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Cirq
An Update on Google's Quantum Computing Initiative
A Tutorial Introduction to Quantum Circuit Programming in Dependently Typed Proto-Quipper
COVID-19 Detection on IBM Quantum Computer with Classical-Quantum Transfer Learning
Arxiv:1812.09167V1 [Quant-Ph] 21 Dec 2018 It with the Tex Typesetting System Being a Prime Example
Quantum Approximation for Wireless Scheduling
Heuristics for Quantum Compiling with a Continuous Gate Set Marc Grau Davis, Ethan Smith, Ana Tudor, Koushik Sen, Irfan Siddiqi, Costin Iancu
Resource-Efficient Quantum Computing By
EU–US Collaboration on Quantum Technologies Emerging Opportunities for Research and Standards-Setting
Arxiv:2003.02989V2 [Quant-Ph] 26 Aug 2021
Quantum Approximation for Wireless Scheduling Jaeho Choi, Seunghyeok Oh, and Joongheon Kim
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices
A Practical Introduction to Quantum Computing: from Qubits to Quantum Machine Learning and Beyond
Arxiv:2102.00329V1 [Cs.LO] 30 Jan 2021 Interfering Effects
Improving Quantum Computer Performance Through Noise and Error Suppression
Logical Abstractions for Noisy Variational Quantum Algorithm
Overview and Comparison of Gate Level Quantum Software Platforms Ryan Larose1,2
Languages and Representations for Quantum Computing: Stabilizers and Tensor Networks
Speciale: Quantum Technologies 2/2020 Notiziario Tecnico 2 Notiziariotecnico Anno 29 2/2020 3 Ditoriale
Top View
Noisy Variational Quantum Algorithm Simulation Via Knowledge Compilation for Repeated Inference: Extended Abstract
Instruction Material
Quantum Computing Trends
Extending the Frontier of Quantum Computers with Qutrits
Pennylane-Cirq Documentation Release 0.18.0-Dev
Cirq: a Python Framework for Creating, Editing, and Invoking Quantum Circuits
Quantum Machine Learning with Python Using Cirq from Google Research and IBM Qiskit
Resource-Efficient Quantum Computing By
Design Document V3
Arxiv:2010.02931V2 [Quant-Ph] 30 Dec 2020
Compact Ion-Trap Quantum Computing Demonstrator
Cirqprojectq Documentation Release 0
Verifying Results of the IBM Qiskit Quantum Circuit Compilation Flow
Development of a Vendor Independent Quantum Computing Transpiler
Asymptotic Improvements to Quantum Circuits Via Qutrits
An Open-Source Library for Quantum Machine Learning Masoud Mohseni
Development of Quantum Applications
QUANTIFY: a Framework for Resource Analysis and Design Verification Of