Quantum Computer

Quantum computers aim to leverage quantum mechanics for computations exceeding classical capabilities, primarily focusing on optimization and machine learning tasks. Current research emphasizes developing efficient quantum algorithms and architectures, including variational quantum circuits, quantum neural networks (both hybrid and fully quantum), and quantum-enhanced versions of classical algorithms like Grover's search. These advancements are being tested on noisy intermediate-scale quantum (NISQ) devices and cloud platforms, addressing challenges like error mitigation, data security, and efficient circuit design to demonstrate practical applications in diverse fields such as finance, materials science, and drug discovery.

Papers

October 16, 2023

Certainty In, Certainty Out: REVQCs for Quantum Machine Learning
Hannah Helgesen, Michael Felsberg, Jan-Åke Larsson
Quantum Machine Learning Quantum Computer Variational Quantum Circuit Exact Inference Single Sample

October 9, 2023

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network
Johannes Bausch, Andrew W Senior, Francisco J H Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli
LeArning Abstract Quantum Computer Accurate Decoding Recurrent Event Quantum Processor Code Data Transformer Based Neural Network Quantum Error Fault Tolerant Quantum

September 30, 2023

A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong
Quantum Machine Learning Quantum Computer Cloud Computing Human Centric

September 29, 2023

Machine Learning for Practical Quantum Error Mitigation
Haoran Liao, Derek S. Wang, Iskandar Sitdikov, Ciro Salcedo, Alireza Seif, Zlatko K. Minev
Machine Learning Quantum Computer Quantum Error Practical Quantum

September 27, 2023

Efficient tensor network simulation of IBM's largest quantum processors
Siddhartha Patra, Saeed S. Jahromi, Sukhbinder Singh, Roman Orus
Quantum Computer Tensor Network Quantum Processor Connectivity Pattern

September 26, 2023

September 22, 2023

Data is often loadable in short depth: Quantum circuits from tensor networks for finance, images, fluids, and proteins
Raghav Jumade, Nicolas PD Sawaya
Raw Data Quantum Circuit Quantum Computer Quantum Algorithm Tensor Network Digital Image Dynamic Loading Classical Data

September 4, 2023

A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde, Charu Jain, Amir Kalev
Quantum Physic Quantum Computer Model Overfitting Quantum Convolutional Neural Network Post Training

August 15, 2023

August 3, 2023

Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
Gloria Turati, Maurizio Ferrari Dacrema, Paolo Cremonesi
Quantum Computer Variational Quantum Algorithm Variational Quantum Quantum Approximate Optimization Algorithm Box Qubo

July 31, 2023

Hybrid quantum transfer learning for crack image classification on NISQ hardware
Alexander Geng, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Quantum Machine Learning Quantum Computer Variational Quantum Algorithm Intermediate Scale Quantum Crack Detection Multiple Physical Qubits Quantum Transfer Learning

July 28, 2023

Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach
Marco Russo, Edoardo Giusto, Bartolomeo Montrucchio
Quantum Computer Quantum Kernel Supervised Classification Quantum Kernel Estimation Neutral Atom Gate Function

July 26, 2023

Training Quantum Boltzmann Machines with Coresets
Joshua Viszlai, Teague Tomesh, Pranav Gokhale, Eric Anschuetz, Frederic T. Chong
Quantum Computer Quantum Algorithm COreset Selection Coreset Size Quantum Boltzmann Machine

July 20, 2023

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
Jishnu Mahmud, Raisa Mashtura, Shaikh Anowarul Fattah, Mohammad Saquib
Classification Code Quantum Machine Learning Quantum Computer Quantum Convolutional Neural Network Classical Data Qubit System Layer Interaction

July 19, 2023

Automatic Conversion of MiniZinc Programs to QUBO
Armin Wolf, Cristian Grozea
Quantum Computer Automated Conversion Quadratic Unconstrained Binary Optimisation Problem Box Qubo

July 17, 2023

A Quantum Convolutional Neural Network Approach for Object Detection and Classification
Gowri Namratha Meedinti, Kandukuri Sai Srirekha, Radhakrishnan Delhibabu
Classification Code Quantum Computer Multiple Physical Qubits Quantum Convolutional Neural Network Classical Convolutional Neural Network

July 3, 2023

Reliable AI: Does the Next Generation Require Quantum Computing?
Aras Bacho, Holger Boche, Gitta Kutyniok
Artificial Intelligence Quantum Computing Quantum Physic Quantum Circuit Quantum Computer Next Generation Quantum Computing Model

June 30, 2023

Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?
Stefan Hill, David Fitzek, Patrick Delfmann, Carl Corea
Quantum Machine Learning Quantum Computer Predictive Performance Prediction Accuracy Quantum Machine Learning Model Multiple Candidate Predictive Process Monitoring

Quantum Computer

Papers

Certainty In, Certainty Out: REVQCs for Quantum Machine Learning

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network

A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud

Machine Learning for Practical Quantum Error Mitigation

Efficient tensor network simulation of IBM's largest quantum processors

SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers

QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers

Data is often loadable in short depth: Quantum circuits from tensor networks for finance, images, fluids, and proteins

A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks

Potential Energy Advantage of Quantum Economy

Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance

Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances

Hybrid quantum transfer learning for crack image classification on NISQ hardware

Quantum Kernel Estimation With Neutral Atoms For Supervised Classification: A Gate-Based Approach

Training Quantum Boltzmann Machines with Coresets

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data

Automatic Conversion of MiniZinc Programs to QUBO

A Quantum Convolutional Neural Network Approach for Object Detection and Classification

Reliable AI: Does the Next Generation Require Quantum Computing?

Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning?