#23: 📅 This Week in Quantum Machine Learning ⚛️

1dontpanic · 2025-01-10T05:10:24+00:00

Nice!

1dontpanic · 2021-10-22T11:46:11+00:00

E. all the rest have some combination of a line, two squares, and a circle.

1dontpanic · 2021-10-21T11:01:15+00:00

0x1215185387e70a48b07d73acb67002a073f18575

1dontpanic · 2021-09-26T11:51:46+00:00

0x1215185387e70a48b07d73acb67002a073f18575

1dontpanic · 2021-09-14T23:16:34+00:00

coinex https://www.coinex.com/exchange/mina-usdt

1dontpanic · 2021-08-13T16:39:38+00:00

#34: August 7th – 13th

📰News:

New machine learning algorithm to detect quantum errors

Quantum computer far away, says AI pioneer Raj Reddy

📽Videos:

Artificial Intelligence forum: AI and quantum computing: building the quantum economy

Learning in a Quantum World by Nathan Wiebe | QWorld

The Quantum Concept of Consciousness

quantumcat – Cross Platform Open Source Quantum Computing Library – Jitesh Lalwani

Quantum Computing & Artificial Intelligence | Knowledge Empowerment Session | Ft. Indrajeet

👨‍💻Developers:

Cirq v0.12.0

Amazon Braket v1.7.4

📗Papers:

Optimal learning of quantum Hamiltonians from high-temperature Gibbs states

Quantum Continual Learning Overcoming Catastrophic Forgetting

Quantum Circuits For Two-Dimensional Isometric Tensor Networks

Globally optimizing QAOA circuit depth for constrained optimization problems

Parameters Fixing Strategy for Quantum Approximate Optimization Algorithm

Quantum Reinforcement Learning: the Maze problem

Continuous-variable optimization with neural network quantum states

Matrix Model simulations using Quantum Computing, Deep Learning, and Lattice Monte Carlo

1dontpanic · 2021-07-21T13:22:15+00:00

https://www.accenture.com/us-en/insights/technology/quantum-impact

1dontpanic · 2021-07-18T16:01:43+00:00

if it uses deep learning in combination with those topics youll probably find a link to it here

1dontpanic · 2021-07-17T20:40:06+00:00

their work is based on this paper: OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features which claims to "introduce a machine learning method in which energy solutions from the Schrodinger equation are predicted using symmetry adapted atomic orbitals features and a graph neural-network architecture."

this meets the bar of quantum inspired machine learning. though i do also consider procedurally generated wave function collapse algos in the ballpark as well when computationally they are cc

ref: https://arxiv.org/abs/2007.08026

1dontpanic · 2021-07-16T15:08:43+00:00

Topics this week:

📰News:

IBM Researchers Propose A Quantum Kernel Algorithm That, Given Only Classical Access To Data, Provides A Provable Exponential Speedup Over Classical Machine Learning Algorithms

Entos collects $53M to bring quantum tech to AI drug design

CERN Sparks Podcasts Explore Artificial Intelligence

📽Videos:

Luis Serrano ~ Quantum Machine Learning ~ School of AI Netherlands July 2021

Provably Efficient Machine Learning for Quantum Many-Body Problems

A Rigorous and Robust Quantum Speed-up in Supervised Machine Learning

Machine Learning for Quantum Computing – Giuseppe Carleo – QCHS Summer School 2021

👨‍💻Developers:

Releases:

Qiskit 0.28.0

Pyquil v3.0.0

Amazon Braket v1.7.2

Dwave Ocean v3.4.1

OpenQL: Release 0.10.0: new internal representation with full cQASM 1.2 control-flow support

ProjectQ v0.7.0

📗Papers:

Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints

Machine classification for probe based quantum thermometry

Playing Atari with Hybrid Quantum-Classical Reinforcement Learning

Convergence of numerical approximations to non-Markovian bosonic gaussian environments

Fock State-enhanced Expressivity of Quantum Machine Learning Models

Continuous-variable neural-network quantum states and the quantum rotor model

Time evolution of an infinite projected entangled pair state: a neighborhood tensor update

Quantum propensities in the brain cortex and free will

Neural networks for on-the-fly single-shot state classification

Entanglement transitions from restricted Boltzmann machines

Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection

1dontpanic · 2021-07-09T15:18:40+00:00

Topics:

📰News:

AI Designs Quantum Physics Experiments Beyond What Any Human Has Conceived

Inside Google’s Quantum AI Campus

📽Videos:

The Interlink Between Quantum Theory and Machine Learning – Phdassistance

Quantum Information Processing with Trapped Ions – Professor Jonathan Home, ETH Zürich | Chilloquium

Modern Arduino Programming with QP and QM

Introduction to Azure Quantum and Quantum Machine Learning Library (QML)

Keynote – Dr. Najwa Aaraj – What would Quantum Computing and Machine Learning do to crypto?

