Tootfinder

Quantum Secret Sharing with Classical and Quantum Shares
Hua Sun
https://arxiv.org/abs/2507.17364 https://arxiv.org/pdf/2507.17364

Quantum Secret Sharing with Classical and Quantum Shares
In quantum secret sharing, a quantum secret state is mapped to multiple shares such that shares from qualified sets can recover the secret state and shares from other forbidden sets reveal nothing about the secret state; we study the setting where there are both classical shares and quantum shares. We show that the quantum secret sharing problem with both classical and quantum shares is feasible if and only if any two qualified sets have some quantum share in common. Next, for threshold quantum…

🧲 Scientists find new quantum behavior in unusual superconducting material
https://phys.org/news/2025-08-scientists-quantum-behavior-unusual-superconducting.html

Scientists find new quantum behavior in unusual superconducting material
Researchers at Rice University and collaborating institutions have discovered direct evidence of active flat electronic bands in a kagome superconductor. This breakthrough could pave the way for new methods to design quantum materials—including superconductors, topological insulators and spin-based electronics—that could power future electronics and computing technologies.

Is Measurement Enough? Rethinking Output Validation in Quantum Program Testing
Jiaming Ye, Xiongfei Wu, Shangzhou Xia, Fuyuan Zhang, Jianjun Zhao
https://arxiv.org/abs/2509.16595

Is Measurement Enough? Rethinking Output Validation in Quantum Program Testing
As quantum computing continues to emerge, ensuring the quality of quantum programs has become increasingly critical. Quantum program testing has emerged as a prominent research area within the scope of quantum software engineering. While numerous approaches have been proposed to address quantum program quality assurance, our analysis reveals that most existing methods rely on measurement-based validation in practice. However, due to the inherently probabilistic nature of quantum programs, measu…

Efficient quantum state tomography with auxiliary systems
Wenlong Zhao, Da Zhang, Huili Zhang, Haifeng Yu, Zhang-qi Yin
https://arxiv.org/abs/2507.16532 ht…

Efficient quantum state tomography with auxiliary systems
Quantum state tomography is a technique in quantum information science used to reconstruct the density matrix of an unknown quantum state, providing complete information about the quantum state. It is of significant importance in fields such as quantum computation, quantum communication, and quantum simulation. However, as the size of the quantum system increases, the number of measurement settings and sampling requirements for quantum state tomography grow exponentially with the number of qubi…

Quantum Autoencoder: An efficient approach to quantum feature map generation
Shengxin Zhuang, Yusen Wu, Xavier F. Cadet, Du Q. Huynh, Wei Liu, Philippe Charton, Cedric Damour, Frederic Cadet, Jingbo B. Wang
https://arxiv.org/abs/2509.19157

Quantum Autoencoder: An efficient approach to quantum feature map generation
Quantum machine learning methods often rely on fixed, hand-crafted quantum encodings that may not capture optimal features for downstream tasks. In this work, we study the power of quantum autoencoders in learning data-driven quantum representations. We first theoretically demonstrate that the quantum autoencoder method is efficient in terms of sample complexity throughout the entire training process. Then we numerically train the quantum autoencoder on 3 million peptide sequences, and evaluate…

Quantum Software Security Challenges within Shared Quantum Computing Environments
Samuel Ovaskainen, Majid Haghparast, Tommi Mikkonen
https://arxiv.org/abs/2507.17712 https://…

Quantum Software Security Challenges within Shared Quantum Computing Environments
The number of qubits in quantum computers keeps growing, but most quantum programs remain relatively small because of the noisy nature of the underlying quantum hardware. This might lead quantum cloud providers to explore increased hardware utilization, and thus profitability through means such as multi-programming, which would allow the execution of multiple programs in parallel. The adoption of such technology would bring entirely new challenges to the field of quantum software security. This…

Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation
Chenyi Zhang, Tao Shang, Xueyi Guo
https://arxiv.org/abs/2507.17589 https://

Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation
With the rapid advancement of quantum computing, quantum compilation has become a crucial layer connecting high-level algorithms with physical hardware. In quantum cloud computing, compilation is performed on the cloud side, which exposes user circuits to potential risks such as structural leakage and output predictability. To address these issues, we propose the encrypted-state quantum compilation scheme based on quantum circuit obfuscation (ECQCO), the first secure compilation framework tailo…

Re-uploading quantum data: A universal function approximator for quantum inputs
Hyunho Cha, Daniel K. Park, Jungwoo Lee
https://arxiv.org/abs/2509.18530 https://

Re-uploading quantum data: A universal function approximator for quantum inputs
Quantum data re-uploading has proved powerful for classical inputs, where repeatedly encoding features into a small circuit yields universal function approximation. Extending this idea to quantum inputs remains underexplored, as the information contained in a quantum state is not directly accessible in classical form. We propose and analyze a quantum data re-uploading architecture in which a qubit interacts sequentially with fresh copies of an arbitrary input state. The circuit can approximate …

Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms
Refaat Ismail, I-Chi Chen, Chen Zhao, Ronen Weiss, Fangli Liu, Hengyun Zhou, Sheng-Tao Wang, Andrew Sornborger, Milan Kornja\v{c}a
https://arxiv.org/abs/2509.18294

Quantum-memory-assisted on-demand microwave-optical transduction
Hai-Tao Tu, Kai-Yu Liao, Si-Yuan Qiu, Xiao-Hong Liu, Yi-Qi Guo, Zheng-Qi Du, Yang Xu, Xin-Ding Zhang, Hui Yan, Shi-Liang Zhu
https://arxiv.org/abs/2509.18834