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Implementing the quantum von Neumann architecture with superconducting circuits.

Matteo Mariantoni1, H Wang, T Yamamoto

  • 1Department of Physics, University of California, Santa Barbara, CA 93106-9530, USA. matmar@physics.ucsb.edu

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Researchers developed a quantum central processing unit (CPU) with integrated quantum memory. This quantum machine executes algorithms like the quantum Fourier transform, paving the way for quantum computing applications.

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Area of Science:

  • Quantum Computing
  • Computer Architecture

Background:

  • Classical computers use the von Neumann architecture with a central processing unit and memory.
  • Quantum computing requires novel architectures for processing and data storage.

Purpose of the Study:

  • To demonstrate a quantum central processing unit (CPU) integrated with quantum random-access memory (qRAM) on a single chip.
  • To test the quantum CPU's ability to execute quantum algorithms using superconducting qubits.

Main Methods:

  • Developed a quantum CPU architecture exchanging data with an on-chip qRAM.
  • Utilized two superconducting qubits, a quantum bus, two quantum memories, and two zeroing registers.
  • Executed quantum algorithms with instructions stored on a classical computer.

Main Results:

  • Achieved 66% process fidelity for the quantum Fourier transform algorithm.
  • Demonstrated 98% phase fidelity for a three-qubit Toffoli-class OR phase gate.
  • Successfully executed quantum codes involving seven quantum elements.

Conclusions:

  • The demonstrated quantum architecture offers a viable approach for future quantum computers.
  • Results suggest potential for number factoring and implementing quantum error correction codes.
  • Further improvements in qubit coherence are expected to enhance performance.