Publications (2023 – present)

Recent work from the QuanTAS group at Rice University — Anastasios Kyrillidis (CS), Nai-Hui Chia (CS), Tirthak Patel (CS), and Shengxi Huang (ECE) — spanning quantum optimization and algorithms, quantum complexity and cryptography, quantum systems and compilers, and quantum materials and sensing. In reverse chronological order.

2026

• Exploiting Low-Rank Objective Structure in Discrete Quadratic Optimization. Ria Stevens, Fangshuo Liao, Barbara Su, Thanasis Hadjidimoulas, Jianqiang Li, Anastasios Kyrillidis. Preprint, 2026. [arXiv] · [blog] · [code]
• Identity-Paired Progressive Depth Training: When Trainability Persists Beyond Expressibility. Athanasios Hadjidimoulas, Tirthak Patel, Anastasios Kyrillidis. Preprint, 2026. [arXiv:2607.16800] · [code]
• A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm. Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis. AAAI Conference on Artificial Intelligence (AAAI), 2026 (oral). [arXiv] · [DOI]
• Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with NEST. Yuqian Huo, David A. Quiroga, Anastasios Kyrillidis, Tirthak Patel. ACM SIGMETRICS, 2026. [DOI]
• QS3: Designing and Implementing an Interactive and Student-Centered Quantum Research Summit. Nicholas S. DiBrita, Yuqian Huo, David Román-García, Nai-Hui Chia, Anastasios Kyrillidis, Tracy Volz, Tirthak Patel. IEEE International Conference on Quantum Computing and Engineering (QCE), 2026.
• Fine-Grained Complexity for Quantum Problems from Size-Preserving Circuit-to-Hamiltonian Constructions. Nai-Hui Chia, Atsuya Hasegawa, François Le Gall, Yu-Ching Shen. Computational Complexity Conference (CCC), 2026. [arXiv]
• The Black-Box Simulation Barrier Persists in a Fully Quantum World. Nai-Hui Chia, Kai-Min Chung, Xiao Liang, Jiahui Liu. EUROCRYPT, 2026. [arXiv] · [DOI]
• A Cryptographic Perspective on the Verifiability of Quantum Advantage. Nai-Hui Chia, Honghao Fu, Fang Song, Penghui Yao. ACM Transactions on Quantum Computing (ToQC), 2026. [arXiv] · [DOI]
• Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems. Jason Ludmir, Aditya Ranjan, Nicholas S. DiBrita, Jason Han, Tirthak Patel. ACM/IEEE Supercomputing (SC), 2026.
• BAHAMAS: A Control Plane for Optimization and Execution of Variational Quantum Circuits. Amit Samanta, Mohammad Abrarul Hasanat, Jason Ludmir, Ryan Stutsman, Tirthak Patel, Rohan Basu Roy. ACM/IEEE Supercomputing (SC), 2026.
• Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus. Jason Han, Nicholas S. DiBrita, Daniel Leeds, Jianqiang Li, Jason Ludmir, Tirthak Patel. International Conference on Learning Representations (ICLR), 2026.
• WSBD: A Freezing-Based Optimizer for Quantum Neural Networks. Christopher Kverne, Mayur Akewar, Yuqian Huo, Tirthak Patel, Janki Bhimani. International Conference on Artificial Intelligence and Statistics (AISTATS), 2026. [arXiv]
• Anchor: Reducing Temporal and Spatial Output Performance Variability on Quantum Computers. Yuqian Huo, Daniel Leeds, Jason Ludmir, Nicholas S. DiBrita, Tirthak Patel. ACM SIGMETRICS, 2026. [DOI]
• ObliQ: Solving Quadratic Unconstrained Binary Optimization Problems on Real Photonic Quantum Machines. Aditya Ranjan, Daniel Silver, Tirthak Patel, Bhargav Chickmagalurnanjun, Devesh Tiwari. ACM SIGMETRICS, 2026. [DOI]
• SpinTune: Improving the Reliability of Quantum Sensor Networks for Practical Quantum-Classical Utility. Jason Ludmir, Nicholas S. DiBrita, Jason Han, Tirthak Patel. ACM International Conference on Supercomputing (ICS), 2026. [arXiv]
• TuniQ: Autotuning Compilation Passes for Quantum Workloads at Scale. Mohammad Abrarul Hasanat, Jason Ludmir, Tirthak Patel, Rohan Basu Roy. ACM International Conference on Supercomputing (ICS), 2026. [arXiv]
• PaQit: Energy-Runtime-Fidelity Co-Optimization for Neutral Atom Quantum Computers. Jason Ludmir, Tirthak Patel. IEEE International Conference on Quantum Computing and Engineering (QCE), 2026.
• Domain-Aware Probability Sampling for Hybrid Quantum Systems using Bayesian Optimization. Nicholas S. DiBrita, Jason Han, Krishna Bhatia, Younghyun Cho, Hengrui Luo, Tirthak Patel. IEEE QCE, 2026.
• Embedding Classical Partial Differential Equations in Photonic Continuous-Variable Quantum Systems. Aditya Ranjan, Tirthak Patel, Devesh Tiwari. Physical Review A, 2026.
• Quantum Semiconductor Heterostructures for meV Axion Dark Matter Detection. Jaydn Mehrani, Tianhao Xu, Andrey Baydin, Michael J. Manfra, Henry O. Everitt, Andrew J. Long, Kanupriya Sinha, Junichiro Kono, Shengxi Huang. Physical Review Letters 136, 241001, 2026. [arXiv] · [DOI]

