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Researchers demonstrate a three-qubit Grover's search algorithm using a silicon quantum processor. This advancement in quantum computing shows high fidelity for complex algorithms, paving the way for scalable quantum computers.

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Area of Science:

  • Quantum Computing
  • Solid-State Physics

Background:

  • Silicon spin qubits are promising for quantum computation.
  • Scaling up qubit count while maintaining high fidelity is a significant challenge.
  • Previous work has been limited to two-qubit algorithms.

Purpose of the Study:

  • To demonstrate a three-qubit Grover's search algorithm on a silicon quantum processor.
  • To achieve high-fidelity quantum operations with an increased number of qubits.
  • To explore the potential for scalable quantum computing using silicon spin qubits.

Main Methods:

  • Utilized a four-qubit silicon processor with precision-patterned phosphorus atoms.
  • Achieved single-qubit fidelities above 99.9% due to long coherence times.
  • Implemented efficient single-pulse multi-qubit operations using electron-nuclear hyperfine interaction for controlled-Z gates.

Main Results:

  • Successfully executed a three-qubit Grover's search algorithm with ~95% success probability.
  • Demonstrated controlled-Z gates between all pairs of nuclear spins with fidelities above 99%.
  • Created a three-qubit Greenberger-Horne-Zeilinger state with 96.2% fidelity.
  • All control fidelities were above the fault-tolerant threshold.

Conclusions:

  • High-fidelity quantum operations are achievable with an increased number of silicon spin qubits.
  • The demonstrated processor architecture and control methods are suitable for executing multi-qubit algorithms.
  • Coupling of nuclear spin registers via electron-electron exchange offers a path towards larger, fault-tolerant quantum processors.