Minzhao Liu

According to our database, Minzhao Liu authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Digital signatures with classical shadows on near-term quantum computers.

Pradeep Niroula, Minzhao Liu, Sivaprasad Omanakuttan, David Amaro, Shouvanik Chakrabarti, Soumik Ghosh, Zichang He, Yuwei Jin, Fatih Kaleoglu, Steven Kordonowy, Rohan Kumar, Michael A. Perlin, Akshay Seshadri, Matthew Steinberg, Joseph Sullivan, Jacob Watkins, Henry Yuen, Ruslan Shaydulin

CoRR, February, 2026

2025

Certified randomness using a trapped-ion quantum processor.

Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia

Nat., April, 2025

Certified randomness using a trapped-ion quantum processor.

Minzhao Liu, Ruslan Shaydulin, Pradeep Niroula, Matthew DeCross, Shih-Han Hung, Wen Yu Kon, Enrique Cervero Martín, Kaushik Chakraborty, Omar Amer, Scott Aaronson, Atithi Acharya, Yuri Alexeev, K. Jordan Berg, Shouvanik Chakrabarti, Florian J. Curchod, Joan M. Dreiling, Neal Erickson, Cameron Foltz, Michael Foss-Feig, David Hayes, Travis S. Humble, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Michael Mills, Steven A. Moses, Brian Neyenhuis, Shaltiel Eloul, Peter Siegfried, James Walker, Charles Lim, Marco Pistoia

CoRR, March, 2025

Applications of Certified Randomness.

Omar Amer, Shouvanik Chakrabarti, Kaushik Chakraborty, Shaltiel Eloul, Niraj Kumar, Charles Lim, Minzhao Liu, Pradeep Niroula, Yash Satsangi, Ruslan Shaydulin, Marco Pistoia

CoRR, March, 2025

Towards Symmetry-Aware Efficient Simulation of Quantum Systems and Beyond.

Min Chen, Minzhao Liu, Changhun Oh, Liang Jiang, Yuri Alexeev, Junyu Liu

Proceedings of the 7th IEEE International Conference on Trust, 2025

2024

Certified Randomness implies Secure Classical Position-Verification.

Omar Amer, Kaushik Chakraborty, David Cui, Fatih Kaleoglu, Charles Lim, Minzhao Liu, Marco Pistoia

IACR Cryptol. ePrint Arch., 2024

2023

Supercomputing tensor networks for U(1) symmetric quantum many-body systems.

Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev

CoRR, 2023

Towards provably efficient quantum algorithms for large-scale machine-learning models.

Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang

CoRR, 2023

Complexity of Gaussian boson sampling with tensor networks.

Minzhao Liu, Changhun Oh, Junyu Liu, Liang Jiang, Yuri Alexeev

CoRR, 2023

2022

Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits.

Minzhao Liu, Junyu Liu, Yuri Alexeev, Liang Jiang

CoRR, 2022

Embedding Learning in Hybrid Quantum-Classical Neural Networks.

Minzhao Liu, Junyu Liu, Rui Liu, Henry Makhanov, Danylo Lykov, Anuj Apte, Yuri Alexeev

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022