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In 2023, Bartolucci et al. proposed Fusion-Based Quantum Computing (FBQC), a universal quantum computation model constructed from two primitive operations: generating small-scale entangled resource states and performing projective entangling measurements ("fusions").
FBQC is particularly suitable for photonic architectures, addressing the limited physical qubit availability in the NISQ era. Unlike traditional MBQC requiring large cluster states, FBQC dynamically fuses small graph state components during computation, reducing demands on physical qubit count and coherence time.
By preparing small graph states across distributed nodes and executing MBQC collaboratively, FBQC provides a viable pathway for quantum computation in resource-constrained environments. |
IEEE/ICACT20260022 Slide.10
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