2025

• Quantum EigenGame for Excited State Calculation. David Quiroga, Jason Han, Anastasios Kyrillidis. Conference on Parsimony and Learning (CPAL), 2025. [OpenReview]
• Adversarially Robust Quantum State Learning and Testing. Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia, Yuhan Liu. IEEE Symposium on Foundations of Computer Science (FOCS), 2025. [arXiv] · [DOI]
• Quantum State and Unitary Learning Implies Circuit Lower Bounds. Nai-Hui Chia, Daniel Liang, Fang Song. Conference on Learning Theory (COLT), 2025. [arXiv]
• 3-Local Hamiltonian Problem and Constant Relative Error Quantum Partition Function Approximation under QSETH. Nai-Hui Chia, Yu-Ching Shen. Preprint, 2025. [arXiv]
• Efficient Closest Matrix Product State Learning in Logarithmic Depth. Chia-Ying Lin, Nai-Hui Chia, Shih-Han Hung. Preprint, 2025. [arXiv]
• Shadow Tomography Against Adversaries. Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia, Chia-Ying Lin, Yuhan Liu, Aadil Oufkir, Yu-Ching Shen. Preprint, 2025. [arXiv]
• OpaQue: Program Output Obfuscation for Quantum Software Circuits in Quantum Clouds. Tirthak Patel, Aditya Ranjan, Daniel Silver, Harshitta Gandhi, William Cutler, Devesh Tiwari. ACM International Conference on Supercomputing (ICS), 2025.
• ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers. Nicholas S. DiBrita, Jason Han, Tirthak Patel. IEEE/CVF International Conference on Computer Vision (ICCV), 2025. [arXiv]
• EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data. Jason Han, Nicholas S. DiBrita, Younghyun Cho, Hengrui Luo, Tirthak Patel. ACM/IEEE Design Automation Conference (DAC), 2025.
• Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders. Jason Ludmir, Sophia Rebello, Jacob Ruiz, Tirthak Patel. ACM/IEEE Design Automation Conference (DAC), 2025.
• Revisiting Noise-Adaptive Transpilation in Quantum Computing: How Much Impact Does it Have? Yuqian Huo, Jinbiao Wei, Christopher Kverne, Mayur Akewar, Janki Bhimani, Tirthak Patel. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2025.
• Modeling and Simulating Rydberg Atom Quantum Computers for Hardware-Software Co-design with PachinQo. Jason Ludmir, Yuqian Huo, Nicholas S. DiBrita, Tirthak Patel. ACM SIGMETRICS, 2025.
• Room-Temperature High-Purity Single Photon Emission from Carbon-Doped Boron Nitride Thin Films. Arka Chatterjee, Anupam Biswas, Addis S. Fuhr, Tanguy Terlier, Bobby G. Sumpter, Pulickel M. Ajayan, Igor Aharonovich, Shengxi Huang. Science Advances 11, eadv2899, 2025. [DOI]
• Ultrahigh-Purity Single-Photon Emission from 2D WSe₂ via Effective Suppression of Classical Emission. Wenjing Wu, Austin Strasser, Zhihui Xiu, et al., Junichiro Kono, Xiaofeng Qian, Shengxi Huang. Nano Letters 25, 11226–11233, 2025. [DOI]
• Giant and Tunable Bosonic Quantum Interference Induced by Two-Dimensional Metals. Kunyan Zhang, Rinu Maniyara, Yisong Wang, et al., Joshua Robinson, Shengxi Huang. Science Advances 11, eadw1800, 2025. [DOI]
• Multimode Phonon-Polaritons in Lead-Halide Perovskites in the Ultrastrong Coupling Regime. Dasol Kim, Jiaming Hou, et al., Shengxi Huang, et al., Junichiro Kono. Nature Communications 16, 8658, 2025. [DOI]
• Synthesis and Characterization of Nanostructured Topological Materials. Qingfeng Jiang, Arka Chatterjee, Shengxi Huang. Progress in Quantum Electronics 103, 100588, 2025. [DOI]

