to achieve high operational accuracy in quantum logic operations. Alongside hardware development, the center explores real-world applications such as combinatorial optimization, network design, and complex planning problems. Through sustained experimentation and system integration, the Russian Quantum Center positions itself as a key driver of domestic quantum innovation and applied research capability.
Featured image Source: EIU
Disclaimer
The information provided in this article is for general informational purposes only and is derived from publicly available sources. While every effort is made to ensure accuracy, we make no representations or warranties, express or implied, regarding the completeness, reliability, or validity of the content. This article does not assert or verify any claims about specific companies, individuals, or organizations. This article does not constitute financial, investment, legal, or professional advice. Content may not be suitable for use in all jurisdictions. Readers are responsible for compliance with local laws and regulations. References to external reports, studies, or sources are for contextual purposes only and do not imply endorsement or confirmation of any specific allegations. Readers are advised to conduct their own due diligence and seek professional advice before making business or investment decisions. Some statements may be forward-looking and subject to risks and uncertainties. Actual outcomes may differ materially. We disclaim any liability for losses or damages incurred as a result of reliance on the information provided.