ObliQ: Solving Quadratic Unconstrained Binary Optimization Problems on Real Photonic Quantum Machines
Quadratic Unconstrained Binary Optimization (QUBO) problems are central to combinatorial optimization but challenging due to their exponential solution space. We aim to solve QUBO problems on photonic quantum computers via novel problem-customized optimizations and exploiting unique aspects of photonic quantum machine architecture. We present a novel solution, ObliQ , that creates a hybrid quantum circuit composed of two parts: a theoretically grounded, non-tunable, problem-customized quantum circuit and a parameterized variational quantum circuit -- underlined by the co-design of photonic quantum hardware and software.
Authors
- Tirthak Patel (ORCID: https://orcid.org/0000-0003-3127-5931)
- Daniel J. Silver (ORCID: https://orcid.org/0000-0002-7085-2626)
- Devesh Tiwari
- Aditya Ranjan (ORCID: https://orcid.org/0009-0007-6808-0093)
- Bhargav Chickmagalurnanjun (ORCID: https://orcid.org/0009-0000-0352-2312)
Institutions
- Northeastern University (US)
- Rice University (US)
Publication Details
- Journal
- Proceedings of the ACM on Measurement and Analysis of Computing Systems
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1145/3771573
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00