2024

• Grover-QAOA for 3-SAT: Quadratic Speedup, Fair-Sampling, and Parameter Clustering. Zewen Zhang, Roger Paredes, Bhuvanesh Sundar, David Quiroga, Anastasios Kyrillidis, Leonardo Dueñas-Osorio, Guido Pagano, Kaden R. A. Hazzard. Preprint, 2024. [arXiv]
• Efficient Learning of t-Doped Stabilizer States with Single-Copy Measurements. Nai-Hui Chia, Ching-Yi Lai, Han-Hsuan Lin. Quantum 8, 1250, 2024. [DOI]
• Complexity Theory for Quantum Promise Problems. Nai-Hui Chia, Kai-Min Chung, Tzu-Hsiang Huang, Jhih-Wei Shih. Preprint, 2024. [arXiv]
• Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy. Nai-Hui Chia, Min-Hsiu Hsieh, Shih-Han Hung, En-Jui Kuo. Preprint, 2024. [arXiv]
• PARALLAX: A Compiler for Neutral Atom Quantum Computers under Hardware Constraints. Jason Zev Ludmir, Tirthak Patel. ACM/IEEE Supercomputing (SC), 2024.
• LexiQL: Quantum Natural Language Processing on NISQ-Era Machines. Daniel Silver, Aditya Ranjan, Rakesh Achutha, Tirthak Patel, Devesh Tiwari. ACM/IEEE Supercomputing (SC), 2024.
• ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing. Aditya Ranjan, Tirthak Patel, Daniel Silver, Harshitta Gandhi, Devesh Tiwari. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2024.
• ReCon: Reconfiguring Analog Rydberg Atom Quantum Computers for Quantum Generative Adversarial Networks. Nicholas S. DiBrita, Daniel Leeds, Yuqian Huo, Jason Ludmir, Tirthak Patel. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024.
• Progress and Prospects of Quantum Emission from Perovskites. Arka Chatterjee, Sadie Brasel, Autumn Bruncz, Wenjing Wu, Shengxi Huang. MRS Communications 14, 1015–1026, 2024. [DOI]
• The Role of Chalcogen Vacancies in Single Photon Emission from Monolayer Tungsten Dichalcogenides. Samuel C. Gavin, Charles J. Zeman IV, Ankan Dasgupta, et al., Shengxi Huang, et al., Nathaniel P. Stern. Preprint, 2024. [arXiv]

2023

• On the Need for Large Quantum Depth. Nai-Hui Chia, Kai-Min Chung, Ching-Yi Lai. Journal of the ACM 70(1), Article 6, 2023. [DOI]
• On the Impossibility of General Parallel Fast-Forwarding of Hamiltonian Simulation. Nai-Hui Chia, Kai-Min Chung, Yao-Ching Hsieh, Han-Hsuan Lin, Yao-Ting Lin, Yu-Ching Shen. Computational Complexity Conference (CCC), 2023. [arXiv] · [DOI]
• GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Movement. Tirthak Patel, Daniel Silver, Devesh Tiwari. ACM/IEEE Supercomputing (SC), 2023 (Best Paper Finalist). [DOI]
• Experimental Evaluation of the Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization, and Implications. Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, Daniel Silver, William Cutler, Devesh Tiwari. ACM/IEEE Supercomputing (SC), 2023.
• MosaiQ: Enabling High-Quality Image Generation on Quantum Computers. Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari. IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [arXiv]
• SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari. AAAI Conference on Artificial Intelligence (AAAI), 2023.
• Topology-Stabilized Fluctuations in a Magnetic Nodal Semimetal. Nathan C. Drucker, Thanh Nguyen, Fei Han, et al., Shengxi Huang, Yingying Yu, Mingda Li. Nature Communications 14, 5182, 2023. [DOI]
• Single-Photon Emission from Two-Dimensional Materials, to a Brighter Future. Shreyas Gupta, Wenjing Wu, Shengxi Huang, Boris I. Yakobson. Journal of Physical Chemistry Letters 14, 3274–3284, 2023. [DOI]

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Group members’ full publication lists are available on the individual PI pages linked in the sidebar.