New lab resources: IRB approval and IBM Quantum credits
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New lab resources: IRB approval and IBM Quantum credits
Published:
We have updated the resources available to lab members. Projects executed at the lab that require large-scale quantum computation may qualify for IBM Quantum Credits program through Prof. Wong. Research projects in the lab that involve human subject data may apply for Institutional Review Board (IRB) approval free of charge through Prof. Wong’s affiliation with Chang Gung Memorial Hospital. For details see the tab RESOURCES.
Funding received from Chang Gung Memorial Hospital
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We are happy to announce that our Lab has received the second tranche from the matching fund of Chang Gung Memorial Hospital for our NSTC project ‘Estimating molecular ground and excited state energies on quantum computers’. For details see the FUNDING tab.
Two internship positions through IIPP
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We currently offer 2 internship opportunities through NSTC’s International Internship Pilot Program (IIPP). For details see here: https://iipp.stpi.niar.org.tw/mentor/22162. These opportunities are funded by the National Science and Technology Council. For details check the tab “Join us”.
Our Book Repository
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Our Lab will be expanding its book repository soon. Currently, we have several books in quantum chemistry related particularly to the electronic structure. The planned expansion will include books in quantum physics and quantum information. Please check the tab “Resources” for details.
RTX 5090 Asus Laptop
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We have received today our latest addition to lab equipment: a NVIDIA RTX5090 GPU laptop with 24GB VRAM. Check out the Equipment tab for details.
Two internship positions through IIPP
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Please be notified that we currently offer 2 internship opportunities through NSTC’s International Internship Pilot Program (IIPP). For details see here: https://iipp.tw/mentor/22162
Funding received from Chang Gung Memorial Hospital
Published:
We are happy to announce that our Lab has received the first tranche from the matching fund of Chang Gung Memorial Hospital for our NSTC project ‘Estimating molecular ground and excited state energies on quantum computers’.
Our Lab welcomes RTX 6000 Ada high-end workstation
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We are happy to announce that our Lab has received its first high-end workstation with RTX 6000 Ada Lovelace architecture GPU (48GB GDDR6 VRAM with ECC, 142 third-generation RT Cores, 568 fourth-generation Tensor Cores, and 18,176 CUDA® cores), Ryzen 9-7950X CPU (4.5GHz, 16 cores, 32 threads), 128GB (2 x 64GB) DDR5 RAM, and T700, 4TB, PCIe Gen 5 NVMe SSD (read: 12,400 MB/s, write: 11,800 MB/s).
First NSTC project awarded for the Lab
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We are happy to announce that our Lab has received NTD 3,569,000 from the National Science and Technology Council for the research project “Estimating molecular ground and excited state energies on quantum computers”. The work starts on February 1, 2025 and will run till July, 31, 2027.
Equipment funding from CGU Startup Fund
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The Quantum AI Biomedical Research Lab has been awarded NTD 795,000 from the Chang Gung University Startup Fund. The full amount goes into buying equipment for the lab. More coming soon…
portfolio
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publications
Making the zeroth-order process fidelity independent of state preparation and measurement errors
Published in arXiv, 2023
In this work, we demonstrate that the zero-fidelity, an approximation to the process fidelity, when combined with randomized benchmarking, becomes robust to state preparation and measurement (SPAM) errors.
Recommended citation: Yu-Hao Chen and Renata Wong and Hsi-Sheng Goan (2023). "Making the zeroth-order process fidelity independent of state preparation and measurement errors" arXiv. 2312.08590. https://arxiv.org/abs/2312.08590
Bioinspired Quantum Oracle Circuits for Biomolecular Solutions of the Maximum Cut Problem
Published in IEEE Transactions on NanoBioscience, 2024
Given an undirected, unweighted graph with n vertices and m edges, the maximum cut problem is to find a partition of the n vertices into disjoint subsets and such that the number of edges between them is as large as possible. Classically, it is an NP-complete problem, which has potential applications ranging from circuit layout design, statistical physics, computer vision, machine learning and network science to clustering. In this paper, we propose a biomolecular and a quantum algorithm to solve the maximum cut problem for any graph G.
Recommended citation: Weng-Long Chang, Renata Wong, Yu-Hao Chen, Wen-Yu Chung, Ju-Chin Chen, Athanasios V. Vasilakos (2024). "Bioinspired Quantum Oracle Circuits for Biomolecular Solutions of the Maximum Cut Problem" IEEE Transactions on NanoBioscience 23(3): 499-506, DOI: 10.1109/TNB.2024.3395420. https://ieeexplore.ieee.org/abstract/document/10510482
Support vector machine kernels as quantum propagators
Published in arXiv, 2025
In this work, we establish the equivalence between Support Vector Machine (SVM) kernels and quantum Greens functions.
Recommended citation: Nan-Hong Kuo and Renata Wong (2025). "Support vector machine kernels as quantum propagators" arXiv. 2502.11153. https://arxiv.org/abs/2502.11153
A quantum Bluestein algorithm for arbitrary size quantum Fourier transform
Published in arXiv, 2025
We propose a quantum analogue of Bluestein’s algorithm (QBA) that implements an exact N-point Quantum Fourier Transform (QFT) for arbitrary N. Our construction factors the N-dimensional QFT unitary into three diagonal quadratic-phase gates and two standard radix-2 QFT subcircuits of size M=2^m (with M≥2N−1). This achieves asymptotic gate complexity O((logN)^2) and uses O(logN) qubits, matching the performance of a power-of-two QFT on m qubits while avoiding the need to embed into a larger Hilbert space. We validate the correctness of the algorithm through a concrete implementation in Qiskit and classical simulation, confirming that QBA produces the exact N-point discrete Fourier transform on arbitrary-length inputs.
Recommended citation: Nan-Hong Kuo and Renata Wong (2025). "A quantum Bluestein algorithm for arbitrary size quantum Fourier transform" arXiv. 2512.15349. https://arxiv.org/abs/2512.15349
Quantum circuit compilation for fermionic excitations using the Jordan-Wigner mapping
Published in arXiv, 2026
This note bridges the gap between theoretical second quantization and practical quantum hardware by detailing the Jordan-Wigner mapping for the Unitary Coupled Cluster Singles and Doubles (UCCSD) ansatz. Using the hydrogen molecule in a minimal basis as a case study, we explicitly derive the Pauli strings required for single and double excitations. Additionally, we discuss the translation of these operators into quantum circuits, with a focus on implementation nuances such as the difference between mathematical rotations and physical gates like the SX gate.
Recommended citation: Renata Wong (2026). "Quantum circuit compilation for fermionic excitations using the Jordan-Wigner mapping" arXiv. 2601.07890. https://arxiv.org/abs/2601.07890
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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