152 citations · 574 across the 21 of their papers we have counts for
22 papers
Louvre: Relaxing Hardware Requirements of Quantum LDPC Codes by Routing with Expanded Quantum Instruction Set
Runshi Zhou, Fang Zhang, Hui-Hai Zhao +3
Generalized bicycle codes (GB codes) represent a promising family of quantum low-density parity-check codes, characterized by high code rates and relatively local qubit connectivit…
Identify and Quantify Various Dissipation Mechanisms of Josephson Junction in Superconducting Circuits
Hao Deng, Huijuan Zhan, Lijuan Hu +12
Pinpointing the dissipation mechanisms and evaluating their impacts to the performance of Josephson junction (JJ) are crucial for its application in superconducting circuits. In th…
Routing-based technique for defect mitigation in quantum error correction
Runshi Zhou, Fang Zhang, Linghang Kong +3
As quantum chips scale up for large-scale computation, hardware defects become inevitable and must be carefully addressed. In this work, we introduce Halma, a defect mitigation tec…
SuperGrad: a differentiable simulator for superconducting processors
Ziang Wang, Feng Wu, Hui-Hai Zhao +2
One significant advantage of superconducting processors is their extensive design flexibility, which encompasses various types of qubits and interactions. Given the large number of…
Efficient initialization of fluxonium qubits based on auxiliary energy levels
Tenghui Wang, Feng Wu, Fei Wang +13
Fast and high-fidelity qubit initialization is crucial for low-frequency qubits such as fluxonium, and in applications of many quantum algorithms and quantum error correction codes…
The effects of disorder in superconducting materials on qubit coherence
Ran Gao, Feng Wu, Hantao Sun +13
Introducing disorderness in the superconducting materials has been considered promising to enhance the electromagnetic impedance and realize noise-resilient superconducting qubits.…
Native approach to controlled-Z gates in inductively coupled fluxonium qubits
Xizheng Ma, Gengyan Zhang, Feng Wu +27
The fluxonium qubits have emerged as a promising platform for gate-based quantum information processing. However, their extraordinary protection against charge fluctuations comes a…
Characterization of loss mechanisms in a fluxonium qubit
Hantao Sun, Feng Wu, Hsiang-Sheng Ku +9
Using a fluxonium qubit with in situ tunability of its Josephson energy, we characterize its energy relaxation at different flux biases as well as different Josephson energy values…
Titanium Nitride Film on Sapphire Substrate with Low Dielectric Loss for Superconducting Qubits
Hao Deng, Zhijun Song, Ran Gao +19
Dielectric loss is one of the major decoherence sources of superconducting qubits. Contemporary high-coherence superconducting qubits are formed by material systems mostly consisti…
Integrating Quantum Processor Device and Control Optimization in a Gradient-based Framework
Xiaotong Ni, Hui-Hai Zhao, Lei Wang +2
In a quantum processor, the device design and external controls together contribute to the quality of the target quantum operations. As we continuously seek better alternative qubi…
Fluxonium: an alternative qubit platform for high-fidelity operations
Feng Bao, Hao Deng, Dawei Ding +25
Superconducting qubits provide a promising path toward building large-scale quantum computers. The simple and robust transmon qubit has been the leading platform, achieving multipl…
Ultrahigh-inductance materials from spinodal decomposition
Ran Gao, Hsiang-Sheng Ku, Hao Deng +10
Disordered superconducting nitrides with kinetic inductance have long been considered a leading material candidate for high-inductance quantum-circuit applications. Despite continu…
Quantum Instruction Set Design for Performance
Cupjin Huang, Tenghui Wang, Feng Wu +10
A quantum instruction set is where quantum hardware and software meet. We develop new characterization and compilation techniques for non-Clifford gates to accurately evaluate diff…
Free Mode Removal and Mode Decoupling for Simulating General Superconducting Quantum Circuits
Dawei Ding, Hsiang-Sheng Ku, Yaoyun Shi +1
Superconducting quantum circuits is one of the leading candidates for a universal quantum computer. Designing novel qubit and multiqubit superconducting circuits requires the abili…
Alibaba Cloud Quantum Development Platform: Surface Code Simulations with Crosstalk
Cupjin Huang, Xiaotong Ni, Fang Zhang +11
We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform (AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum co…
Automatic Differentiation for Second Renormalization of Tensor Networks
Bin-Bin Chen, Yuan Gao, Yi-Bin Guo +7
Tensor renormalization group (TRG) constitutes an important methodology for accurate simulations of strongly correlated lattice models. Facilitated by the automatic differentiation…
Compressing deep neural networks by matrix product operators
Ze-Feng Gao, Song Cheng, Rong-Qiang He +4
A deep neural network is a parametrization of a multilayer mapping of signals in terms of many alternatively arranged linear and nonlinear transformations. The linear transformatio…
Tensor Renormalization Group with Randomized Singular Value Decomposition
Satoshi Morita, Ryo Igarashi, Hui-Hai Zhao +1
An algorithm of the tensor renormalization group is proposed based on a randomized algorithm for singular value decomposition. Our algorithm is applicable to a broad range of two-d…
Variational Monte Carlo method for fermionic models combined with tensor networks and applications to the hole-doped two-dimensional Hubbard model
Hui-Hai Zhao, Kota Ido, Satoshi Morita +1
The conventional tensor-network states employ real-space product states as reference wave functions. Here, we propose a many-variable variational Monte Carlo (mVMC) method combined…
A generalized Lanczos method for systematic optimization of tensor network states
Rui-Zhen Huang, Hai-Jun Liao, Zhi-Yuan Liu +5
We propose a generalized Lanczos method to generate the many-body basis states of quantum lattice models using tensor-network states (TNS). The ground-state wave function is repres…
Tensor network algorithm by coarse-graining tensor renormalization on finite periodic lattices
Hui-Hai Zhao, Zhi-Yuan Xie, Tao Xiang +1
We develop coarse-graining tensor renormalization group algorithms to compute physical properties of two-dimensional lattice models on finite periodic lattices. Two different coars…
Plaquette order and deconfined quantum critical point in the spin-1 bilinear-biquadratic Heisenberg model on the honeycomb lattice
H. H. Zhao, Cenke Xu, Q. N. Chen +4
We have precisely determined the ground state phase diagram of the quantum spin-1 bilinear-biquadratic Heisenberg model on the honeycomb lattice using the tensor renormalization gr…