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Fusion-based quantum computation

Computer Science

Fusion-based quantum computation

S. Bartolucci, P. Birchall, et al.

This groundbreaking research introduces fusion-based quantum computation (FBQC), a cutting-edge fault-tolerant quantum computing model leveraging entangling measurements in photonic systems. With an impressive ability to tolerate a 10.4% photon loss probability per fusion, it offers high modularity and significantly reduced classical processing needs. This innovative work was conducted by a talented team of authors from PsiQuantum.... show more
Abstract
The standard primitives of quantum computing include deterministic unitary entangling gates, which are not natural operations in many systems including photonics. Here, we present fusion-based quantum computation, a model for fault tolerant quantum computing constructed from physical primitives readily accessible in photonic systems. These are entangling measurements, called fusions, which are performed on the qubits of small constant sized entangled resource states. Probabilistic photonic gates as well as errors are directly dealt with by the quantum error correction protocol. We show that this computational model can achieve a higher threshold than schemes reported in literature. We present a ballistic scheme which can tolerate a 10.4% probability of suffering photon loss in each fusion, which corresponds to a 2.7% probability of loss of each individual photon. The architecture is also highly modular and has reduced classical processing requirements compared to previous photonic quantum computing architectures.
Publisher
Nature Communications
Published On
Feb 17, 2023
Authors
Sara Bartolucci, Patrick Birchall, Hector Bombin, Hugo Cable, Chris Dawson, Mercedes Gimeno-Segovia, Eric Johnston, Konrad Kieling, Naomi Nickerson, Mihir Pant, Fernando Pastawski, Terry Rudolph, Chris Sparrow
Tags
quantum computation
fault-tolerant
entangled measurements
photon loss
modularity
classical processing
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