Extracting particle mass on quantum computers: state preparation and measurement
- Date
- June 3 (Tue) at 11:00 - 12:30, 2025 (JST)
- Speaker
-
- Xiaoyang Wang (Postdoctoral Researcher, Quantum Mathematical Science Team, Division of Applied Mathematical Science, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS))
- Venue
- Seminar Room #359 (Main Venue)
- via Zoom
- Language
- English
- Host
- Shinichiro Fujii
In this seminar, I will introduce the procedure of extracting particle mass from the ab initio calculation using quantum computers, including two essential steps: state preparation and measurement.
For the measurement process, in our recent work "Computing n-time correlation functions without ancilla qubits" [arXiv:2504.12975], we developed a measurement method for correlation functions without ancilla qubits, circumventing longstanding hardware constraints of limited qubit connectivity and short-range control operations. We demonstrate our method using IBM quantum hardware and successfully reproduce the noiseless results of the Schwinger model hadron mass within a relative error of 0.18%, even in the presence of realistic hardware limitations and noise.
For the state preparation process, another work "Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem" [arXiv:2504.12896] focused on the accuracy of the state preparation using variational quantum algorithms (VQAs). We propose a light-cone VQA with provable performance guarantees, whose single round has higher accuracy than the 3-round standard VQA for the maximum cut problem. We experimentally validated the single-round light-cone VQA using IBM quantum hardware with solution accuracy that exceeds the known classical hardness threshold in both a 72-qubit demonstration and a 148-qubit demonstration.
References
- Xiaoyang Wang, Long Xiong, Xiaoxia Cai, Xiao Yuan, Computing n-time correlation functions without ancilla qubits, arXiv: 2504.12975
- Xiaoyang Wang, Yuexin Su, Tongyang Li, Performance guarantees of light-cone variational quantum algorithms for the maximum cut problem, arXiv: 2504.12896
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