Tensor Networks

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Reinforcement Learning with Tensor Networks: Application to Dynamical Large Deviations

rl-with-tns/acten_code 28 Sep 2022

We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimisation tasks.

1
28 Sep 2022

Verifying Fairness in Quantum Machine Learning

veri-q/fairness 22 Jul 2022

In this work, we define a formal framework for the fairness verification and analysis of quantum machine learning decision models, where we adopt one of the most popular notions of fairness in the literature based on the intuition -- any two similar individuals must be treated similarly and are thus unbiased.

1
22 Jul 2022

PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning

francescomanigrass/proto-ltn 26 Jun 2022

We focus here on the subsumption or \texttt{isOfClass} predicate, which is fundamental to encode most semantic image interpretation tasks.

2
26 Jun 2022

Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks

anonymous-research-entity/recsys2022-cqfs-ttopt 9 May 2022

The problem is formulated as a Quadratic Unconstrained Binary Optimization (QUBO) which, due to its NP-hard complexity, is solved using Quantum Annealing on a quantum computer provided by D-Wave.

1
09 May 2022

Stack operation of tensor networks

veya2ztn/stack_of_tensor_network 28 Mar 2022

The tensor network, as a facterization of tensors, aims at performing the operations that are common for normal tensors, such as addition, contraction and stacking.

1
28 Mar 2022

Exploiting Low-Rank Tensor-Train Deep Neural Networks Based on Riemannian Gradient Descent With Illustrations of Speech Processing

uwjunqi/ttn-vqc 11 Mar 2022

This work focuses on designing low complexity hybrid tensor networks by considering trade-offs between the model complexity and practical performance.

4
11 Mar 2022

Privacy-preserving machine learning with tensor networks

apozas/private-tn 24 Feb 2022

Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning architectures which could present advantages with respect to traditional ones.

3
24 Feb 2022

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data

jackaraz/tnqcircuits 21 Feb 2022

Tensor Networks (TN) are approximations of high-dimensional tensors designed to represent locally entangled quantum many-body systems efficiently.

0
21 Feb 2022

Representing Prior Knowledge Using Randomly, Weighted Feature Networks for Visual Relationship Detection

pavliclab/aaai2022-clear2022-visual_relationship_detection-rwfn AAAI Workshop CLeaR 2022

Furthermore, background knowledge represented by RWFNs can be used to alleviate the incompleteness of training sets even though the space complexity of RWFNs is much smaller than LTNs (1:27 ratio).

3
20 Nov 2021

lambeq: An Efficient High-Level Python Library for Quantum NLP

cqcl/lambeq 8 Oct 2021

We present lambeq, the first high-level Python library for Quantum Natural Language Processing (QNLP).

418
08 Oct 2021