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Found 12 papers, 0 papers with code
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-norm distance between a given ensemble and the exact Haar randomness, using the \texttt{QTensor} platform.
An analytic theory for the dynamics of wide quantum neural networks
We define wide quantum neural networks as parameterized quantum circuits in the limit of a large number of qubits and variational parameters.
Towards Generalized Models for Task-oriented Dialogue Modeling on Spoken Conversations
Building robust and general dialogue models for spoken conversations is challenging due to the gap in distributions of spoken and written data.
Regression Adjustments under Covariate-Adaptive Randomizations with Imperfect Compliance
We study regression adjustments with additional covariates in randomized experiments under covariate-adaptive randomizations (CARs) when subject compliance is imperfect.
Representation Learning via Quantum Neural Tangent Kernels
We analytically solve the dynamics in the frozen limit, or lazy training regime, where variational angles change slowly and a linear perturbation is good enough.
Regression-Adjusted Estimation of Quantile Treatment Effects under Covariate-Adaptive Randomizations
We establish the consistency and limit distribution of the regression-adjusted QTE estimator and prove that the use of multiplier bootstrap inference is non-conservative under CARs.
Classical simulation of bosonic linear-optical random circuits beyond linear light cone
Sampling from probability distributions of quantum circuits is a fundamentally and practically important task which can be used to demonstrate quantum supremacy using noisy intermediate-scale quantum devices.
Quantum Physics
Single-shot number-resolved detection of microwave photons with error mitigation
This detector functions by measuring a series of generalized parity operators which make up the bits in the binary decomposition of the photon number.
Quantum Physics
Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs
This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs).
Long Short-Term Sample Distillation
The long-term teacher draws on snapshots from several epochs ago in order to provide steadfast guidance and to guarantee teacher--student differences, while the short-term one yields more up-to-date cues with the goal of enabling higher-quality updates.
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
The wide spread use of online recruitment services has led to information explosion in the job market.
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks
Generating poetry from images is much more challenging than generating poetry from text, since images contain very rich visual information which cannot be described completely using several keywords, and a good poem should convey the image accurately.
