A5030945013- Quantum many-body systems
- Machine Learning in Materials Science
- Quantum and electron transport phenomena
- High-Voltage Power Transmission Systems
- Advanced Chemical Physics Studies
- Quantum Computing Algorithms and Architecture
- Security and Verification in Computing
- Quantum Information and Cryptography
- Advanced Physical and Chemical Molecular Interactions
- Distributed systems and fault tolerance
- Power System Optimization and Stability
- Quantum Mechanics and Applications
- HVDC Systems and Fault Protection
- Cryptography and Data Security
- Spectroscopy and Quantum Chemical Studies
- Power Systems and Renewable Energy
Tsinghua University
2022-2025
The advent of Neural-network Quantum States (NQS) has significantly advanced wave function ansatz research, sparking a resurgence in orbital space variational Monte Carlo (VMC) exploration. This work introduces three algorithmic enhancements to reduce computational demands VMC optimization using NQS: an adaptive learning rate algorithm, constrained optimization, and block optimization. We evaluate the refined algorithm on complex multireference bond stretches H2O N2 within cc-pVDZ basis set...
Dissipative engineering is a powerful tool for quantum state preparation, and has drawn significant attention in algorithms many-body physics recent years. In this work, we introduce novel approach using the Lindblad dynamics to efficiently prepare ground general ab initio electronic structure problems on computers, without variational parameters. These often involve Hamiltonians that lack geometric locality or sparsity structures, which address by proposing two generic types of jump...
There may be complex interaction between the converter control systems of wind power and MMC-HVDC, which will lead to sub-/super-synchronous oscillation threaten safe stable operation system. The relevant events have been reported in Guangdong Nan'ao, Shanghai Nanhui Zhangbei projects. Rudong offshore project is first transmission system China, it still under construction. Therefore, great significance carry out research on risk analysis suppression measures sub-synchronous MMC-HVDC First,...
The matrix product state (MPS) ansatz offers a promising approach for finding the ground of molecular Hamiltonians and solving quantum chemistry problems. Building on this concept, proposed technique circuit MPS (QCMPS) enables simulation chemical systems using relatively small number qubits. In study, we enhance optimization performance QCMPS by employing variational imaginary time evolution (VarQITE) approach. Guided McLachlan's principle, VarQITE method provides analytical metrics...
The matrix product state (MPS) Ansatz offers a promising approach for finding the ground of molecular Hamiltonians and solving quantum chemistry problems. Building on this concept, proposed technique circuit MPS (QCMPS) enables simulation chemical systems using relatively small number qubits. In study, we enhance optimization performance QCMPS by employing variational imaginary time evolution (VarQITE) approach. Guided McLachlan's principle, VarQITE method provides analytical metrics...
Neural-network quantum states (NQS) employ artificial neural networks to encode many-body wave functions in second quantization through variational Monte Carlo (VMC). They have recently been applied accurately describe electronic of molecules and shown the challenges efficiency comparing with traditional chemistry methods. Here we introduce a general non-stochastic optimization algorithm for NQS chemical systems, which deterministically generates selected set important configurations...
A subsynchronous oscillation event was observed in a power system with high penetration of renewables North-East China. The impact this is extensive, and it at substations distributed different locations. This paper analyses the characteristics based on field-measured data. Firstly, operation conditions are described, frequencies analysed. Then, revealed by field-recorded impedance wind generators transmission lines calculated. results show that photovoltaic plant presents negative...