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09/12/2023
Quantum Data Center: Perspectives
A quantum version of data centers might be significant in the quantum er...
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07/25/2023
Fundamental causal bounds of quantum random access memories
Quantum devices should operate in adherence to quantum physics principle...
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04/17/2023
Adjustment with Many Regressors Under Covariate-Adaptive Randomizations
Our paper identifies a trade-off when using regression adjustments (RAs)...
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03/20/2023
Supercomputing tensor networks for U(1) symmetric quantum many-body systems
Simulation of many-body systems is extremely computationally intensive, ...
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03/06/2023
Towards provably efficient quantum algorithms for large-scale machine-learning models
Large machine learning models are revolutionary technologies of artifici...
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01/30/2023
Complexity of Gaussian boson sampling with tensor networks
Gaussian boson sampling, a computational model that is widely believed t...
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10/13/2022
Noise can be helpful for variational quantum algorithms
Saddle points constitute a crucial challenge for first-order gradient de...
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09/23/2022
Robust Domain Adaptation for Machine Reading Comprehension
Most domain adaptation methods for machine reading comprehension (MRC) u...
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07/28/2022
Quantum Data Center: Theories and Applications
In this paper, we propose the Quantum Data Center (QDC), an architecture...
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06/19/2022
Laziness, Barren Plateau, and Noise in Machine Learning
We define laziness to describe a large suppression of variational parame...
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05/19/2022
Estimating the frame potential of large-scale quantum circuit sampling using tensor networks up to 50 qubits
We develop numerical protocols for estimating the frame potential, the 2...
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03/08/2022
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations
Building robust and general dialogue models for spoken conversations is ...
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01/31/2022
Regression Adjustments under Covariate-Adaptive Randomizations with Imperfect Compliance
We study regression adjustments with additional covariates in randomized...
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11/13/2021
Finite Rate QLDPC-GKP Coding Scheme that Surpasses the CSS Hamming Bound
Quantum error correction has recently been shown to benefit greatly from...
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11/08/2021
Representation Learning via Quantum Neural Tangent Kernels
Variational quantum circuits are used in quantum machine learning and va...
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05/31/2021
Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
This paper examines regression-adjusted estimation and inference of unco...
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03/02/2020
Long Short-Term Sample Distillation
In the past decade, there has been substantial progress at training incr...
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12/21/2018
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
The wide spread use of online recruitment services has led to informatio...
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03/08/2018