期刊
NATURE PHYSICS
卷 17, 期 10, 页码 1137-+出版社
NATURE PORTFOLIO
DOI: 10.1038/s41567-021-01333-w
关键词
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资金
- Engineering and Physical Sciences Research Council (EPSRC)
- European Research Council (ERC)
- European Commission (EC) [00025298]
- Center of Excellence, Denmark SPOC [DNRF123]
- ERA-NET cofund initiatives QuantERA within the European Union's Horizon 2020 research and innovation programme grant [731473]
- EPSRC Hubs in Quantum Computing and Simulation [EP/T001062/1]
- Networked Quantum Information Technologies [EP/N509711/1]
- EPSRC [EP/N003470/1]
Error-protection schemes can increase the success rate of quantum algorithms. General-purpose quantum computers can entangle noisy physical qubits to protect against errors. Measurement-based quantum computing architectures are the most viable approach for constructing an all-photonic quantum computer.
Entangled photon states can be used to make quantum information more robust. A photonic experimental implementation with eight qubits shows that error-protection schemes can increase the success rate of running a quantum algorithm. General-purpose quantum computers can, in principle, entangle a number of noisy physical qubits to realize composite qubits protected against errors. Architectures for measurement-based quantum computing intrinsically support error-protected qubits and are the most viable approach for constructing an all-photonic quantum computer. Here we propose and demonstrate an integrated silicon photonic scheme that both entangles multiple photons, and encodes multiple physical qubits on individual photons, to produce error-protected qubits. We realize reconfigurable graph states to compare several schemes with and without error-correction encodings and implement a range of quantum information processing tasks. We observe a success rate increase from 62.5% to 95.8% when running a phase-estimation algorithm without and with error protection, respectively. Finally, we realize hypergraph states, which are a generalized class of resource states that offer protection against correlated errors. Our results show how quantum error-correction encodings can be implemented with resource-efficient photonic architectures to improve the performance of quantum algorithms.
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