92 citations · 108 across the 8 of their papers we have counts for
8 papers
Quantum-Resistant Quantum Teleportation
Xin Jin, Nitish Kumar Chandra, Mohadeseh Azari +4
We propose a quantum-resistant quantum teleportation (QRQT) framework protected by post-quantum cryptography (PQC) to secure the classical correction channel, which is vulnerable t…
Four Generations of Quantum Biomedical Sensors
Xin Jin, Priyam Srivastava, Ronghe Wang +7
Quantum sensing technologies offer transformative potential for ultra-sensitive biomedical sensing, yet their clinical translation remains constrained by classical noise limits and…
Quantum-Resistant Networks Using Post-Quantum Cryptography
Xin Jin, Nitish Kumar Chandra, Mohadeseh Azari +2
Quantum networks rely on both quantum and classical channels for coordinated operation. Current architectures employ entanglement distribution and key exchange over quantum channel…
Learning with errors may remain hard against quantum holographic attacks
Yunfei Wang, Xin Jin, Junyu Liu
The Learning with Errors (LWE) problem underlies modern lattice-based cryptography and is assumed to be quantum hard. Recent results show that estimating entanglement entropy is as…
The Efficiency Frontier: Classical Shadows versus Direct Quantum Measurement
Shuowei Ma, Junyu Liu
Interfacing quantum and classical processors is an important subroutine in full-stack quantum algorithms. The so-called ``classical shadow'' method efficiently extracts essential c…
A Perspective on Quantum Computing Applications in Quantum Chemistry using 25--100 Logical Qubits
Yuri Alexeev, Victor S. Batista, Nicholas Bauman +27
The intersection of quantum computing and quantum chemistry represents a promising frontier for achieving quantum utility in domains of both scientific and societal relevance. Owin…
Towards efficient quantum algorithms for diffusion probabilistic models
Yunfei Wang, Ruoxi Jiang, Yingda Fan +4
A diffusion probabilistic model (DPM) is a generative model renowned for its ability to produce high-quality outputs in tasks such as image and audio generation. However, training…
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
Yunfei Wang, Junyu Liu
Quantum machine learning, which involves running machine learning algorithms on quantum devices, has garnered significant attention in both academic and business circles. In this p…