Approximate Solutions of Combinatorial Problems via Quantum Relaxations

Author:

Fuller Bryce1ORCID,Hadfield Charles1,Glick Jennifer R.1,Imamichi Takashi2ORCID,Itoko Toshinari2,Thompson Richard J.3ORCID,Jiao Yang4ORCID,Kagele Marna M.5,Blom-Schieber Adriana W.6,Raymond Rudy2,Mezzacapo Antonio1

Affiliation:

1. IBM Quantum, IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA

2. IBM Quantum, IBM Research—Tokyo, Tokyo, Japan

3. Integrated Vehicle Systems, Boeing Research & Technology, Huntsville, AL, USA

4. Integrated Vehicle Systems, Boeing Research & Technology, Tukwila, WA, USA

5. Tech Vis and Integration, Global Technology, Boeing Research & Technology, Tukwila, WA, USA

6. Product Development—Structures, Boeing Commercial Aircraft, Everett, WA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference44 articles.

1. Quantum computation by adiabatic evolution;Farhi,2000

2. A quantum approximate optimization algorithm;Farhi,2014

3. A quantum approximate optimization algorithm applied to a bounded occurrence constraint problem;Farhi,2015

4. Quantum Approximate Optimization Algorithm: Performance, Mechanism, and Implementation on Near-Term Devices

5. Warm-starting quantum optimization

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