8 papers
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…
Compiler Framework for 3D Neutral-Atom Quantum Computers
Chen Huang, Zhemin Zhang, Zhao Zhang +2
Neutral-atom quantum computers can now arrange atoms in three-dimensional tweezer arrays, yet every existing compiler assumes a flat geometry. We present Piqasso, a compiler that e…
BRIDGE: Lazy-Move Compilation for Dual-Species Neutral-Atom Quantum Computers
Chen Huang, Jingbo Wang, Zhemin Zhang +5
Neutral-atom quantum computers commonly connect distant qubits by transporting atoms, incurring trap-handover errors, heating, and atom loss. We present BRIDGE (Buffer-Relay Interc…
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…
Photonic Quantum Computing on Spin Memory Architecture with Tree-Encoded Fusion
Xiangyu Ren, Yuexun Huang, Zhemin Zhang +4
Photonic quantum computing provides a promising route toward quantum computation by naturally supporting the measurement-based quantum computation (MBQC) model. In MBQC, programs a…
MERA: A Mid-Circuit-Measurement Error-Aware Compilation Framework for Quantum Circuits
Ming Zhong, Zhemin Zhang, Xiangyu Ren +3
Mid-circuit measurement (MCM) enables qubit reuse and dynamic control in quantum processors, underpinning resource-efficient algorithms and quantum error correction. However, MCM i…
Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
Yifeng Peng, Xinyi Li, Zhemin Zhang +3
Variational Quantum Algorithms (VQAs) have gained prominence as a viable framework for exploiting near-term quantum devices in applications ranging from optimization and chemistry…
Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau?
Yifeng Peng, Xinyi Li, Zhemin Zhang +3
Variational quantum algorithms (VQAs) have emerged as a leading paradigm in near-term quantum computing, yet their performance can be hindered by the so-called barren plateau probl…