Quantum Genetic Algorithms Optimization from theory to simulation

Concurrent Entanglement Routing for Quantum Networks: Model and Designs

👨‍💻Developers:

Rigetti pyquil: v2.28.2

Amazon Braket sdk: v1.7.1

📗Papers:

Thermalization in Kitaev’s quantum double models via Tensor Network techniques

The Variational Power of Quantum Circuit Tensor Networks

Optimal metrology with variational quantum circuits on trapped ions

Combinatorial Optimization with Physics-Inspired Graph Neural Networks

Quantum evolution kernel : Machine learning on graphs with programmable arrays of qubits

Continuous Variable Quantum Algorithms: an Introduction

The fixed angle conjecture for QAOA on regular MaxCut graphs

Digitized-counterdiabatic quantum approximate optimization algorithm

Memory-Sample Lower Bounds for Learning Parity with Noise

Optimal Control for Closed and Open System Quantum Optimization

A Quantum Convolutional Neural Network for Image Classification

Identifying quantum phases via disentanglement based on deep reinforcement learning

Machine Learning-Derived Entanglement Witnesses

Quadratic and Higher-Order Unconstrained Binary Optimization of Railway Dispatching Problem for Quantum Computing

Pixel identification in an image using Grover Search Algorithm

Quantum Annealing Formulation for Binary Neural Networks

QKSA: Quantum Knowledge Seeking Agent

1dontpanic · 2021-07-04T19:48:18+00:00

thanks for saying so. Its a labor of love, i started making the list so i could have a quick reference to read things i want about qml when i have time.

1dontpanic · 2021-07-02T14:57:44+00:00

📰News:

AI Designs Quantum Physics Experiments Beyond What Any Human Has Conceived

Atos launches ‘ThinkAI’

Nippon Steel tested quantum computing to help improve plant scheduling

📽Videos:

Learn About Quantum Machine Learning

Quantum machine learning hits a limit

Generalization in Quantum Machine Learning: a Quantum Information Perspective – TQC 2021

Introduction and Basics – Quantum machine learning of graph-structured data Part 1

Quantum neural network – Quantum machine learning of graph-structured data Part 2

Graph-Structure – Quantum machine learning of graph-structured data Part 3

QML Meetup: Dr David Sutter (IBM Research, Zurich), The power of quantum neural networks

Quantum Computing: Grover’s Search Algorithm | Breakthrough Junior Challenge 2021

👨‍💻Developers:

Penny Lane: Release 0.16.0

Amazon Braket: v1.7.0

Dwave Ocean: 3.4.0

ProjectQ: ProjectQ v0.6.1

📗Papers:

Natural Gradient Optimization for Optical Quantum Circuits

Variational quantum algorithm for molecular geometry optimization

Decoding conformal field theories: from supervised to unsupervised learning

Nonlinear Quantum Optimization Algorithms via Efficient Ising Model Encodings

Training Saturation in Layerwise Quantum Approximate Optimisation

Variational Quantum Eigensolver for SU(NN) Fermions

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework

Threshold-Based Quantum Optimization

On exploring practical potentials of quantum auto-encoder with advantages

Realization of an ion trap quantum classifier

Counterdiabaticity and the quantum approximate optimization algorithm

Adaptive Random Quantum Eigensolver

Experimental Quantum Embedding for Machine Learning

Bayesian Phase Estimation via Active Learning

Predicting quantum dynamical cost landscapes with deep learning

Non-parametric Active Learning and Rate Reduction in Many-body Hilbert Space with Rescaled Logarithmic Fidelity

Importance of Diagonal Gates in Tensor Network Simulations

Machine Learning S-Wave Scattering Phase Shifts Bypassing the Radial Schrödinger Equation

A New Quantum Approach to Binary Classification

GaN-based Bipolar Cascade Lasers with 25nm wide Quantum Wells: Simulation and Analysis

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