Betis Baheri

According to our database, Betis Baheri authored at least 18 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Dataset for A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits.

Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech

Dataset, May, 2023

Understanding the Effect of Transpilation in the Reliability of Quantum Circuits.

Nicola Dilillo, Edoardo Giusto, Emanuele Dri, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Computing Reliability: Problems, Tools, and Potential Solutions.

Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

Approximate Quantum Circuit Reconstruction.

Daniel Chen, Betis Baheri, Vipin Chaudhary, Qiang Guan, Ning Xie, Shuai Xu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Pinpointing the System Reliability Degradation in NISQ Machines.

Betis Baheri, Zixuan Xu, Vipin Chaudhary, Ying Mao, Bo Fang, Shuai Xu, Qiang Guan

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Shuai Xu, Caiwen Ding

Proceedings of Machine Learning and Systems 2022, 2022

SQCC: Smart Quantum Circuit Cutting.

Betis Baheri, Qiang Guan, Shuai Xu, Vipin Chaudhary

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

MARS: Malleable Actor-Critic Reinforcement Learning Scheduler.

Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary, Qiang Guan

Proceedings of the IEEE International Performance, 2022

Quantum Noise in the Flow of Time: A Temporal Study of the Noise in Quantum Computers.

Betis Baheri, Qiang Guan, Vipin Chaudhary, Ang Li

Proceedings of the 28th IEEE International Symposium on On-Line Testing and Robust System Design, 2022

QuFI: a Quantum Fault Injector to Measure the Reliability of Qubits and Quantum Circuits.

Daniel Oliveira, Edoardo Giusto, Emanuele Dri, Nadir Casciola, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Temporal Analysis of Quantum Errors in NISQ Computers: an Empirical Study.

Betis Baheri

Dataset, September, 2021

A Systematic Methodology to Compute the Quantum Vulnerability Factors for Quantum Circuits.

Daniel Oliveira, Edoardo Giusto, Betis Baheri, Qiang Guan, Bartolomeo Montrucchio, Paolo Rech

CoRR, 2021

QuGAN: A Quantum State Fidelity based Generative Adversarial Network.

Samuel Alexander Stein, Betis Baheri, Daniel Chen, Ying Mao, Qiang Guan, Ang Li, Bo Fang, Shuai Xu

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

A Hybrid System for Learning Classical Data in Quantum States.

Samuel Alexander Stein, Ryan L'Abbate, Wenrui Mu, Yue Liu, Betis Baheri, Ying Mao, Qiang Guan, Ang Li, Bo Fang

Proceedings of the IEEE International Performance, 2021

TQEA: Temporal Quantum Error Analysis.

Betis Baheri, Daniel Chen, Bo Fang, Samuel Alexander Stein, Vipin Chaudhary, Ying Mao, Shuai Xu, Ang Li, Qiang Guan

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020

Quantum-Inspired Classical Algorithm for Slow Feature Analysis.

Daniel Chen, Yekun Xu, Betis Baheri, Samuel Alexander Stein, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu

CoRR, 2020

Quantum-Inspired Classical Algorithm for Principal Component Regression.

Daniel Chen, Yekun Xu, Betis Baheri, Chuan Bi, Ying Mao, Qiang Quan, Shuai Xu

CoRR, 2020

MARS: Multi-Scalable Actor-Critic Reinforcement Learning Scheduler.

Betis Baheri, Qiang Guan

CoRR, 2020