most citedQuantum-machine-assisted Drug Discovery

10 citations · 10 across the 11 of their papers we have counts for

collaborators

11 papers

quant-ph2026

SQD-Enabled Circuit Compression for Resource-Efficient Quantum Chemistry

Kangyu Zheng, Yidong Zhou, Jinglei Cheng +3

Sample-based Quantum Diagonalization (SQD) recovers ground-state energies by classically diagonalizing a Hamiltonian in the subspace spanned by quantum samples, requiring only bits…

physics.chem-ph2026

Q-Score: A Quantum-Native Scoring Function for Molecular Docking

Kangyu Zheng, Yidong Zhou, Ruihao Li +3

Molecular docking predicts how a small molecule binds to a protein and is a key bottleneck in drug discovery. Classical scoring functions sum empirical pairwise contacts, blind to…

cs.AR2026

Coset Ensemble Decoder for Quantum Error Correction with Algorithm-Hardware Co-Design

Shuang Liang, Jubo Xu, Giulio Bassanino +8

Reliable large-scale quantum computation relies on fault-tolerant architectures, where quantum error correction (QEC) continuously extracts and decodes error syndromes in real time…

quant-ph2026

Compiler Framework for Directional Transport in Zoned Neutral Atom Systems with AOD Assistance: A Hybrid Remote CZ Approach

Lingyi Kong, Chen Huang, Zhemin Zhang +4

We present a directional-transport (DT)-based remote CZ gate and compiler for zoned neutral-atom arrays that overcomes movement-bound entanglement limitations. Current AOD-based sh…

quant-ph2026

Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding

Yidong Zhou, Lingyi Kong, Yifeng Peng +1

The advent of promising quantum error correction (QEC) codes with efficient resource utilization and high-performance fault-tolerant quantum memories signifies a critical step towa…

quant-ph2024

Leveraging Hardware Power through Optimal Pulse Profiling for Each Qubit Pair

Yuchen Zhu, Jinglei Cheng, Boxi Li +3

In the scaling development of quantum computers, the calibration process emerges as a critical challenge. Existing calibration methods, utilizing the same pulse waveform for two-qu…

quant-ph2024

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout

Kecheng Liu, Yidong Zhou, Haochen Luo +6

In this paper, we propose an efficient compilation method for distributed quantum computing (DQC) using the Linear Nearest Neighbor (LNN) architecture. By exploiting the LNN topolo…

quant-ph2024

A comparison on constrain encoding methods for quantum approximate optimization algorithm

Yiwen Liu, Qingyue Jiao, Yidong Zhou +4

The Quantum Approximate Optimization Algorithm (QAOA) represents a significant opportunity for practical quantum computing applications, particularly in the era before error correc…

quant-ph2024

Coqa: Blazing Fast Compiler Optimizations for QAOA

Yuchen Zhu, Yidong Zhou, Jinglei Cheng +4

The Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage over classical computers. However, existing compilers…

quant-ph2024★ 10 cited

Quantum-machine-assisted Drug Discovery

Yidong Zhou, Jintai Chen, Jinglei Cheng +8

Drug discovery is lengthy and expensive, with traditional computer-aided design facing limits. This paper examines integrating quantum computing across the drug development cycle t…

quant-ph2024

EPOC: A Novel Pulse Generation Framework Incorporating Advanced Synthesis Techniques for Quantum Circuits

Jinglei Cheng, Yuchen Zhu, Yidong Zhou +3

In this paper we propose EPOC, an efficient pulse generation framework for quantum circuits that combines ZX-Calculus, circuit partitioning, and circuit synthesis to accelerate pul…