456 citations · 1.7k across the 24 of their papers we have counts for
26 papers
CoDecoder: Make Quantum Decoders Up to 100x Faster and Even More Accurate
Yicheng Guang, Yuliang Xiong, Xun Gao +1
Fault-tolerant quantum computers need fast and accurate error decoding. We present CoDecoder, a small neural frontend that composes with an existing decoder to improve accuracy and…
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…
A polynomial-time classical algorithm for noisy random circuit sampling
Dorit Aharonov, Xun Gao, Zeph Landau +2
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse poly…
Expressive Quantum Perceptrons for Quantum Neuromorphic Computing
Rodrigo Araiza Bravo, Khadijeh Najafi, Taylor L. Patti +2
Quantum neuromorphic computing (QNC) is a sub-field of quantum machine learning (QML) that capitalizes on inherent system dynamics. As a result, QNC can run on contemporary, noisy…
Interpretable Quantum Advantage in Neural Sequence Learning
Eric R. Anschuetz, Hong-Ye Hu, Jin-Long Huang +1
Quantum neural networks have been widely studied in recent years, given their potential practical utility and recent results regarding their ability to efficiently express certain…
Many-body localized hidden generative models
Weishun Zhong, Xun Gao, Susanne F. Yelin +1
Born machines are quantum-inspired generative models that leverage the probabilistic nature of quantum states. Here, we present a new architecture called many-body localized (MBL)…
Ultrafast adiabatic passages in ultrastrongly coupled light-matter systems
Xun Gao, Liwei Duan, Pinghua Tang +4
We have obtained the solutions of the multimode quantum Rabi model when all modes have identical frequencies , including dark states with at least $(K=1,2,3,\l…
Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays
Sepehr Ebadi, Alexander Keesling, Madelyn Cain +21
Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qu…
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…
Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage
Xun Gao, Marcin Kalinowski, Chi-Ning Chou +3
Demonstrating quantum advantage requires experimental implementation of a computational task that is hard to achieve using state-of-the-art classical systems. One approach is to pe…
Quantum reservoir computing using arrays of Rydberg atoms
Rodrigo Araiza Bravo, Khadijeh Najafi, Xun Gao +1
Quantum computing promises to provide machine learning with computational advantages. However, noisy intermediate-scale quantum (NISQ) devices pose engineering challenges to realiz…
Enhancing Generative Models via Quantum Correlations
Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang +2
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce…
Entanglement Devised Barren Plateau Mitigation
Taylor L. Patti, Khadijeh Najafi, Xun Gao +1
Hybrid quantum-classical variational algorithms are one of the most propitious implementations of quantum computing on near-term devices, offering classical machine learning suppor…
Classical Simulation of Quantum Supremacy Circuits
Cupjin Huang, Fang Zhang, Michael Newman +10
It is believed that random quantum circuits are difficult to simulate classically. These have been used to demonstrate quantum supremacy: the execution of a computational task on a…
Spoofing Linear Cross-Entropy Benchmarking in Shallow Quantum Circuits
Boaz Barak, Chi-Ning Chou, Xun Gao
The linear cross-entropy benchmark (Linear XEB) has been used as a test for procedures simulating quantum circuits. Given a quantum circuit with inputs and outputs and purp…
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…
Alibaba Cloud Quantum Development Platform: Applications to Quantum Algorithm Design
Cupjin Huang, Mario Szegedy, Fang Zhang +3
We report our work on the Alibaba Cloud Quantum Development Platform (AC-QDP). The capability of AC-QDP's computational engine was already reported in \cite{CZH+18, ZHN+19}.In this…
Alibaba Cloud Quantum Development Platform: Large-Scale Classical Simulation of Quantum Circuits
Fang Zhang, Cupjin Huang, Michael Newman +10
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 com…
Efficient Representation of Topologically Ordered States with Restricted Boltzmann Machines
Sirui Lu, Xun Gao, L. -M. Duan
Representation by neural networks, in particular by restricted Boltzmann machines (RBM), has provided a powerful computational tool to solve quantum many-body problems. An importan…
Efficient classical simulation of noisy quantum computation
Xun Gao, Luming Duan
Understanding the boundary between classical simulatability and the power of quantum computation is a fascinating topic. Direct simulation of noisy quantum computation requires sol…
An efficient quantum algorithm for generative machine learning
Xun Gao, Zhengyu Zhang, Luming Duan
A central task in the field of quantum computing is to find applications where quantum computer could provide exponential speedup over any classical computer. Machine learning repr…
Can Chaotic Quantum Circuits Maintain Quantum Supremacy under Noise?
Man-Hong Yung, Xun Gao
Although the emergence of a fully-functional quantum computer may still be far away from today, in the near future, it is possible to have medium-size, special-purpose, quantum dev…
Efficient Representation of Quantum Many-body States with Deep Neural Networks
Xun Gao, Lu-Ming Duan
The challenge of quantum many-body problems comes from the difficulty to represent large-scale quantum states, which in general requires an exponentially large number of parameters…
Experimental Study of Forrelation in Nuclear Spins
Hang Li, Xun Gao, Tao Xin +2
Correlation functions are often employed to quantify the relationships among interdependent variables or sets of data. Recently, a new class of correlation functions, called Forrel…