The reporter learned today that at the 2022 APS Annual Meeting of the Global Physics Event, alibaba Damo Academy Quantum Laboratory announced a series of latest progress, including materials, coherence time, door control, quantum computing compilation scheme, etc., of which the two-bit gate control accuracy of the new qubit fluxonium is 99.72%, reaching the best level in the world.
Figure: Alibaba Damo Academy Quantum Lab two-bit (fluxonium) control accuracy of 99.72%
The American Physical Society Annual Meeting (APS March Meeting) is one of the world's largest physics academic conferences and a major event to report on the latest advances in quantum computers. In addition to the academic institution team, there were also major international corporate teams such as IBM, Google, Microsoft and Alibaba investing in quantum computing.
The Dharma Institute Quantum Laboratory shared 8 academic reports with scientists around the world. Based on the new superconducting qubit fluxonium, dharma academy quantum laboratory successfully designed and manufactured a two-bit quantum chip, achieving a single-bit control accuracy of 99.97%, a two-bit iSWAP gate control accuracy of up to 99.72%, achieving the world's best level of such bits, and the performance is close to the traditional transmon bits used by the industry's major quantum research and development teams. The lab has also implemented another native two-bit gate SQiSW with stronger compilation capabilities than iSWAP on this chip, with a control accuracy of 99.72%, which is the highest accuracy achieved by the quantum gate on all quantum computing platforms.
Pictured: Two-bit (fluxonium) quantum chip of Alibaba Dharma Academy Quantum Lab
Fluxonium has the theoretical advantage of higher control accuracy than transmon, and has long attracted the attention of the academic community. However, the realization of this theoretical advantage requires overcoming many technical difficulties. In addition to the Dharma Institute Quantum Lab, the report team also includes top superconducting quantum computing research groups from the University of Maryland, Princeton University, the University of Chicago, UC Berkeley, MIT/Lincoln Lab, and others. The latest achievements of the Dharma Academy's Quantum Laboratory have initially demonstrated the advantages of fluxonium, which relies on breakthroughs and innovations in the theory, design, simulation, materials, preparation and control.
Dharma Academy's Quantum Laboratory has invented a new method for manufacturing quantum devices using epitaxial systems of titanium aluminum nitride (TAN) materials, which can still achieve a sharp increase in dynamic inductance at very low microwave losses. The material is expected to be the core component of Quantum Lab's next-generation fluxonium chip.
On another chip preparation topic, the titanium nitride-based superconducting qubits prepared by the Dharma Academy Quantum Laboratory can repeatedly reach 300 microseconds in the most critical performance index of coherence time, which is world-class.
A core issue in automating quantum chip design is increasing the speed of simulation calculations. On this topic, the electromagnetic simulation tool of superconducting quantum chip based on surface integral equation method developed by Quantum Lab has achieved two orders of magnitude of acceleration in the calculation of circuit parameters and interface loss compared with the usual finite element method, which has greatly promoted the design optimization of quantum chips.
In another work that has greatly improved the design capabilities of large-scale quantum chips, the Quantum Laboratory of Dharma Academy has efficiently combined optimization of bit design schemes and bit manipulation schemes in a larger parameter space by integrating chip optimization and quantum manipulation into the framework of gradient optimization.
Dharma Academy Quantum Laboratory also verified the optimization scheme of the overall computing performance of the self-developed superconducting quantum chip on fluxonium, including the single-bit gate universal optimization compilation scheme for the superconducting architecture and the real-time optimal compilation scheme for another native control SQiSW gate on the superconducting chip. This optimization scheme can greatly improve the overall performance index of the quantum chip.
"Building a scalable high-precision qubit platform is the core strategy for us to implement quantum computers at present. These 8 reports show that fluxonium is no longer a crude toy for academics to demonstrate principles, but has become an industrial-grade weapon that can compete with mainstream platforms. Shi Yaoyun, head of the quantum laboratory of Alibaba DAMO Academy, said, "These achievements accumulated over the past three years also reflect our path choice of first high precision and then multibits, the adventurous spirit of differentiated development, and the research style of steady and systematic advancement." ”
According to reports, the quantum laboratory of Dharma Academy focuses on the implementation of quantum computers, and has built two hardware laboratories, Lab-1 and Lab-2. The latter is located in the dream town of Future Science and Technology City in Yuhang District, Hangzhou, and provides a quantum laboratory with experimental facilities to explore high precision on multi-bit. Previously, the Quantum Laboratory of Dharma Academy has open sourced the self-developed quantum computing simulator "Taizhang 2.0" and a series of application cases, and the relevant results have been published in nature micro-journal Nature Computational Science, and its core algorithm is widely adopted by the academic community and industry.
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