Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods-Reference-Cited by-同舟云学术

Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
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Author:

Pramanik Sayantan¹,Vaidya Vishnu¹,Malviya Gajendra²,Sinha Sudhir²,Salsingikar Shripad¹,Girish Chandra M²,Sridhar C V¹,Mathais Godfrey¹,Navelkar Vidyut¹

Affiliation:

1. TATA Consultancy Services,TCS Incubation,India

2. TATA Consultancy Services,TCS Research,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951048/9951167/09951309.pdf?arnumber=9951309

Reference14 articles.

1. Statistical Inference;casella;Duxbury,2002

2. Quantum algorithms for supervised and unsupervised machine learning;lloyd,2013

3. Mixed-Integer Quadratic Programming is in NP;del pia,2014

4. D-Wave Ocean SDK,0

5. Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods

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3. Optimization of Sensor-Placement on Vehicles using Quantum-Classical Hybrid Methods;2022 IEEE International Conference on Quantum Computing and Engineering (QCE);2022-09