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20082021
most citedFluxonium: an alternative qubit platform for high-fidelity operations

152 citations · 410 across the 12 of their papers we have counts for

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12 papers · 1 filter

quant-ph2021★ 3 cited

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…

quant-ph2021★ 152 cited

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…

quant-ph2021★ 50 cited

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…

quant-ph2020★ 8 cited

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…

quant-ph2018★ 34 cited

Neural Network Decoders for Large-Distance 2D Toric Codes

Xiaotong Ni

We still do not have perfect decoders for topological codes that can satisfy all needs of different experimental setups. Recently, a few neural network based decoders have been stu…

quant-ph2017★ 51 cited

Scalable Neural Network Decoders for Higher Dimensional Quantum Codes

Nikolas P. Breuckmann, Xiaotong Ni

Machine learning has the potential to become an important tool in quantum error correction as it allows the decoder to adapt to the error distribution of a quantum chip. An additio…

quant-ph2016★ 69 cited

Using Recurrent Neural Networks to Optimize Dynamical Decoupling for Quantum Memory

Moritz August, Xiaotong Ni

We utilize machine learning models which are based on recurrent neural networks to optimize dynamical decoupling (DD) sequences. DD is a relatively simple technique for suppressing…

quant-ph2016★ 1 cited

Preparing topologically ordered states by Hamiltonian interpolation

Xiaotong Ni, Fernando Pastawski, Beni Yoshida +1

We study the preparation of topologically ordered states by interpolating between an initial Hamiltonian with a unique product ground state and a Hamiltonian with a topologically d…

quant-ph2014★ 31 cited

A Non-Commuting Stabilizer Formalism

Xiaotong Ni, Oliver Buerschaper, Maarten Van den Nest

We propose a non-commutative extension of the Pauli stabilizer formalism. The aim is to describe a class of many-body quantum states which is richer than the standard Pauli stabili…

quant-ph2012★ 11 cited

Commuting quantum circuits: efficient classical simulations versus hardness results

Xiaotong Ni, Maarten Van den Nest

The study of quantum circuits composed of commuting gates is particularly useful to understand the delicate boundary between quantum and classical computation. Indeed, while being…

quant-ph2009

Enhanced squeezing with parity kicks

Xiao-Tong Ni, Yu-Xi Liu, L C Kwek +1

Using exponential quadratic operators, we present a general framework for studying the exact dynamics of system-bath interaction in which the Hamiltonian is described by the quadra…

quant-ph2008

A Unified Quantum NOT Gate

Z. W. Yu, X. T. Ni, L. C. Kwek +1

We study the feasibility of implementing a quantum NOT gate (approximate) when the quantum state lies between two latitudes on the Bloch's sphere and present an analytical formula…